{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T22:16:36Z","timestamp":1776896196232,"version":"3.51.2"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000015","name":"Office of Advanced Scientific Computing Research, U.S. Department of Energy","doi-asserted-by":"publisher","award":["DE-SC0010723"],"award-info":[{"award-number":["DE-SC0010723"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DMS-1515712"],"award-info":[{"award-number":["DMS-1515712"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000181","name":"Air Force Office of Scientific Research","doi-asserted-by":"publisher","award":["FA-9550-18-1-0214"],"award-info":[{"award-number":["FA-9550-18-1-0214"]}],"id":[{"id":"10.13039\/100000181","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency (DARPA) EQUiPS Program","doi-asserted-by":"publisher","award":["W911NF1520122"],"award-info":[{"award-number":["W911NF1520122"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Inform. Theory"],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1109\/tit.2020.2977067","type":"journal-article","created":{"date-parts":[[2020,2,28]],"date-time":"2020-02-28T23:11:18Z","timestamp":1582931478000},"page":"3079-3097","source":"Crossref","is-referenced-by-count":17,"title":["How Biased Is Your Model? Concentration Inequalities, Information and Model Bias"],"prefix":"10.1109","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9270-1036","authenticated-orcid":false,"given":"Konstantinos","family":"Gourgoulias","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Markos A.","family":"Katsoulakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luc","family":"Rey-Bellet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6776-2267","authenticated-orcid":false,"given":"Jie","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-21736-9","author":"wasserman","year":"2004","journal-title":"All of Statistics A Concise Course in Statistical Inference"},{"key":"ref38","article-title":"Uncertainty quantification for Markov processes via variational principles and functional inequalities","author":"birrell","year":"2018","journal-title":"arXiv 1812 05174"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1090\/surv\/089"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1561\/0100000064"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199535255.001.0001"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3150\/10-BEJ335"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1137\/17M1143344"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1561\/2200000048"},{"key":"ref35","author":"massart","year":"2007","journal-title":"Concentration Inequalities and Model Selection"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03311-7"},{"key":"ref28","author":"liu","year":"2001","journal-title":"Monte Carlo Strategies in Scientific Computing"},{"key":"ref27","article-title":"Sensitivity analysis for rare events based on R&#x00E9;nyi divergence","author":"dupuis","year":"2019","journal-title":"Ann Appl Probab"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1142\/p579"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1137\/1.9781611973228","author":"smith","year":"2013","journal-title":"Uncertainty Quantification Theory Implementation and Applications"},{"key":"ref1","article-title":"Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: Version 5.0 user&#x2019;s manual","author":"eldred","year":"2009"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1137\/15M1025645"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1287\/moor.2015.0776"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbankfin.2012.04.013"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/9781118165904"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1080\/14697688.2013.822989"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1137\/130939730"},{"key":"ref25","author":"simon","year":"2014","journal-title":"The Statistical Mechanics of Lattice Gases"},{"key":"ref50","author":"mackay","year":"2003","journal-title":"Information Theory Inference and Learning Algorithms"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1088\/0965-0393\/18\/1\/015003"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2016.03.021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1063\/1.4818534"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1063\/1.3663709"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1137\/120864155"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1090\/crmm\/025"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780199296590.001.0001","author":"atkinson","year":"2007","journal-title":"Optimum Experimental Designs with SAS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1007009107"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1105174108"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1015814108"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1063\/1.4789612"},{"key":"ref18","author":"cover","year":"2006","journal-title":"Elements of Information Theory"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2017.02.020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1051\/m2an\/2012038"},{"key":"ref3","author":"saltelli","year":"2008","journal-title":"Global Sensitivity Analysis The Primer"},{"key":"ref6","author":"tsybakov","year":"2008","journal-title":"Introduction to Nonparametric Estimation"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23395-6"},{"key":"ref8","author":"burnham","year":"2003","journal-title":"Model Selection and Multimodel Inference A Practical Information-theoretic Approach"},{"key":"ref7","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref49","author":"papoulis","year":"2002","journal-title":"Probability random variables and stochastic processes"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.81.060104"},{"key":"ref46","author":"wasserman","year":"2006","journal-title":"All of Nonparametric Statistics"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781107359949.008"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2007.06.208"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1214\/EJP.v14-690"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1963.10500830"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1006\/jfan.1998.3326"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1137\/080740647"},{"key":"ref43","author":"villani","year":"2008","journal-title":"Optimal Transport Old and New"}],"container-title":["IEEE Transactions on Information Theory"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/18\/9075318\/9018189-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/18\/9075318\/09018189.pdf?arnumber=9018189","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T09:37:28Z","timestamp":1722505048000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9018189\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":52,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tit.2020.2977067","relation":{},"ISSN":["0018-9448","1557-9654"],"issn-type":[{"value":"0018-9448","type":"print"},{"value":"1557-9654","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5]]}}}