পদ্ধতির তুলনা করুন

	শ্রেণিবদ্ধ বেইজিয়ান অনুমান	বেয়েশীয় রিগ্রেশন
ক্ষেত্র	বেইসীয়	বেইসীয়
পরিবার	Bayesian methods	Bayesian methods
উদ্ভবের বছর	1972 (Lindley & Smith); consolidated 1995–2013	—
প্রবর্তক	Lindley & Smith; Gelman et al.	—
ধরন	Bayesian multilevel model	Bayesian linear model
মৌলিক উৎস	Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A. & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955	Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A. & Rubin, D. B. (2013). Bayesian Data Analysis (3rd ed.). CRC Press. ISBN: 978-1439840955
অপর নাম	multilevel Bayesian modeling, Bayesian hierarchical model, nested Bayesian model, partial pooling model	bayesian linear regression, probabilistic regression, bayesian regresyon
সম্পর্কিত	6	2
সারসংক্ষেপ	Hierarchical Bayesian inference is a probabilistic modeling framework that organises parameters into levels, placing priors on the group-level parameters and hyperpriors on the parameters governing those priors. It enables partial pooling of information across groups, balancing the extremes of treating each group as independent or merging them into a single estimate.	Bayesian regression is a probabilistic version of linear regression that treats the model parameters as uncertain quantities. Instead of returning a single best-fit estimate, it combines prior knowledge with the observed data to produce a full posterior probability distribution for each parameter, from which credible intervals and predictions are read off.