Welcome to TiddlyWiki created by Jeremy Ruston, Copyright © 2007 UnaMesa Association
<!--{{{-->
<link rel='alternate' type='application/rss+xml' title='RSS' href='index.xml'/>
<!--}}}-->
Background: #fff
Foreground: #000
PrimaryPale: #8cf
PrimaryLight: #18f
PrimaryMid: #04b
PrimaryDark: #014
SecondaryPale: #ffc
SecondaryLight: #fe8
SecondaryMid: #db4
SecondaryDark: #841
TertiaryPale: #eee
TertiaryLight: #ccc
TertiaryMid: #999
TertiaryDark: #666
Error: #f88
/*{{{*/
body {background:[[ColorPalette::Background]]; color:[[ColorPalette::Foreground]];}
a {color:[[ColorPalette::PrimaryMid]];}
a:hover {background-color:[[ColorPalette::PrimaryMid]]; color:[[ColorPalette::Background]];}
a img {border:0;}
h1,h2,h3,h4,h5,h6 {color:[[ColorPalette::SecondaryDark]]; background:transparent;}
h1 {border-bottom:2px solid [[ColorPalette::TertiaryLight]];}
h2,h3 {border-bottom:1px solid [[ColorPalette::TertiaryLight]];}
.button {color:[[ColorPalette::PrimaryDark]]; border:1px solid [[ColorPalette::Background]];}
.button:hover {color:[[ColorPalette::PrimaryDark]]; background:[[ColorPalette::SecondaryLight]]; border-color:[[ColorPalette::SecondaryMid]];}
.button:active {color:[[ColorPalette::Background]]; background:[[ColorPalette::SecondaryMid]]; border:1px solid [[ColorPalette::SecondaryDark]];}
.header {background:[[ColorPalette::PrimaryMid]];}
.headerShadow {color:[[ColorPalette::Foreground]];}
.headerShadow a {font-weight:normal; color:[[ColorPalette::Foreground]];}
.headerForeground {color:[[ColorPalette::Background]];}
.headerForeground a {font-weight:normal; color:[[ColorPalette::PrimaryPale]];}
.tabSelected{color:[[ColorPalette::PrimaryDark]];
background:[[ColorPalette::TertiaryPale]];
border-left:1px solid [[ColorPalette::TertiaryLight]];
border-top:1px solid [[ColorPalette::TertiaryLight]];
border-right:1px solid [[ColorPalette::TertiaryLight]];
}
.tabUnselected {color:[[ColorPalette::Background]]; background:[[ColorPalette::TertiaryMid]];}
.tabContents {color:[[ColorPalette::PrimaryDark]]; background:[[ColorPalette::TertiaryPale]]; border:1px solid [[ColorPalette::TertiaryLight]];}
.tabContents .button {border:0;}
#sidebar {}
#sidebarOptions input {border:1px solid [[ColorPalette::PrimaryMid]];}
#sidebarOptions .sliderPanel {background:[[ColorPalette::PrimaryPale]];}
#sidebarOptions .sliderPanel a {border:none;color:[[ColorPalette::PrimaryMid]];}
#sidebarOptions .sliderPanel a:hover {color:[[ColorPalette::Background]]; background:[[ColorPalette::PrimaryMid]];}
#sidebarOptions .sliderPanel a:active {color:[[ColorPalette::PrimaryMid]]; background:[[ColorPalette::Background]];}
.wizard {background:[[ColorPalette::PrimaryPale]]; border:1px solid [[ColorPalette::PrimaryMid]];}
.wizard h1 {color:[[ColorPalette::PrimaryDark]]; border:none;}
.wizard h2 {color:[[ColorPalette::Foreground]]; border:none;}
.wizardStep {background:[[ColorPalette::Background]]; color:[[ColorPalette::Foreground]];
border:1px solid [[ColorPalette::PrimaryMid]];}
.wizardStep.wizardStepDone {background:[[ColorPalette::TertiaryLight]];}
.wizardFooter {background:[[ColorPalette::PrimaryPale]];}
.wizardFooter .status {background:[[ColorPalette::PrimaryDark]]; color:[[ColorPalette::Background]];}
.wizard .button {color:[[ColorPalette::Foreground]]; background:[[ColorPalette::SecondaryLight]]; border: 1px solid;
border-color:[[ColorPalette::SecondaryPale]] [[ColorPalette::SecondaryDark]] [[ColorPalette::SecondaryDark]] [[ColorPalette::SecondaryPale]];}
.wizard .button:hover {color:[[ColorPalette::Foreground]]; background:[[ColorPalette::Background]];}
.wizard .button:active {color:[[ColorPalette::Background]]; background:[[ColorPalette::Foreground]]; border: 1px solid;
border-color:[[ColorPalette::PrimaryDark]] [[ColorPalette::PrimaryPale]] [[ColorPalette::PrimaryPale]] [[ColorPalette::PrimaryDark]];}
#messageArea {border:1px solid [[ColorPalette::SecondaryMid]]; background:[[ColorPalette::SecondaryLight]]; color:[[ColorPalette::Foreground]];}
#messageArea .button {color:[[ColorPalette::PrimaryMid]]; background:[[ColorPalette::SecondaryPale]]; border:none;}
.popupTiddler {background:[[ColorPalette::TertiaryPale]]; border:2px solid [[ColorPalette::TertiaryMid]];}
.popup {background:[[ColorPalette::TertiaryPale]]; color:[[ColorPalette::TertiaryDark]]; border-left:1px solid [[ColorPalette::TertiaryMid]]; border-top:1px solid [[ColorPalette::TertiaryMid]]; border-right:2px solid [[ColorPalette::TertiaryDark]]; border-bottom:2px solid [[ColorPalette::TertiaryDark]];}
