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Paperback/English
USD 52.00
Description
This book consolidates knowledge on regression chain graph models, often referred to as regression graph models, with a particular emphasis on their parameterizations and inference for the analysis of categorical data. It presents regression graphs, their interpretation in terms of sequences of multivariate regressions, interpretable parameterizations for categorical data, and inference and model selection within the frequentist and Bayesian approaches. The aim is to reveal the benefits of thisProbability & Statisticsgeneral
Probability & Statisticsbayesian Analysis
Intelligence (Ai) & Semantics