Best Bayesian Inference
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1
Machine Learning: A Probabilistic Perspective
Kevin Murphy's book offers a probabilistic perspective on machine learning, emphasizing Bayesian methods and variational inference. It provides a rigorous and comprehensive treatment of various machin...
2
Bayesian Time Series Modeling (PyMC/Stan)
Unlike frequentist methods, Bayesian modeling treats model parameters as probability distributions. Using libraries like PyMC or Stan, practitioners build complex hierarchical models (e.g., modeling m...
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