.popup hr {color:[[ColorPalette::PrimaryDark]]; background:[[ColorPalette::PrimaryDark]]; border-bottom:1px;}
.popup li.disabled {color:[[ColorPalette::TertiaryMid]];}
.popup li a, .popup li a:visited {color:[[ColorPalette::Foreground]]; border: none;}
.popup li a:hover {background:[[ColorPalette::SecondaryLight]]; color:[[ColorPalette::Foreground]]; border: none;}
.popup li a:active {background:[[ColorPalette::SecondaryPale]]; color:[[ColorPalette::Foreground]]; border: none;}
.popupHighlight {background:[[ColorPalette::Background]]; color:[[ColorPalette::Foreground]];}
.listBreak div {border-bottom:1px solid [[ColorPalette::TertiaryDark]];}
.tiddler .defaultCommand {font-weight:bold;}
.shadow .title {color:[[ColorPalette::TertiaryDark]];}
.title {color:[[ColorPalette::SecondaryDark]];}
.subtitle {color:[[ColorPalette::TertiaryDark]];}
.toolbar {color:[[ColorPalette::PrimaryMid]];}
.toolbar a {color:[[ColorPalette::TertiaryLight]];}
.selected .toolbar a {color:[[ColorPalette::TertiaryMid]];}
.selected .toolbar a:hover {color:[[ColorPalette::Foreground]];}
.tagging, .tagged {border:1px solid [[ColorPalette::TertiaryPale]]; background-color:[[ColorPalette::TertiaryPale]];}
.selected .tagging, .selected .tagged {background-color:[[ColorPalette::TertiaryLight]]; border:1px solid [[ColorPalette::TertiaryMid]];}
.tagging .listTitle, .tagged .listTitle {color:[[ColorPalette::PrimaryDark]];}
.tagging .button, .tagged .button {border:none;}
.footer {color:[[ColorPalette::TertiaryLight]];}
.selected .footer {color:[[ColorPalette::TertiaryMid]];}
.sparkline {background:[[ColorPalette::PrimaryPale]]; border:0;}
.sparktick {background:[[ColorPalette::PrimaryDark]];}
.error, .errorButton {color:[[ColorPalette::Foreground]]; background:[[ColorPalette::Error]];}
.warning {color:[[ColorPalette::Foreground]]; background:[[ColorPalette::SecondaryPale]];}
.lowlight {background:[[ColorPalette::TertiaryLight]];}
.zoomer {background:none; color:[[ColorPalette::TertiaryMid]]; border:3px solid [[ColorPalette::TertiaryMid]];}
.imageLink, #displayArea .imageLink {background:transparent;}
.annotation {background:[[ColorPalette::SecondaryLight]]; color:[[ColorPalette::Foreground]]; border:2px solid [[ColorPalette::SecondaryMid]];}
.viewer .listTitle {list-style-type:none; margin-left:-2em;}
.viewer .button {border:1px solid [[ColorPalette::SecondaryMid]];}
.viewer blockquote {border-left:3px solid [[ColorPalette::TertiaryDark]];}
.viewer table, table.twtable {border:2px solid [[ColorPalette::TertiaryDark]];}
.viewer th, .viewer thead td, .twtable th, .twtable thead td {background:[[ColorPalette::SecondaryMid]]; border:1px solid [[ColorPalette::TertiaryDark]]; color:[[ColorPalette::Background]];}
.viewer td, .viewer tr, .twtable td, .twtable tr {border:1px solid [[ColorPalette::TertiaryDark]];}
.viewer pre {border:1px solid [[ColorPalette::SecondaryLight]]; background:[[ColorPalette::SecondaryPale]];}
.viewer code {color:[[ColorPalette::SecondaryDark]];}
.viewer hr {border:0; border-top:dashed 1px [[ColorPalette::TertiaryDark]]; color:[[ColorPalette::TertiaryDark]];}
.highlight, .marked {background:[[ColorPalette::SecondaryLight]];}
.editor input {border:1px solid [[ColorPalette::PrimaryMid]];}
.editor textarea {border:1px solid [[ColorPalette::PrimaryMid]]; width:100%;}
.editorFooter {color:[[ColorPalette::TertiaryMid]];}
#backstageArea {background:[[ColorPalette::Foreground]]; color:[[ColorPalette::TertiaryMid]];}
#backstageArea a {background:[[ColorPalette::Foreground]]; color:[[ColorPalette::Background]]; border:none;}
#backstageArea a:hover {background:[[ColorPalette::SecondaryLight]]; color:[[ColorPalette::Foreground]]; }
#backstageArea a.backstageSelTab {background:[[ColorPalette::Background]]; color:[[ColorPalette::Foreground]];}
#backstageButton a {background:none; color:[[ColorPalette::Background]]; border:none;}
#backstageButton a:hover {background:[[ColorPalette::Foreground]]; color:[[ColorPalette::Background]]; border:none;}
#backstagePanel {background:[[ColorPalette::Background]]; border-color: [[ColorPalette::Background]] [[ColorPalette::TertiaryDark]] [[ColorPalette::TertiaryDark]] [[ColorPalette::TertiaryDark]];}
.backstagePanelFooter .button {border:none; color:[[ColorPalette::Background]];}
.backstagePanelFooter .button:hover {color:[[ColorPalette::Foreground]];}
#backstageCloak {background:[[ColorPalette::Foreground]]; opacity:0.6; filter:'alpha(opacity:60)';}
/*}}}*/
/*{{{*/
* html .tiddler {height:1%;}
body {font-size:.75em; font-family:arial,helvetica; margin:0; padding:0;}
