{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T16:05:40Z","timestamp":1775145940748,"version":"3.50.1"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2016,11,1]],"date-time":"2016-11-01T00:00:00Z","timestamp":1477958400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100001602","name":"SFI","doi-asserted-by":"publisher","award":["10\/RFP\/MTH2877"],"award-info":[{"award-number":["10\/RFP\/MTH2877"]}],"id":[{"id":"10.13039\/501100001602","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001602","name":"SFI","doi-asserted-by":"publisher","award":["10\/CE\/11855 (Lero)"],"award-info":[{"award-number":["10\/CE\/11855 (Lero)"]}],"id":[{"id":"10.13039\/501100001602","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001824","name":"GA\u010cR","doi-asserted-by":"publisher","award":["13-13502S"],"award-info":[{"award-number":["13-13502S"]}],"id":[{"id":"10.13039\/501100001824","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Sciences"],"published-print":{"date-parts":[[2016,11]]},"DOI":"10.1016\/j.ins.2016.07.035","type":"journal-article","created":{"date-parts":[[2016,7,16]],"date-time":"2016-07-16T15:12:04Z","timestamp":1468681924000},"page":"532-547","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":27,"special_numbering":"C","title":["Fully probabilistic design of hierarchical Bayesian models"],"prefix":"10.1016","volume":"369","author":[{"given":"Anthony","family":"Quinn","sequence":"first","affiliation":[]},{"given":"Miroslav","family":"K\u00e1rn\u00fd","sequence":"additional","affiliation":[]},{"given":"Tatiana V.","family":"Guy","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"6","key":"10.1016\/j.ins.2016.07.035_bib0001","doi-asserted-by":"crossref","first-page":"1152","DOI":"10.1214\/aos\/1176342871","article-title":"Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems","volume":"2","author":"Antoniak","year":"1974","journal-title":"Ann. Stat."},{"key":"10.1016\/j.ins.2016.07.035_bib0002","series-title":"Statistical Decision Theory and Bayesian Analysis","author":"Berger","year":"1985"},{"issue":"3","key":"10.1016\/j.ins.2016.07.035_bib0003","doi-asserted-by":"crossref","first-page":"686","DOI":"10.1214\/aos\/1176344689","article-title":"Expected information as expected utility","volume":"7","author":"Bernardo","year":"1979","journal-title":"Ann. Stat."},{"issue":"4","key":"10.1016\/j.ins.2016.07.035_bib0004","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1109\/TIT.1981.1056374","article-title":"Maximum entropy and conditional probability","volume":"27","author":"Campenhout","year":"1981","journal-title":"IEEE Trans. Inf. Theory"},{"key":"10.1016\/j.ins.2016.07.035_bib0005","series-title":"Technical report ic\/2004\/67","article-title":"Survey of Preference Elicitation Methods","author":"Chen","year":"2004"},{"key":"10.1016\/j.ins.2016.07.035_bib0006","series-title":"Elements of Information Theory","author":"Cover","year":"1991"},{"issue":"1","key":"10.1016\/j.ins.2016.07.035_bib0007","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1119\/1.1990764","article-title":"Probability, frequency and reasonable expectation","volume":"14","author":"Cox","year":"1946","journal-title":"American J. Phys."},{"key":"10.1016\/j.ins.2016.07.035_bib0008","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1214\/aos\/1176342360","article-title":"A Bayesian analysis of some nonparametric problems","volume":"1","author":"Ferguson","year":"1973","journal-title":"Ann. Stat."},{"issue":"470","key":"10.1016\/j.ins.2016.07.035_bib0009","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1198\/016214505000000105","article-title":"Statistical methods for eliciting probability distributions","volume":"100","author":"Garthwaite","year":"2005","journal-title":"J. American Stat. Assoc."