Statistical theory and methods
Results
Probability and Statistics for Data Science
Probability and Statistics for Data Science
Introduction to Probability and Statistics for Data Science
Introduction to Probability and Statistics for Data Science
Dependence Models via Hierarchical Structures
Brownian Motion, the Fredholm Determinant, and Time Series Analysis
Information Theory
Active Statistics
Generalized Additive Models for Location, Scale and Shape
Time Series for Data Scientists
The Conway–Maxwell–Poisson Distribution
The Conway–Maxwell–Poisson Distribution
Exponential Families in Theory and Practice
Exponential Families in Theory and Practice
Principles of Statistical Analysis
Principles of Statistical Analysis
Statistical Hypothesis Testing in Context
Statistical Hypothesis Testing in Context
