{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T04:15:00Z","timestamp":1665375300055},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2016,12,19]],"date-time":"2016-12-19T00:00:00Z","timestamp":1482105600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["New Gener. Comput."],"published-print":{"date-parts":[[2017,1]]},"DOI":"10.1007\/s00354-016-0002-y","type":"journal-article","created":{"date-parts":[[2016,12,19]],"date-time":"2016-12-19T08:55:05Z","timestamp":1482137705000},"page":"5-27","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["On Model Selection, Bayesian Networks, and the Fisher Information Integral"],"prefix":"10.1007","volume":"35","author":[{"given":"Yuan","family":"Zou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teemu","family":"Roos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,12,19]]},"reference":[{"issue":"1","key":"2_CR1","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/0378-3758(94)90153-8","volume":"41","author":"BS Clarke","year":"1994","unstructured":"Clarke, B.S., Barron, A.R.: Jeffreys prior is asymptotically least favorable under entropy risk. J. Stat. Plan. Inference 41(1), 37\u201361 (1994)","journal-title":"J. Stat. Plan. Inference"},{"key":"2_CR2","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4643.001.0001","volume-title":"The minimum description length principle","author":"PD Gr\u00fcnwald","year":"2007","unstructured":"Gr\u00fcnwald, P.D.: The minimum description length principle. MIT Press, Cambridge (2007)"},{"issue":"455","key":"2_CR3","doi-asserted-by":"crossref","first-page":"1122","DOI":"10.1198\/016214501753208780","volume":"96","author":"C Han","year":"2001","unstructured":"Han, C., Carlin, B.P.: Markov chain Monte Carlo methods for computing Bayes factors. J. Am. Stat. Assoc. 96(455), 1122\u20131132 (2001)","journal-title":"J. Am. Stat. Assoc."},{"issue":"1007","key":"2_CR4","first-page":"453","volume":"186","author":"H Jeffreys","year":"1946","unstructured":"Jeffreys, H.: An invariant form for the prior probability in estimation problems. J. R. Stat. Soc. A. 186(1007), 453\u2013461 (1946)","journal-title":"J. R. Stat. Soc. A."},{"issue":"430","key":"2_CR5","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1080\/01621459.1995.10476572","volume":"90","author":"RE Kass","year":"1995","unstructured":"Kass, R.E., Raftery, A.E.: Bayes factors. J. Am. Stat. Assoc. 90(430), 773\u2013795 (1995)","journal-title":"J. Am. Stat. Assoc."},{"issue":"6","key":"2_CR6","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.ipl.2007.04.003","volume":"103","author":"P Kontkanen","year":"2007","unstructured":"Kontkanen, P., Myllym\u00e4ki, P.: A linear-time algorithm for computing the multinomial stochastic complexity. Inf. Process. Lett. 103(6), 227\u2013233 (2007)","journal-title":"Inf. Process. Lett."},{"key":"2_CR7","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1023\/A:1008984400380","volume":"10","author":"P Kontkanen","year":"2000","unstructured":"Kontkanen, P., Myllym\u00e4ki, P., Silander, T., Tirri, H., Gr\u00fcnwald, P.: On predictive distributions and Bayesian networks. Stat. Comput. 10, 39\u201354 (2000)","journal-title":"Stat. Comput."},{"issue":"2","key":"2_CR8","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1109\/TIT.1981.1056331","volume":"27","author":"R Krichevsky","year":"1981","unstructured":"Krichevsky, R., Trofimov, V.: The performance of universal coding. IEEE Trans. Inf. Theory 27(2), 199\u2013207 (1981)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"9","key":"2_CR9","doi-asserted-by":"crossref","first-page":"1763","DOI":"10.1162\/0899766041336378","volume":"16","author":"D Navarro","year":"2004","unstructured":"Navarro, D.: A note on the applied use of MDL approximations. Neural Comput. 16(9), 1763\u20131768 (2004)","journal-title":"Neural Comput."