{"version":"1.0","provider_name":"ENSAI","provider_url":"https:\/\/ensai.fr\/en\/","author_name":"Flore Ithor\u00e9-Tilly","author_url":"https:\/\/ensai.fr\/en\/author\/fithore\/","title":"Relaxing the Gaussian assumption in shrinkage and SURE in high dimension \u2013 Annals of Statistics\u00a0 | ENSAI","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"xpbfMPvayr\"><a href=\"https:\/\/ensai.fr\/en\/saumard-annals-of-statistics\/\">Relaxing the Gaussian assumption in shrinkage and SURE in high dimension \u2013 Annals of Statistics\u00a0<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/ensai.fr\/en\/saumard-annals-of-statistics\/embed\/#?secret=xpbfMPvayr\" width=\"600\" height=\"338\" title=\"&#8220;Relaxing the Gaussian assumption in shrinkage and SURE in high dimension \u2013 Annals of Statistics\u00a0&#8221; &#8212; ENSAI\" data-secret=\"xpbfMPvayr\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\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:\/\/ensai.fr\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/ensai.fr\/wp-content\/uploads\/2022\/11\/saumard-annals-statistics.png","thumbnail_width":720,"thumbnail_height":421,"description":"Co-authored by Max Fathi, Larry Goldstein, Gesine Reinert, and Adrien Saumard, associate professor of Statistics at ENSAI and researcher at CREST, the paper \u201cRelaxing the Gaussian assumption in shrinkage and SURE in high dimension\u201d was published in volume 50 of the Annals of Statistics.\u00a0\u00a0"}