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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
book

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

by Cameron Davidson-Pilon
October 2015
Beginner to intermediate content levelBeginner to intermediate
300 pages
7h 19m
English
Addison-Wesley Professional
Content preview from Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

2. A Little More on PyMC

2.1 Introduction

This chapter introduces more PyMC syntax and design patterns, and ways to think about how to model a system from a Bayesian perspective. It also contains tips and data visualization techniques for assessing goodness of fit for your Bayesian model.

2.1.1 Parent and Child Relationships

To assist with describing Bayesian relationships and to be consistent with PyMC’s documentation, we introduce parent and child variables.

Image Parent variables are variables that influence another variable.

Image Child variables

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Publisher Resources

ISBN: 9780133902914Purchase book