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