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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
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612-822-4611
Advanced Bayesian Econometrics with Python: Deep Learning Priors, Variational Inference, Gaussian Processes, and Scalable MCMC for High-Dimensional Ec

Advanced Bayesian Econometrics with Python: Deep Learning Priors, Variational Inference, Gaussian Processes, and Scalable MCMC for High-Dimensional Ec

Paperback

EconomicsProgramming

ISBN13: 9798199651592
Publisher: Independently Published
Published: Jun 2 2026
Pages: 392
Weight: 1.04
Height: 0.97 Width: 6.00 Depth: 9.00
Language: English
Reactive Publishing

This book provides a comprehensive and practical treatment of advanced Bayesian econometrics using Python. It bridges modern machine learning techniques with traditional econometric modeling, offering detailed guidance on implementing state-of-the-art Bayesian methods for complex economic problems.

Also from

Schwartz, Alice

Also in

Economics