Scalable Monte Carlo for Bayesian Learning

Brownian Motion, the Fredholm Determinant, and Time Series Analysis

The Conway–Maxwell–Poisson Distribution

Stable Lévy Processes via Lamperti-Type Representations

Computer Age Statistical Inference, Student Edition

The Skew-Normal and Related Families

Automation of Logic

Statistics for Biological Networks

Likelihood and its Extensions

Nature-Inspired Computing

Stochastic Calculus

Meta-analysis Using R

Permutation Tests for Complex Data

Adaptive Learning Opportunities

Data Science and Machine Learning for Non-Programmers

Everything Is Predictable

Internet Governance