2014/07/29 by Nanny Wermuth, D. R. Cox, Wermuth, Nanny +1
Computer Science · #62XX #AI-based Problem Solving and Planning #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Methodology (stat.ME)
paper · pdf · doi:10.48550/arxiv.1407.7783
openalex publication_date 2014/07/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We describe how graphical Markov models started to emerge in the last 40 years, based on three essential concepts that had been developed independently more than a century ago. Sequences of joint or single regressions and their regression graphs are singled out as being best suited for analyzing longitudinal data and for tracing developmental pathways. Interpretations are illustrated using two sets of data and some of the more recent, important results for sequences of regressions are summarized.