Probayes Library

Explore the Probayes Library, a curated collection of essential books on Bayesian statistics, machine learning, and probabilistic programming. Dive into key titles from influential authors to master data science and AI.

Learning Bayesian networks Cover
Book

Learning Bayesian networks

 

No summary available.
Bayesian artificial intelligence Cover
Book

Bayesian artificial intelligence

 

No summary available.
Algebra of Probable Inference Cover
Book

Algebra of Probable Inference

 

No summary available.
Bayesian networks and decision graphs Cover
Book

Bayesian networks and decision graphs

 

No summary available.
Graphical belief modeling Cover
Book

Graphical belief modeling

 

No summary available.
Graphical Models Cover
Book

Graphical Models

 

No summary available.
Bayesian forecasting and dynamic models Cover
Book

Bayesian forecasting and dynamic models

 

No summary available.
Bayesian Reasoning in Data Analysis Cover
Book

Bayesian Reasoning in Data Analysis

 

No summary available.
Introduction to Bayesian Statistics Cover
Book

Introduction to Bayesian Statistics

 

No summary available.
Expert systems and probabilistic network models Cover
Book

Expert systems and probabilistic network models

 

No summary available.
Monte Carlo statistical methods Cover
Book

Monte Carlo statistical methods

 

No summary available.
Bayesian data analysis Cover
Book

Bayesian data analysis

 

No summary available.
Causality Cover
Book

Causality

 

No summary available.
Probability and computing Cover
Book

Probability and computing

 

No summary available.
Probability Theory Cover
Book

Probability Theory

 

No summary available.
Bayesian Methods Cover
Book

Bayesian Methods

 

No summary available.
The pleasures of probability Cover
Book

The pleasures of probability

 

No summary available.
Understanding Probability Cover
Book

Understanding Probability

 

No summary available.
Bayesian Methods Cover
Book

Bayesian Methods

 

No summary available.