},{"issue":"6","key":"10.1016\/j.ins.2016.07.035_bib0010","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1109\/TPAMI.1984.4767596","article-title":"Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images","volume":"6","author":"Geman","year":"1984","journal-title":"Pattern Anal. Mach. Intell. IEEE Trans., PAMI-"},{"key":"10.1016\/j.ins.2016.07.035_bib0011","series-title":"An Aristotelian Account of Induction: Creating Something From Nothing","author":"Groarke","year":"2009"},{"issue":"4","key":"10.1016\/j.ins.2016.07.035_bib0012","first-page":"620","article-title":"Information theory and statistical mechanics","volume":"106","author":"Jaynes","year":"1957","journal-title":"Phys. Rev. Ser. II"},{"key":"10.1016\/j.ins.2016.07.035_bib0013","series-title":"Probability Theory: The Logic of Science","author":"Jaynes","year":"2003"},{"key":"10.1016\/j.ins.2016.07.035_bib0014","series-title":"Theory of Probability","author":"Jeffreys","year":"1961"},{"key":"10.1016\/j.ins.2016.07.035_bib0015","series-title":"Theory of Probability","author":"Jeffreys","year":"1998"},{"key":"10.1016\/j.ins.2016.07.035_sbref0016","series-title":"Proceedings of the 3rd International Workshop on Scalable Decision Making, ECML\/PKDD 2013","article-title":"On approximate fully probabilistic design of decision making strategies","author":"K\u00e1rn\u00fd","year":"2013"},{"key":"10.1016\/j.ins.2016.07.035_bib0017","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.ins.2014.01.048","article-title":"Approximate Bayesian recursive estimation","volume":"289","author":"K\u00e1rn\u00fd","year":"2014","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ins.2016.07.035_bib0018","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.ins.2015.07.038","article-title":"Recursive estimation of high-order Markov chains: approximation by finite mixtures","volume":"326","author":"K\u00e1rn\u00fd","year":"2016","journal-title":"Inf. Sci."},{"issue":"4","key":"10.1016\/j.ins.2016.07.035_bib0020","doi-asserted-by":"crossref","first-page":"503","DOI":"10.4310\/SII.2014.v7.n4.a7","article-title":"Fully probabilistic knowledge expression and incorporation","volume":"7","author":"K\u00e1rn\u00fd","year":"2014","journal-title":"Stat. Interface"},{"key":"10.1016\/j.ins.2016.07.035_bib0021","series-title":"Optimized Bayesian Dynamic Advising: Theory and Algorithms","author":"K\u00e1rn\u00fd","year":"2006"},{"key":"10.1016\/j.ins.2016.07.035_bib0022","series-title":"Proceedings of the 49th IEEE Conference on Decision and Control","article-title":"Preference elicitation in fully probabilistic design of decision strategies","author":"K\u00e1rn\u00fd","year":"2010"},{"key":"10.1016\/j.ins.2016.07.035_bib0023","series-title":"Decision Making with Imperfect Decision Makers","article-title":"On support of imperfect Bayesian participants","volume":"28","author":"K\u00e1rn\u00fd","year":"2012"},{"key":"10.1016\/j.ins.2016.07.035_bib0024","unstructured":"M. K\u00e1rn\u00fd, R. Herzallah, Scalable harmonization of complex networks with local adaptive controllers, IEEE Trans. Syst. Man Cybern.(11 pages). DOI 10.1109\/TSMC.2015.2502427."},{"issue":"1","key":"10.1016\/j.ins.2016.07.035_bib0025","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.ins.2011.09.018","article-title":"Axiomatisation of fully probabilistic design","volume":"186","author":"K\u00e1rn\u00fd","year":"2012","journal-title":"Inf. Sci."},{"key":"10.1016\/j.ins.2016.07.035_sbref0025","series-title":"Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics","first-page":"229","article-title":"Merging of data knowledge in Bayesian estimation","author":"Krac\u00edk","year":"2005"},{"key":"10.1016\/j.ins.2016.07.035_bib0027","series-title":"Proceedings of 2nd Berkeley Symposium","first-page":"481","article-title":"Nonlinear programming","author":"Kuhn","year":"1951"},{"key":"10.1016\/j.ins.2016.07.035_bib0028","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1214\/aoms\/1177729694","article-title":"On information and sufficiency","volume":"22","author":"Kullback","year":"1951","journal-title":"Ann. Math. Stat."