h1,h2,h3,h4,h5,h6 {font-weight:bold; text-decoration:none;}
h1,h2,h3 {padding-bottom:1px; margin-top:1.2em;margin-bottom:0.3em;}
h4,h5,h6 {margin-top:1em;}
h1 {font-size:1.35em;}
h2 {font-size:1.25em;}
h3 {font-size:1.1em;}
h4 {font-size:1em;}
h5 {font-size:.9em;}
hr {height:1px;}
a {text-decoration:none;}
dt {font-weight:bold;}
ol {list-style-type:decimal;}
ol ol {list-style-type:lower-alpha;}
ol ol ol {list-style-type:lower-roman;}
ol ol ol ol {list-style-type:decimal;}
ol ol ol ol ol {list-style-type:lower-alpha;}
ol ol ol ol ol ol {list-style-type:lower-roman;}
ol ol ol ol ol ol ol {list-style-type:decimal;}
.txtOptionInput {width:11em;}
#contentWrapper .chkOptionInput {border:0;}
.externalLink {text-decoration:underline;}
.indent {margin-left:3em;}
.outdent {margin-left:3em; text-indent:-3em;}
code.escaped {white-space:nowrap;}
.tiddlyLinkExisting {font-weight:bold;}
.tiddlyLinkNonExisting {font-style:italic;}
/* the 'a' is required for IE, otherwise it renders the whole tiddler in bold */
a.tiddlyLinkNonExisting.shadow {font-weight:bold;}
#mainMenu .tiddlyLinkExisting,
#mainMenu .tiddlyLinkNonExisting,
#sidebarTabs .tiddlyLinkNonExisting {font-weight:normal; font-style:normal;}
#sidebarTabs .tiddlyLinkExisting {font-weight:bold; font-style:normal;}
.header {position:relative;}
.header a:hover {background:transparent;}
.headerShadow {position:relative; padding:4.5em 0em 1em 1em; left:-1px; top:-1px;}
.headerForeground {position:absolute; padding:4.5em 0em 1em 1em; left:0px; top:0px;}
.siteTitle {font-size:3em;}
.siteSubtitle {font-size:1.2em;}
#mainMenu {position:absolute; left:0; width:10em; text-align:right; line-height:1.6em; padding:1.5em 0.5em 0.5em 0.5em; font-size:1.1em;}
#sidebar {position:absolute; right:3px; width:16em; font-size:.9em;}
#sidebarOptions {padding-top:0.3em;}
#sidebarOptions a {margin:0em 0.2em; padding:0.2em 0.3em; display:block;}
#sidebarOptions input {margin:0.4em 0.5em;}
#sidebarOptions .sliderPanel {margin-left:1em; padding:0.5em; font-size:.85em;}
#sidebarOptions .sliderPanel a {font-weight:bold; display:inline; padding:0;}
#sidebarOptions .sliderPanel input {margin:0 0 .3em 0;}
#sidebarTabs .tabContents {width:15em; overflow:hidden;}
.wizard {padding:0.1em 1em 0em 2em;}
.wizard h1 {font-size:2em; font-weight:bold; background:none; padding:0em 0em 0em 0em; margin:0.4em 0em 0.2em 0em;}
.wizard h2 {font-size:1.2em; font-weight:bold; background:none; padding:0em 0em 0em 0em; margin:0.4em 0em 0.2em 0em;}
.wizardStep {padding:1em 1em 1em 1em;}
.wizard .button {margin:0.5em 0em 0em 0em; font-size:1.2em;}
.wizardFooter {padding:0.8em 0.4em 0.8em 0em;}
.wizardFooter .status {padding:0em 0.4em 0em 0.4em; margin-left:1em;}
.wizard .button {padding:0.1em 0.2em 0.1em 0.2em;}
#messageArea {position:fixed; top:2em; right:0em; margin:0.5em; padding:0.5em; z-index:2000; _position:absolute;}
.messageToolbar {display:block; text-align:right; padding:0.2em 0.2em 0.2em 0.2em;}
#messageArea a {text-decoration:underline;}
.tiddlerPopupButton {padding:0.2em 0.2em 0.2em 0.2em;}
.popupTiddler {position: absolute; z-index:300; padding:1em 1em 1em 1em; margin:0;}
.popup {position:absolute; z-index:300; font-size:.9em; padding:0; list-style:none; margin:0;}
.popup .popupMessage {padding:0.4em;}
.popup hr {display:block; height:1px; width:auto; padding:0; margin:0.2em 0em;}
.popup li.disabled {padding:0.4em;}
.popup li a {display:block; padding:0.4em; font-weight:normal; cursor:pointer;}
.listBreak {font-size:1px; line-height:1px;}
.listBreak div {margin:2px 0;}
.tabset {padding:1em 0em 0em 0.5em;}
.tab {margin:0em 0em 0em 0.25em; padding:2px;}
.tabContents {padding:0.5em;}
.tabContents ul, .tabContents ol {margin:0; padding:0;}
.txtMainTab .tabContents li {list-style:none;}
.tabContents li.listLink { margin-left:.75em;}
#contentWrapper {display:block;}
#splashScreen {display:none;}
#displayArea {margin:1em 17em 0em 14em;}
.toolbar {text-align:right; font-size:.9em;}
.tiddler {padding:1em 1em 0em 1em;}
.missing .viewer,.missing .title {font-style:italic;}
.title {font-size:1.6em; font-weight:bold;}
.missing .subtitle {display:none;}
.subtitle {font-size:1.1em;}
.tiddler .button {padding:0.2em 0.4em;}
.tagging {margin:0.5em 0.5em 0.5em 0; float:left; display:none;}
.isTag .tagging {display:block;}
.tagged {margin:0.5em; float:right;}
.tagging, .tagged {font-size:0.9em; padding:0.25em;}
.tagging ul, .tagged ul {list-style:none; margin:0.25em; padding:0;}
.tagClear {clear:both;}
.footer {font-size:.9em;}
.footer li {display:inline;}
.annotation {padding:0.5em; margin:0.5em;}
