পদ্ধতির তুলনা করুন

	বহুস্তরীয় বায়েসিয়ান ইনফারেন্স	শ্রেণিবদ্ধ বেইজিয়ান অনুমান
ক্ষেত্র	বেইসীয়	বেইসীয়
পরিবার	Bayesian methods	Bayesian methods
উদ্ভবের বছর	1980s–2000s	1972 (Lindley & Smith); consolidated 1995–2013
প্রবর্তক	Gelman, Hill, Raudenbush, Bryk	Lindley & Smith; Gelman et al.
ধরন	Bayesian hierarchical model	Bayesian multilevel model
মৌলিক উৎস	Gelman, A., & Hill, J. (2007). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press. ISBN: 978-0521686891	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	Bayesian multilevel model, Bayesian hierarchical model, Bayesian mixed-effects model, Bayesian random-effects model	multilevel Bayesian modeling, Bayesian hierarchical model, nested Bayesian model, partial pooling model
সম্পর্কিত	6	6
সারসংক্ষেপ	Multilevel Bayesian inference combines Bayesian probability with hierarchical data structures, treating group-level parameters as drawn from a common population distribution. It simultaneously estimates unit-level effects and the hyperparameters governing their variation, propagating full uncertainty through every level of the hierarchy via posterior sampling.	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.