Introduction to Computational Statistics with PyMC3

Getting started

The What, Why and Whom…
Setting up Your Python Environment
Introduction to the Databricks Environment

Introduction to Bayesian Statistics

Empirical modeling
Probability - II
Distributions, central tendency, and shape parameters
Parameter Estimation
Introduction to the Bayes Theorem
Inference and Decisions
Priors
Bayesian vs. Frequentist Statistics
Introduction to Common Distributions
Sampling Algorithms

Introduction to Monte Carlo Methods

Topics in Model Performance
Introduction to Monte Carlo Methods

PyMC3 for Bayesian Modeling and Inference

Introduction to PyMC3
Centered vs. Non-centered Parameterization
Covid Modeling with PyMC3 - Problem Statement
Covid Modeling with PyMC3

Powered by Jupyter Book

Index

By Srijith Rajamohan, Ph.D.
© Copyright 2021.