* html .viewer pre {width:99%; padding:0 0 1em 0;}
.viewer {line-height:1.4em; padding-top:0.5em;}
.viewer .button {margin:0em 0.25em; padding:0em 0.25em;}
.viewer blockquote {line-height:1.5em; padding-left:0.8em;margin-left:2.5em;}
.viewer ul, .viewer ol {margin-left:0.5em; padding-left:1.5em;}
.viewer table, table.twtable {border-collapse:collapse; margin:0.8em 1.0em;}
.viewer th, .viewer td, .viewer tr,.viewer caption,.twtable th, .twtable td, .twtable tr,.twtable caption {padding:3px;}
table.listView {font-size:0.85em; margin:0.8em 1.0em;}
table.listView th, table.listView td, table.listView tr {padding:0px 3px 0px 3px;}
.viewer pre {padding:0.5em; margin-left:0.5em; font-size:1.2em; line-height:1.4em; overflow:auto;}
.viewer code {font-size:1.2em; line-height:1.4em;}
.editor {font-size:1.1em;}
.editor input, .editor textarea {display:block; width:100%; font:inherit;}
.editorFooter {padding:0.25em 0em; font-size:.9em;}
.editorFooter .button {padding-top:0px; padding-bottom:0px;}
.fieldsetFix {border:0; padding:0; margin:1px 0px 1px 0px;}
.sparkline {line-height:1em;}
.sparktick {outline:0;}
.zoomer {font-size:1.1em; position:absolute; overflow:hidden;}
.zoomer div {padding:1em;}
* html #backstage {width:99%;}
* html #backstageArea {width:99%;}
#backstageArea {display:none; position:relative; overflow: hidden; z-index:150; padding:0.3em 0.5em 0.3em 0.5em;}
#backstageToolbar {position:relative;}
#backstageArea a {font-weight:bold; margin-left:0.5em; padding:0.3em 0.5em 0.3em 0.5em;}
#backstageButton {display:none; position:absolute; z-index:175; top:0em; right:0em;}
#backstageButton a {padding:0.1em 0.4em 0.1em 0.4em; margin:0.1em 0.1em 0.1em 0.1em;}
#backstage {position:relative; width:100%; z-index:50;}
#backstagePanel {display:none; z-index:100; position:absolute; margin:0em 3em 0em 3em; padding:1em 1em 1em 1em;}
.backstagePanelFooter {padding-top:0.2em; float:right;}
.backstagePanelFooter a {padding:0.2em 0.4em 0.2em 0.4em;}
#backstageCloak {display:none; z-index:20; position:absolute; width:100%; height:100px;}
.whenBackstage {display:none;}
.backstageVisible .whenBackstage {display:block;}
/*}}}*/
/***
StyleSheet for use when a translation requires any css style changes.
This StyleSheet can be used directly by languages such as Chinese, Japanese and Korean which need larger font sizes.
***/
/*{{{*/
body {font-size:0.8em;}
#sidebarOptions {font-size:1.05em;}
#sidebarOptions a {font-style:normal;}
#sidebarOptions .sliderPanel {font-size:0.95em;}
.subtitle {font-size:0.8em;}
.viewer table.listView {font-size:0.95em;}
/*}}}*/
/*{{{*/
@media print {
#mainMenu, #sidebar, #messageArea, .toolbar, #backstageButton, #backstageArea {display: none ! important;}
#displayArea {margin: 1em 1em 0em 1em;}
/* Fixes a feature in Firefox 1.5.0.2 where print preview displays the noscript content */
noscript {display:none;}
}
/*}}}*/
<!--{{{-->
<div class='header' macro='gradient vert [[ColorPalette::PrimaryLight]] [[ColorPalette::PrimaryMid]]'>
<div class='headerShadow'>
<span class='siteTitle' refresh='content' tiddler='SiteTitle'></span>
<span class='siteSubtitle' refresh='content' tiddler='SiteSubtitle'></span>
</div>
<div class='headerForeground'>
<span class='siteTitle' refresh='content' tiddler='SiteTitle'></span>
<span class='siteSubtitle' refresh='content' tiddler='SiteSubtitle'></span>
</div>
</div>
<div id='mainMenu' refresh='content' tiddler='MainMenu'></div>
<div id='sidebar'>
<div id='sidebarOptions' refresh='content' tiddler='SideBarOptions'></div>
<div id='sidebarTabs' refresh='content' force='true' tiddler='SideBarTabs'></div>
</div>
<div id='displayArea'>
<div id='messageArea'></div>
<div id='tiddlerDisplay'></div>
</div>
<!--}}}-->
<!--{{{-->
<div class='toolbar' macro='toolbar closeTiddler closeOthers +editTiddler > fields syncing permalink references jump'></div>
<div class='title' macro='view title'></div>
<div class='subtitle'><span macro='view modifier link'></span>, <span macro='view modified date'></span> (<span macro='message views.wikified.createdPrompt'></span> <span macro='view created date'></span>)</div>
<div class='tagging' macro='tagging'></div>
<div class='tagged' macro='tags'></div>
<div class='viewer' macro='view text wikified'></div>
<div class='tagClear'></div>
<!--}}}-->
<!--{{{-->
<div class='toolbar' macro='toolbar +saveTiddler -cancelTiddler deleteTiddler'></div>
<div class='title' macro='view title'></div>
<div class='editor' macro='edit title'></div>
<div macro='annotations'></div>
<div class='editor' macro='edit text'></div>
