Applied Probabilistic Modeling

Preface

Part 1: Probability Theory (For Scientists and Engineers)

Chapter 1: Probability Distribution On Finite Spaces

Chapter 2: Spaces

Chapter 3: Probability Distribution on General Spaces

Chapter 4: Interpretations of Probability

Chapter 5: Expectation Values

Chapter 6: Probability Density Functions

Chapter 7: Transforming Probability Distributions

Chapter 8: Product Spaces

Chapter 9: Sampling and the Monte Carlo Method

Chapter 10: Conditional Probability Theory

Chapter 11. Probability Theory on Product Spaces

Chapter 12: Useful Families of Probability Density Functions