{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T00:22:42Z","timestamp":1762042962226,"version":"build-2065373602"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Rel."],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1109\/tr.2021.3117189","type":"journal-article","created":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T20:32:36Z","timestamp":1635280356000},"page":"111-126","source":"Crossref","is-referenced-by-count":5,"title":["Robust Inference Based On the Complementary Hamiltonian Monte Carlo"],"prefix":"10.1109","volume":"71","author":[{"given":"Xiaopeng","family":"Xu","sequence":"first","affiliation":[{"name":"Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8060-0396","authenticated-orcid":false,"given":"Chuancai","family":"Liu","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6561-3631","authenticated-orcid":false,"given":"Hongji","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computing and Mathematical Sciences, University of Leicester, Leicester, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/1748006x19896740"},{"key":"ref2","first-page":"71","volume-title":"Handbook of Software Reliability Engineering","author":"Lyu","year":"1996"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/b97414"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2005.11.037"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.23940\/ijpe.20.11.p1.16851697"},{"volume-title":"Machine Learning: A Probabilistic Perspective","year":"2012","author":"Murphy","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-45528-0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23940\/ijpe.20.01.p5.3747"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2011.03.009"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1201\/b13613","volume-title":"The BUGS Book, A Practical Introduction to Bayesian Analysis","author":"Lunn","year":"2012"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/9781119287995"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2010.11.018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1972.tb00899.x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2020.3045144"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.55"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v076.i01"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1023\/A:1008929526011","article-title":"WinBUGS  a Bayesian modelling framework: Concepts, structure, and extensibility","volume":"10","author":"Lunn","year":"2000","journal-title":"Stat. Comput."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v035.i04"},{"key":"ref19","first-page":"1","volume-title":"Doing Bayesian Data Analysis: A Tutorial With R, JAGS, and Stan","author":"Kruschke","year":"2014"},{"key":"ref20","first-page":"1","volume-title":"Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference","author":"Davidson-Pilon","year":"2015"},{"key":"ref21","first-page":"1","volume-title":"The Mathematica Book","author":"Wolfram","year":"1999"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.2307\/2684817"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2009.2026811"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.1996.10474703"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1804\/1\/012073"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/0370-2693(87)91197-X"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41524-018-0137-0"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/asz013"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3150\/12-BEJ414"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1103\/physrevd.38.1278"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1186\/s13634-020-00675-6"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2638586"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2010.00765.x"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198515357.001.0001"},{"volume-title":"Information Theory, Inference and Learning Algorithms","year":"2003","author":"Mackay","key":"ref35"},{"volume-title":"Handbook of Markov Chain Monte Carlo","year":"2011","author":"Gelman","key":"ref36"},{"key":"ref37","first-page":"6","article-title":"Hamiltonian Monte Carlo without detailed balance","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Dickstein"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198825562.001.0001"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2005.858093"},{"article-title":"JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling","volume-title":"Proc. 3rd Int. Workshop Distrib. Statistical Comput.","author":"Plummer","key":"ref40"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1201\/9781420008944"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-77950-8"},{"key":"ref43","first-page":"9","volume-title":"Handbook of Survival Analysis","author":"Klein","year":"2013"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2019.2957710"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-31245-3"}],"container-title":["IEEE Transactions on Reliability"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/24\/9725327\/09585691.pdf?arnumber=9585691","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:06:04Z","timestamp":1705014364000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9585691\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":45,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tr.2021.3117189","relation":{},"ISSN":["0018-9529","1558-1721"],"issn-type":[{"type":"print","value":"0018-9529"},{"type":"electronic","value":"1558-1721"}],"subject":[],"published":{"date-parts":[[2022,3]]}}}