<div class='editor' macro='edit tags'></div><div class='editorFooter'><span macro='message views.editor.tagPrompt'></span><span macro='tagChooser'></span></div>
<!--}}}-->
To get started with this blank TiddlyWiki, you'll need to modify the following tiddlers:
* SiteTitle & SiteSubtitle: The title and subtitle of the site, as shown above (after saving, they will also appear in the browser title bar)
* MainMenu: The menu (usually on the left)
* DefaultTiddlers: Contains the names of the tiddlers that you want to appear when the TiddlyWiki is opened
You'll also need to enter your username for signing your edits: <<option txtUserName>>
These InterfaceOptions for customising TiddlyWiki are saved in your browser
Your username for signing your edits. Write it as a WikiWord (eg JoeBloggs)
<<option txtUserName>>
<<option chkSaveBackups>> SaveBackups
<<option chkAutoSave>> AutoSave
<<option chkRegExpSearch>> RegExpSearch
<<option chkCaseSensitiveSearch>> CaseSensitiveSearch
<<option chkAnimate>> EnableAnimations
----
Also see AdvancedOptions
!Senior Lecturer in Statistics
[[School of Mathematics and Statistics|http://www.gla.ac.uk/schools/mathematicsstatistics/]],
[[University of Glasgow|http://www.gla.ac.uk]],
The Mathematics and Statistics Building,
University Place,
Glasgow G12 8QQ,
UK
| office|Room 317|
| phone|0141 330 6117|
| email| [[tereza.neocleous at glasgow |tereza.neocleous@glasgow.ac.uk]] |
! Profiles
[[Google Scholar|http://scholar.google.co.uk/citations?user=OZufIvkAAAAJ&hl=en]]
[[ORCID|https://orcid.org/0000-0001-7792-4541]]
[[Mathematics Genealogy Project|https://www.mathgenealogy.org/id.php?id=93825]]
[[LinkedIn|https://www.linkedin.com/in/tereza-neocleous-226354126/]]
[[Loop|https://loop.frontiersin.org/people/1102343/overview]]
/***
|''Name:''|CryptoFunctionsPlugin|
|''Description:''|Support for cryptographic functions|
***/
//{{{
if(!version.extensions.CryptoFunctionsPlugin) {
version.extensions.CryptoFunctionsPlugin = {installed:true};
//--
//-- Crypto functions and associated conversion routines
//--
// Crypto "namespace"
function Crypto() {}
// Convert a string to an array of big-endian 32-bit words
Crypto.strToBe32s = function(str)
{
var be = Array();
var len = Math.floor(str.length/4);
var i, j;
for(i=0, j=0; i<len; i++, j+=4) {
be[i] = ((str.charCodeAt(j)&0xff) << 24)|((str.charCodeAt(j+1)&0xff) << 16)|((str.charCodeAt(j+2)&0xff) << 8)|(str.charCodeAt(j+3)&0xff);
}
while (j<str.length) {
be[j>>2] |= (str.charCodeAt(j)&0xff)<<(24-(j*8)%32);
j++;
}
return be;
};
// Convert an array of big-endian 32-bit words to a string
Crypto.be32sToStr = function(be)
{
var str = "";
for(var i=0;i<be.length*32;i+=8)
str += String.fromCharCode((be[i>>5]>>>(24-i%32)) & 0xff);
return str;
};
// Convert an array of big-endian 32-bit words to a hex string
Crypto.be32sToHex = function(be)
{
var hex = "0123456789ABCDEF";
var str = "";
for(var i=0;i<be.length*4;i++)
str += hex.charAt((be[i>>2]>>((3-i%4)*8+4))&0xF) + hex.charAt((be[i>>2]>>((3-i%4)*8))&0xF);
return str;
};
// Return, in hex, the SHA-1 hash of a string
Crypto.hexSha1Str = function(str)
{
return Crypto.be32sToHex(Crypto.sha1Str(str));
};
// Return the SHA-1 hash of a string
Crypto.sha1Str = function(str)
{
return Crypto.sha1(Crypto.strToBe32s(str),str.length);
};
// Calculate the SHA-1 hash of an array of blen bytes of big-endian 32-bit words
Crypto.sha1 = function(x,blen)
{
// Add 32-bit integers, wrapping at 32 bits
add32 = function(a,b)
{
var lsw = (a&0xFFFF)+(b&0xFFFF);
var msw = (a>>16)+(b>>16)+(lsw>>16);
return (msw<<16)|(lsw&0xFFFF);
};
// Add five 32-bit integers, wrapping at 32 bits
add32x5 = function(a,b,c,d,e)
{
var lsw = (a&0xFFFF)+(b&0xFFFF)+(c&0xFFFF)+(d&0xFFFF)+(e&0xFFFF);
var msw = (a>>16)+(b>>16)+(c>>16)+(d>>16)+(e>>16)+(lsw>>16);
return (msw<<16)|(lsw&0xFFFF);
};
// Bitwise rotate left a 32-bit integer by 1 bit
rol32 = function(n)
{
return (n>>>31)|(n<<1);
};
var len = blen*8;
// Append padding so length in bits is 448 mod 512
x[len>>5] |= 0x80 << (24-len%32);
// Append length
x[((len+64>>9)<<4)+15] = len;
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Statistics applied to forensic science and the law. It involves statistical issues such as
- exploratory analysis of trace evidence to help investigators focus their search for appropriate control materials
- evaluation of evidence such as DNA, glass fragments and fingerprints left at a crime scene
- sampling problems related to drugs consignments,
and the effective communication of results to a non-statistical audience.