},{"key":"10.1016\/j.ins.2016.07.035_bib0029","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1007\/BF01586095","article-title":"On uniqueness of Kuhn-Tucker multipliers in nonlinear programming","volume":"32","author":"Kyparisis","year":"1985","journal-title":"Math. Program."},{"key":"10.1016\/j.ins.2016.07.035_bib0030","series-title":"Theorie Analytique des Probabilit\u00e9s","author":"Laplace","year":"1812"},{"key":"10.1016\/j.ins.2016.07.035_bib0031","series-title":"Information Theory, Inference, and Learning Algorithms","author":"MacKay","year":"2003"},{"issue":"1","key":"10.1016\/j.ins.2016.07.035_bib0032","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1214\/088342304000000017","article-title":"Nonparametric Bayesian data analysis","volume":"19","author":"M\u00fcller","year":"2004","journal-title":"Stat. Sci."},{"key":"10.1016\/j.ins.2016.07.035_bib0033","series-title":"Trends and Progress in System Identification","first-page":"239","article-title":"Bayesian system identification","author":"Peterka","year":"1981"},{"issue":"10","key":"10.1016\/j.ins.2016.07.035_bib0034","doi-asserted-by":"crossref","first-page":"827","DOI":"10.1002\/acs.949","article-title":"Learning for nonstationary Dirichlet processes","volume":"21","author":"Quinn","year":"2007","journal-title":"Int. J. Adapt. Control Signal Process."},{"key":"10.1016\/j.ins.2016.07.035_bib0035","series-title":"Measure Theory and Integration","author":"Rao","year":"1987"},{"key":"10.1016\/j.ins.2016.07.035_bib0036","series-title":"Foundations of Statistics","author":"Savage","year":"1954"},{"key":"10.1016\/j.ins.2016.07.035_bib0037","first-page":"159","article-title":"On supra-Bayesian weighted combination of available data determined by Kerridge inaccuracy and entropy","volume":"22","author":"Se\u010dk\u00e1rov\u00e1","year":"2013","journal-title":"Pliska Stud. Math. Bulgar."},{"issue":"1","key":"10.1016\/j.ins.2016.07.035_bib0038","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1109\/TIT.1980.1056144","article-title":"Axiomatic derivation of the principle of maximum entropy & the principle of minimum cross-entropy","volume":"26","author":"Shore","year":"1980","journal-title":"IEEE\u00a0Trans. Inf. Theory"},{"key":"10.1016\/j.ins.2016.07.035_bib0039","first-page":"646","article-title":"Maximum entropy method in image processing","volume":"131","author":"Skilling","year":"1984","journal-title":"Proc. IEE"},{"key":"10.1016\/j.ins.2016.07.035_bib0040","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.1057\/palgrave.jors.2602068","article-title":"A survey of simulated annealing as a tool for single and multiobjective optimization","volume":"57","author":"Suman","year":"2005","journal-title":"J. Oper. Res. Soc."},{"issue":"1","key":"10.1016\/j.ins.2016.07.035_bib0041","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/0304-4076(95)01768-2","article-title":"Models, prior information, and Bayesian analysis","volume":"75","author":"Zellner","year":"1996","journal-title":"J. Economet."}],"container-title":["Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025516305163?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025516305163?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2018,9,10]],"date-time":"2018-09-10T09:51:36Z","timestamp":1536573096000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0020025516305163"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11]]},"references-count":40,"alternative-id":["S0020025516305163"],"URL":"https:\/\/doi.org\/10.1016\/j.ins.2016.07.035","relation":{},"ISSN":["0020-0255"],"issn-type":[{"value":"0020-0255","type":"print"}],"subject":[],"published":{"date-parts":[[2016,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Fully probabilistic design of hierarchical Bayesian models","name":"articletitle","label":"Article Title"},{"value":"Information Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ins.2016.07.035","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2016 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}