GitHub

hereticknave/Probabilistic-Programming-and-Bayesian-Methods-with-python

Bayesian Methods for Hackers Using Python and PyMC The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chapters of slow, mathematical analysis. The typical ...
GitHub

RNAer/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 ...
scienceopen.com

Template-Based Static Posterior Inference for Bayesian Probabilistic Programming

In Bayesian probabilistic programming, a central problem is to estimate the normalised posterior distribution (NPD) of a probabilistic program with conditioning. Prominent approximate approaches to ...
IEEE

Proscriptive Bayesian programming application for collision avoidance

Abstract: Evolve safely in an unchanged environment and possibly following an optimal trajectory is one big challenge presented by situated robotics research field. Collision avoidance is a basic ...
Scientific Research Publishing

Davidson-Pilon, C. (2015). Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference Using Python and PyMC. Boston, MA: Addison-Wesley Professional.

ABSTRACT: Recent changes in precipitation regime in South-East Asia are a subject of ongoing discussion. In this article, for the first time, evidence of a precipitation regime shift during the ...