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[[About]]
[[Teaching]]
[[Students]]
[[Research]]
[[Publications]]
[[Professional activities]]
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[[International Conference of Forensic Inference and Statistics, Lund, 12-15 June 2023|https://www.law.lu.se/#!ICFIS]]
[[European Academy of Forensic Science Conference, Stockholm, 30 May-3 June 2022|https://www.eafs2022.eu]]
[[Asymptotic Theory, Robust Statistics, and Quantile Regression: A Workshop Celebrating the Contributions of Stephen Portnoy, Champaign, 16 October 2021|https://stat.illinois.edu/alumni/events/portnoy-workshop]]
[[WiSTEM Panel: Successful Women in STEM, Glasgow, 15 October 2019|https://www.facebook.com/events/769369760158257/]]
[[APTS, Oxford, 2-6 September 2019|https://warwick.ac.uk/fac/sci/statistics/apts/]]
[[Women in Mathematics 2019, Queen Mary University of London, 12 March 2019|https://www.qmul.ac.uk/maths/about-us/wim2019/]]
Invited seminar, Department of Mathematical Sciences, Loughborough University, 29 November 2018
[[WiSTEM Panel Debate: Underrepresentation of Women in STEM Fields, Glasgow, 25 October 2018|https://www.facebook.com/events/1892819247692961/]]
[[Suffrage Science Awards, London, 8 October 2018|https://lms.mrc.ac.uk/ada-lovelace-day-role-models-suffrage-science-awards/]]
[[Explorathon 2018: European Researchers' Night, Bannerman High School, 26 September 2018|https://twitter.com/BannermanHigh/status/1045397866162900993]]
[[FORSTAT Workshop, Linköping, 18-20 September 2018|http://enfsi.eu/agenda/enfsi-forstat-workshop-2018/]]
Data interpretation in forensic evidence, [[European Academy for Law Enforcement Training|https://www.cepol.europa.eu]], Budapest, 10-13 September 2018
[[RSS Conference, Cardiff, 4-7 September 2018|http://www.rss.org.uk/conference2018]]
[[European Academy of Forensic Science Conference, Lyon, 27-31 August 2018 |https://www.eafs2018.eu]]
[[Explorathon 2017: European Researchers' Night, Springburn Academy, 29 September 2017|https://twitter.com/Springburn_sci/status/913695692413120512]]
[[WiSTEM Panel Debate: Is there still gender bias in research? Glasgow 25 January 2018|https://www.facebook.com/events/138248950157486/]]
[[RSS Conference, Glasgow, 4-7 September 2017|http://www.rss.org.uk/conference2017]]
[[YSS Statistical Showcase, London, 30 June 2017|https://events.rss.org.uk/rss/frontend/reg/thome.csp?pageID=37530&eventID=125&eventID=125&CSPCHD=000001000000dNU8SG9mDYMaQOYxvT2xUOVNzwPRgHVX7XPvPB]]
[[SAILR meeting, The Hague, 8-9 May 2017|http://academy.forensicinstitute.nl/training-and-courses/forensic-scientists-and-researchers/sailr/]]
[[RSS Glasgow Local Group and Statistics and the Law Section joint meeting, Glasgow, 27 February 2017|https://sites.google.com/site/rssglasgow/events]]
[[FORSTAT Workshop, Krakow, 13-15 September 2016| http://www.ies.krakow.pl/conferences/forstat2016/]]
[[RSS Conference, Manchester, 5-8 September 2016|http://www.rss.org.uk/conference2016]]
SAILR meeting, Glasgow, 22-24 August 2016.
[[IAFPA 2016, York, 24-27 July 2016|https://sites.google.com/a/york.ac.uk/iafpa-25/home]]; [[IAFPA 25th anniversary|https://www.york.ac.uk/language/news/departmental/2016/iafpa-2016/]]
[[ICFIS 2014, Leiden, 19-22 August 2014|http://icfis2014.org/]]
[[FORSTAT Workshop, Edinburgh, 3-6 June 2014| http://www.ies.krakow.pl/conferences/forstat2014/]]
[[FORSTAT Workshop, Krakow, 1-5 July 2013| http://www.ies.krakow.pl/conferences/forstat2013/]]
Invited seminar, Department of Mathematics and Statistics, University of Lancaster, 31 May 2013
Invited seminar, School of Mathematical Sciences, University of Nottingham, 6 December 2012
[[ERCIM 2012, Oviedo, 1-3 December 2012|http://www.cfe-csda.org/ercim12/]]
[[BBfor2 Short Summer School in Forensic Evidence Evaluation and Validation, Madrid, 18-21 June 2012| http://atvs.ii.uam.es/bbfor2ss/]]
[[FORSTAT Workshop, Edinburgh, 4-8 June 2012| http://www.ies.krakow.pl/conferences/forstat2012/]]
Invited seminar, Institute of Computing Science and Mathematics, University of Stirling, 15 March 2011
Invited seminar, Department of Mathematical Sciences, Brunel University, 4 November 2010
[[TIME Series, Quantile Regression and model choice, Dortmund, 20-21 September 2010|http://www.statistik.tu-dortmund.de/1397.html]]
25th International Workshop on Statistical Modelling, Glasgow, 5-9 July 2010
[[FORSTAT Workshop, Edinburgh, 17-18 June 2010| http://www.ies.krakow.pl/conferences/forstat2010/]]
2010 UIUC Statistics Symposium, Champaign, 29-30 March 2010
RSS General Applications and Statistical Computing Section Meeting, London, 17 March 2010. Topic: Recent developments in quantile regression
Royal Statistical Society Conference, Edinburgh, 7-11 September 2009
[[FORSTAT Workshop, Krakow, 18-19 June 2009| http://www.ies.krakow.pl/conferences/forstat2009/]]
Seventh International Conference on Forensic Inference and Statistics, Lausanne, 20-23 August 2008
[[FORSTAT Workshop, Edinburgh, 13-14 June 2008| http://www.ies.krakow.pl/conferences/forstat2008/]]
- Eleftheriou, D., Piper, T., Thevis, M. , Neocleous, T. A multivariate Bayesian learning approach for improved detection of doping in athletes using urinary steroid profiles (2023). [[Preprint available from arxiv|https://arxiv.org/abs/2310.13980.]]
