Bayesian Neural Networks via MCMC: A Python-Based Tutorial-Reference-Cited by-同舟云学术

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Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Published:2024 Issue: Volume:12 Page:70519-70549
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chandra Rohitash¹^ORCID,Simmons Joshua²^ORCID

Affiliation:

1. Transitional Artificial Intelligence Research Group, School of Mathematics and Statistics, UNSW Sydney, Sydney, NSW, Australia

2. ARC Training Centre in Data Analytics for Resources and Environments, The University of Sydney, Camperdown, NSW, Australia

Funder

Australian Research Council Industrial Transformation Training Centre (ITTC) in Data Analytics for Resources and Environments

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10530647.pdf?arnumber=10530647

Reference152 articles.

1. Nonparametric Applications of Bayesian Inference

2. Bayesian Inference in Econometric Models Using Monte Carlo Integration

3. Bayesian Inference in Statistical Analysis

4. Multicore Parallel Tempering Bayeslands for Basin and Landscape Evolution

5. Bayesreef: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics

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2. Deep learning framework with Bayesian data imputation for modelling and forecasting groundwater levels;Environmental Modelling & Software;2024-07

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