@article{JSFS_2019__160_3_136_0, author = {Keribin, Christine}, title = {A note on {BIC} and the slope heuristic}, journal = {Journal de la soci\'et\'e fran\c{c}aise de statistique}, pages = {136--139}, publisher = {Soci\'et\'e fran\c{c}aise de statistique}, volume = {160}, number = {3}, year = {2019}, mrnumber = {4021417}, zbl = {1431.62118}, language = {en}, url = {http://www.numdam.org/item/JSFS_2019__160_3_136_0/} }
TY - JOUR AU - Keribin, Christine TI - A note on BIC and the slope heuristic JO - Journal de la société française de statistique PY - 2019 SP - 136 EP - 139 VL - 160 IS - 3 PB - Société française de statistique UR - http://www.numdam.org/item/JSFS_2019__160_3_136_0/ LA - en ID - JSFS_2019__160_3_136_0 ER -
Keribin, Christine. A note on BIC and the slope heuristic. Journal de la société française de statistique, Tome 160 (2019) no. 3, pp. 136-139. http://www.numdam.org/item/JSFS_2019__160_3_136_0/
[1] Minimal penalties and the slope heuristics: a survey, arXiv preprint arXiv:1901.07277 (2019)
[2] Consistent order estimation and minimal penalties, IEEE Transactions on Information Theory, Volume 59 (2013) no. 2, pp. 1115-1128 | MR | Zbl
[3] Consistent estimation of the order of mixture models, Sankhyā: The Indian Journal of Statistics, Series A (2000), pp. 49-66 | MR | Zbl
[4] A mixture model to characterize genomic alterations of tumors, Journal de la SFdS, Volume 160 (2019) no. 1, pp. 130-148 | Numdam | MR | Zbl
[5] A reference Bayesian test for nested hypotheses and its relationship to the Schwarz criterion, Journal of the american statistical association, Volume 90 (1995) no. 431, pp. 928-934 | MR | Zbl
[6] Une introduction au critère BIC: fondements théoriques et interprétation, Journal de la Société française de statistique, Volume 147 (2006) no. 1, pp. 39-57 | MR | Zbl
[7] Genome Alteration Print (GAP): a tool to visualize and mine complex cancer genomic profiles obtained by SNP arrays, Genome Biol, Volume 10 (2009) no. 11, p. R128-R128
[8] Bayesian model selection in social research, Sociological methodology, Volume 25 (1995), pp. 111-164
[9] Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models, Bioinformatics, Volume 31 (2015) no. 9, pp. 1420-1427
[10] Estimating the dimension of a model, The annals of statistics, Volume 6 (1978) no. 2, pp. 461-464 | MR | Zbl
[11] Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation, Biometrika, Volume 92 (2005) no. 4, pp. 937-950 | MR | Zbl