{"version":"1.0","provider_name":"ISTE Group","provider_url":"https:\/\/www.istegroup.com\/en","author_name":"Marcio Marim","author_url":"https:\/\/www.istegroup.com\/en\/profile\/marcio-marim\/","title":"Uncertainty Quantification and Stochastic Modeling with Matlab\u00ae - ISTE Group","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"MZ7r9tr5JU\"><a href=\"https:\/\/www.istegroup.com\/en\/book\/uncertainty-quantification-and-stochastic-modeling-with-matlab\/\">Uncertainty Quantification and Stochastic Modeling with Matlab\u00ae<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.istegroup.com\/en\/book\/uncertainty-quantification-and-stochastic-modeling-with-matlab\/embed\/#?secret=MZ7r9tr5JU\" width=\"600\" height=\"338\" title=\"&#8220;Uncertainty Quantification and Stochastic Modeling with Matlab\u00ae&#8221; &#8212; ISTE Group\" data-secret=\"MZ7r9tr5JU\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/www.istegroup.com\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/www.istegroup.com\/wp-content\/uploads\/2018\/01\/doc_xmxvelzcqdmp.jpg","thumbnail_width":980,"thumbnail_height":1500,"description":"Uncertainty Quantification (UQ) is a relatively new research area which describes the methods and approaches used to supply quantitative descriptions of the effects of uncertainty, variability and errors in simulation problems and models. It is rapidly becoming a field of increasing importance, with many real-world applications within statistics, mathematics, probability and engineering, but also within [&hellip;]"}