Udi E. Makov

Overview

Udi E. Makov is a statistician at the University of Haifa (Department of Statistics). He is known for work on Bayesian computation and conjugate hierarchical models, including co-authoring the foundational paper on conjugate likelihood distributions for Gibbs sampling.

Key Contributions

• George-Makov-Smith (1993): Co-developed the theory of conjugate likelihood distributions for exponential-family hierarchical models — establishing log-concavity (Theorem 3.3) and the $p\geq 2$ properness condition that enable exact Gibbs sampling via Gilks-Wild adaptive rejection sampling.

Related

• Bayesian Hierarchical Model
• Gibbs Sampler
• Edward I. George
• A.F.M. Smith
• George-Makov-Smith (1993)