- Sanchez, J. [[Dean, N.|http://www.stats.gla.ac.uk/~nd29c/]], Neocleous, T. Variable selection for a contaminated mixture of normals classification model. Proceedings of the 5th International Conference on Statistics: Theory and Applications (ICSTA'23), Brunel University, London, United Kingdom – August 03-05, 2023. Paper No.148 [[DOI:10.11159/icsta23.148|https://avestia.com/ICSTA2023_Proceedings/files/paper/ICSTA_148.pdf]]
-Szili B., [[Niu M.|https://www.gla.ac.uk/schools/mathematicsstatistics/staff/muniu/]], Neocleous, T. A structural learning method for graphical models. Proceedings of the 4th International Conference on Statistics: Theory and Applications (ICSTA'22) Prague, Czech Republic – July 28- 30, 2022. Paper No. 113. [[DOI: 10.11159/icsta22.113.|https://avestia.com/ICSTA2022_Proceedings/files/paper/ICSTA_113.pdf]]
- [[Nic Daeid, N.|https://discovery.dundee.ac.uk/en/persons/niamh-nic-daeid]], [[Biedermann, A.|https://applicationspub.unil.ch/interpub/noauth/php/Un/UnPers.php?PerNum=30597&LanCode=8]], [[Champod, C.|https://applicationspub.unil.ch/interpub/noauth/php/Un/UnPers.php?PerNum=860967&LanCode=8]], [[Hutton, J.|https://warwick.ac.uk/fac/sci/statistics/staff/academic-research/hutton/]], Jackson, G., Neocleous, T., [[Spiegelhalter, D.|http://www.statslab.cam.ac.uk/~david/]], Willis, S., Kitchin, D., [[Wilson, A.|https://www.ed.ac.uk/profile/amy-wilson]] The use of Statistics in legal proceedings: A primer for the courts (2020), The Royal Society. [[(electronic access from the Leverhulme Research Centre for Forensic Science)|https://discovery.dundee.ac.uk/en/publications/the-use-of-statistics-in-legal-proceedings-a-primer-for-the-court]]
- Biosa, G., Giurghita, D., [[Alladio, E.|https://www.chimica.unito.it/do/docenti.pl/Show?_id=ealladio#tab-profilo]], [[Vincenti, M.|https://www.chimica.unito.it/do/docenti.pl/Alias?marco.vincenti#tab-profilo]], Neocleous, T. Evaluation of forensic data using logistic regression-based classification methods and an R shiny implementation. Frontiers in Chemistry (2020) 8, 738. [[(electronic access from Frontiers)|https://www.frontiersin.org/articles/10.3389/fchem.2020.00738/full)]]
- Chanialidis, C., Evers, L., Neocleous, T. and [[Nobile, A.|http://maths.york.ac.uk/www/an773]] Efficient Bayesian inference for COM-Poisson regression models. Statistics and Computing (2018) 28, 595–608. [[(electronic access from SC)|http://link.springer.com/article/10.1007/s11222-017-9750-x]]
- [[Alexander, C.|https://www.gla.ac.uk/schools/mathematicsstatistics/staff/craigalexander/]], [[Stuart-Smith, J.|http://www.gla.ac.uk/schools/critical/staff/janestuart-smith/]], Neocleous, T. and Evers, L. Using chain graph models for structural inference with an application to linguistic data (2017). Proceedings of the 32nd International Workshop on Statistical Modelling, Groningen, Netherlands, 3-7 July, 2017. [[(electronic access)|https://iwsm2017.webhosting.rug.nl/IWSM_2017_V1.pdf]]
- Martyna, A., Zadora, G., Neocleous, T., Michalska, A. and [[Dean, N.|http://www.stats.gla.ac.uk/~nd29c/]] Hybrid approach combining chemometrics and likelihood ratio framework for reporting the evidential value of spectra. Analytica Chimica Acta (2016) 931, 34-46. [[(electronic access from ACA)|http://www.sciencedirect.com/science/article/pii/S0003267016306468]]
- Napier, G., [[Nobile, A.|http://maths.york.ac.uk/www/an773]] and Neocleous T. An online application for the classification and evidence evaluation of forensic glass fragments. Chemometrics and Intelligent Laboratory Systems (2015) 146, 418-425. [[(electronic access from CILS)|http://www.sciencedirect.com/science/article/pii/S0169743915001616]]
- Napier, G., Neocleous, T., and [[Nobile, A.|http://maths.york.ac.uk/www/an773]] A composite Bayesian hierarchical model of compositional data with zeros. Journal of Chemometrics (2015) 29, 96-108, doi: 10.1002/cem.2681 [[(electronic access from JC)|http://onlinelibrary.wiley.com/doi/10.1002/cem.2681/abstract]]
- Chanialidis, C., Evers, L., Neocleous, T. and [[Nobile, A.|http://maths.york.ac.uk/www/an773]] Retrospective sampling in MCMC with an application to COM-Poisson regression. Stat (2014) 3, 273-290. [[(electronic access from Stat)|http://onlinelibrary.wiley.com/doi/10.1002/sta4.61/full]]
- Neocleous, T. Aitken, C. and Zadora, G. Transformations for compositional data with zeros with an application to forensic evidence evaluation. Chemometrics and Intelligent Laboratory Systems (2011) 109, 77-85. [[(electronic access from CILS)|http://www.sciencedirect.com/science/article/pii/S0169743911001596]]
- [[Lee, D.|http://www.stats.gla.ac.uk/~duncan/]] and Neocleous, T. Bayesian quantile regression for count data with application to environmental epidemiology. Journal of the Royal Statistical Society: Series C (Applied Statistics) (2010) 59, 905-920. [[(electronic access from JRSSC)|http://www3.interscience.wiley.com/cgi-bin/fulltext/123574453/HTMLSTART]]
- Zadora, G. and Neocleous, T. Evidential value of physicochemical data -- comparison of methods of glass database creation. Journal of Chemometrics (2010) 24, 367-378. [[(electronic access from JC)|http://www3.interscience.wiley.com/cgi-bin/fulltext/123239009/PDFSTART]]
- Dowlman, E., Martin, N., Foy, M., Lochner, T. and Neocleous, T. The prevalence of mixed DNA profiles on fingernail swabs. Science & Justice (2010) 50, 64-71. [[(electronic access from SJ)|http://dx.doi.org/10.1016/j.scijus.2009.03.005]]
- Zadora, G., Neocleous, T. and Aitken, C. A two-level model for evidence evaluation in the presence of zeros. Journal of Forensic Sciences (2010) 55, 371-384. [[(electronic access from JFS)|http://www3.interscience.wiley.com/cgi-bin/fulltext/123279995/PDFSTART]]
- Neocleous, T. and [[Portnoy, S.|http://www.stat.illinois.edu/people/faculty/portnoy.shtml]] Partially linear censored quantile regression. Lifetime Data Analysis (2009) 15, 357-378. [[(electronic access from LDA)|http://springerlink.metapress.com/content/k267283k33g04722/?p=8d32c8831e4242988949a3f67d53222f&pi=0]]
- Zadora, G. and Neocleous, T. Likelihood ratio model for classification of forensic evidence. Analytica Chimica Acta (2009) 642, 266-278. [[(electronic access from ACA)|http://dx.doi.org/10.1016/j.aca.2008.12.013]]
- Zadora, G., Neocleous, T., [[Ramos, D. |http://arantxa.ii.uam.es/~dramos/]], and Aitken, C. Model ilorazu wiarygodności służący do analizy danych fizykochemicznych w przypadku występowania brakujących danych. Book chapter in: Chemometria w nauce i praktyce (2009), ed. D. Zuba and A. Parczewski, published by Wydawnictwo IES, ISBN: 978-83-87425-38-8, 197-208.