},{"key":"2_CR10","unstructured":"Rasmussen, C. E., Ghahramani, Z.: \u201cOccam\u2019s razor\u201d. In: Adv. Neural Inf. Process. Syst. (Leen, T., Dietterich T., Tresp, V.), pp. 294\u2013300 (2001)"},{"issue":"1","key":"2_CR11","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1109\/18.481776","volume":"42","author":"J Rissanen","year":"1996","unstructured":"Rissanen, J.: Fisher information and stochastic complexity. IEEE Trans. Inf. Theory 42(1), 40\u201347 (1996)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"2_CR12","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-68812-1","volume-title":"Information and complexity in statistical modeling","author":"J Rissanen","year":"2007","unstructured":"Rissanen, J.: Information and complexity in statistical modeling. Springer, New York (2007)"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Roos, T.: Monte Carlo estimation of minimax regret with an application to MDL model selection. In: Proc. IEEE Information Theory Workshop, IEEE Press, pp. 284\u2013288 (2008)","DOI":"10.1109\/ITW.2008.4578670"},{"key":"2_CR14","unstructured":"Roos, T., Rissanen, J: On sequentially normalized maximum likelihood models. In: Proc. Workshop on Information Theoretic Methods in Science and Engineering (WITMSE-08) (Rissanen, J., Liski, E., Tabus, I., Myllym\u00e4ki, P., Kontoyiannis, I., Heikkonen, J.), Tampere, Finland (2008)"},{"key":"2_CR15","doi-asserted-by":"crossref","unstructured":"Roos, T., Zou, Y.: Keep it simple stupid\u2014on the effect of lower-order terms in BIC-like criteria. In: Information Theory and Applications Workshop (ITA), IEEE Press, pp. 1\u20137 (2013)","DOI":"10.1109\/ITA.2013.6502972"},{"key":"2_CR16","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G Schwarz","year":"1978","unstructured":"Schwarz, G.: Estimating the dimension of a model. Ann. Stat. 6, 461\u2013464 (1978)","journal-title":"Ann. Stat."},{"issue":"3","key":"2_CR17","first-page":"3","volume":"23","author":"YM Shtarkov","year":"1987","unstructured":"Shtarkov, Y.M.: Universal sequential coding of single messages. Prob. Inf. Transm. 23(3), 3\u201317 (1987)","journal-title":"Prob. Inf. Transm."},{"key":"2_CR18","unstructured":"Silander, T., Roos, T., Kontkanen, P., Myllym\u00e4ki, P.: Factorized normalized maximum likelihood criterion for learning Bayesian network structures. In: Proc. 4th European Workshop on Probabilistic Graphical Models (PGM-08) (Jaeger, M., Nielsen, T. D.), pp. 257\u2013272 (2008)"},{"issue":"5","key":"2_CR19","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1016\/j.ijar.2010.01.012","volume":"51","author":"T Silander","year":"2010","unstructured":"Silander, T., Roos, T., Myllym\u00e4ki, P.: Learning locally minimax optimal Bayesian networks. Int. J. Approx. Reason 51(5), 544\u2013557 (2010)","journal-title":"Int. J. Approx. Reason"},{"key":"2_CR20","unstructured":"Ueno, M.: Robust learning Bayesian networks for prior belief. In: Proc. Uncertainty in Artificial Intelligence (UAI-2011) (Cozman, F.G., Pfeffer, A.), Barcelona, Spain, pp. 698\u2013707 (2011)"},{"issue":"2","key":"2_CR21","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1109\/18.825803","volume":"46","author":"Q Xie","year":"2000","unstructured":"Xie, Q., Barron, A.R.: Asymptotic minimax regret for data compression, gambling, and prediction. IEEE Trans. Inf. Theory 46(2), 431\u2013445 (2000)","journal-title":"IEEE Trans. Inf. Theory"}],"container-title":["New Generation Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00354-016-0002-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00354-016-0002-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00354-016-0002-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,16]],"date-time":"2019-09-16T18:11:02Z","timestamp":1568657462000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00354-016-0002-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,19]]},"references-count":21,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,1]]}},"alternative-id":["2"],"URL":"https:\/\/doi.org\/10.1007\/s00354-016-0002-y","relation":{},"ISSN":["0288-3635","1882-7055"],"issn-type":[{"value":"0288-3635","type":"print"},{"value":"1882-7055","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,19]]}}}