Bayesian Methods for Hackers

“Bayesian Methods for Hackers” is a comprehensive resource that delves into the application of Bayesian methods in a practical and accessible manner. The document explores the fundamental concepts of Bayesian statistics, providing insights into probabilistic programming and inference techniques. It covers topics such as Markov Chain Monte Carlo (MCMC) methods, Bayesian modeling, and probabilistic graphical models. With a focus on real-world examples and hands-on exercises, this source aims to empower readers to apply Bayesian principles effectively in various data analysis and machine learning scenarios.

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Chapter 6

This chapter of Bayesian Methods for Hackers focuses on the most debated and discussed part of Bayesian methodologies: how to choose an appropriate prior distribution. We also present how the prior's ...

Chapter 3

Bayesian Methods for Hackers

The previous two chapters hid the inner-mechanics of PyMC3, and more generally Markov Chain Monte Carlo (MCMC), from the reader. The reason for including this chapter is three-fold. The first is that ...

Chapter 4

Bayesian Methods for Hackers

This chapter focuses on an idea that is always bouncing around our minds, but is rarely made explicit outside books devoted to statistics. In fact, we've been using this simple idea in every example t...

Chapter 2

Bayesian Methods for Hackers

This chapter introduces more PyMC3 syntax and variables and ways to think about how to model a system from a Bayesian perspective. It also contains tips and data visualization techniques for assessing...

Chapter 5

Bayesian Methods for Hackers

Statisticians can be a sour bunch. Instead of considering their winnings, they only measure how much they have lost. In fact, they consider their wins as negative losses . But what's interesting is ho...

Probabilistic Programming

Bayesian Methods for Hackers

Welcome to Bayesian Methods for Hackers . The full Github repository is available at github/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers . The other chapters can be found on the project'...

Probabilistic Programming and

Bayesian Methods for Hackers

The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chapters of slow, mathematical analysis. The typical text on Bayesian inference involves two to three cha...