- Neocleous, T. and [[Portnoy, S.|http://www.stat.illinois.edu/people/faculty/portnoy.shtml]] On monotonicity of regression quantile functions. Statistics and Probability Letters (2008) 78 (10), 1226-1229. [[(electronic access from SPL)|http://dx.doi.org/10.1016/j.spl.2007.11.024]]
- Neocleous, T., Vanden Branden, K. and [[Portnoy, S.|http://www.stat.illinois.edu/people/faculty/portnoy.shtml]] Correction to Censored Regression Quantiles by S. Portnoy, 98 (2003), 1001-1012. Journal of the American Statistical Association (2006) 101, 860-861. [[(electronic access from JASA)|http://pubs.amstat.org/doi/pdf/10.1198/016214506000000087]]
I am an applied statistician with research interests in the areas of [[quantile regression|http://www.econ.uiuc.edu/~roger/research/rq/rq.html]] and forensic statistics. For a list of publications see the Publications section of this page or follow the links to my [[Google Scholar profile|http://scholar.google.co.uk/citations?user=OZufIvkAAAAJ&hl=en]] or [[ORCID profile|https://orcid.org/0000-0001-7792-4541]].
Quantile regression and its applications
Forensic statistics
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Taweesak Channgam (Ph.D. 2020-, jointly supervised with [[C. Anderson|https://sites.google.com/view/craiganderson/home]]). Models for longitudinal child growth data.
Jorge Sanchez (Ph.D. 2020-, jointly supervised with [[N. Dean|www.gla.ac.uk/schools/mathematicsstatistics/staff/nemadean/]]). Classification using finite mixtures of contaminated normal distributions.
Catherine Holland (Ph.D. 2020-, jointly supervised with [[O.Stoner|https://www.gla.ac.uk/schools/mathematicsstatistics/staff/oliverstoner/]]). Bayesian modelling of compositional data.
Benjámin Szili (Ph.D. 2018-22, jointly supervised with [[M. Niu|https://www.gla.ac.uk/schools/mathematicsstatistics/staff/muniu/]]). [[Structural learning for continuous data using graphical models.|https://theses.gla.ac.uk/83691/]]
Dimitra Eleftheriou (Ph.D. 2017-2022, jointly supervised with L. Evers). [[Bayesian hierarchical modelling for biomarkers with applications to doping detection and prostate cancer prediction.|https://theses.gla.ac.uk/83094/]]
[[Craig Alexander|https://www.gla.ac.uk/schools/mathematicsstatistics/staff/craigalexander/]] (Ph.D. 2014-18, jointly supervised with L. Evers and [[J. Stuart-Smith|http://www.gla.ac.uk/schools/critical/staff/janestuart-smith/]]). [[Multilevel models for the analysis of linguistic data.|https://theses.gla.ac.uk/41168/]]
Charalampos Chanialidis (Ph.D., 2011-15, jointly supervised with L. Evers). [[Bayesian mixture models for count data.|https://theses.gla.ac.uk/6371/]]
Gary Napier (Ph.D., 2010-14, jointly supervised with [[A. Nobile| http://maths.york.ac.uk/www/an773]]). [[A Bayesian hierarchical model of compositional data with zeros: classification and evidence evaluation of forensic glass.|https://theses.gla.ac.uk/5793/]]
Elizabeth Irwin (M.Sc. by research, 2012-13). [[Statistical methods of constructing growth charts.|https://theses.gla.ac.uk/5293/]]
Laura Allison (M.Sc. by research, 2010-11). [[Evaluation of transfer evidence.|https://theses.gla.ac.uk/3188/]]
Gary Napier (M.Sc. by research, 2009-10, jointly supervised with [[S. Senn|http://www.senns.demon.co.uk/home.html]]). [[Modelling obesity in Scotland.|https://theses.gla.ac.uk/2438/]]
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Previously taught courses at the University of Glasgow:
- Generalized Linear Models 3H/M
- Advanced Predictive Models (Online MSc Data Analytics)
- Statistics 1Z Forensic Statistics Case Study
- Biostatistics 3H/M
- Linear Mixed Models 4H/M
- Statistics 2X: Probability Models
- Analysis of Data (3H)
- Applied Modelling 3H: Logistic Regression and Survival Analysis
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