Contents

Probabilistic Programming

using Pyro, Stan, PyMC

Part I

Foundations

  1. Probability Theory

  2. Estimation Theory

  3. Decision Theory

  4. Bayesian Analysis

  5. Computational Bayesian Analysis

Part II

Small-scale Bayesian Analysis

  1. Chapter-01:

Part III

Large-scale bayesians problems

  1. Chapter-01:

Part IV

Formalising new bayesians data analysis problem

  1. Chapter-01:

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Foreword