BayesianInference: Bayesian Inference

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Authors: Sebastian Sosa
Cited by: 0

Abstract

Beta version of 'Bayesian Inference' (BI) using 'python' and BI. It aims to unify the modeling experience by providing an intuitive model-building syntax together with the flexibility of low-level abstraction coding. It also includes pre-built functions for high-level abstraction and supports hardware-accelerated computation for improved scalability, including parallelization, vectorization, and execution on CPU, GPU, or TPU.

Fields of Study & Subjects

Markov Chains and Monte Carlo Methods Gaussian Processes and Bayesian Inference Bayesian Modeling and Causal Inference

Publication details

Publication date
13 January 2026
Document type
Dataset