Markov Chains: Theory and Applications: Volume 52

Modeling and Analysis of Longitudinal Data: Volume 50

Artificial Intelligence: Volume 49

Deep Learning: Volume 48

Advancements in Bayesian Methods and Implementations: Volume 47

Geometry and Statistics: Volume 46

Information Geometry: Volume 45

Data Science: Theory and Applications: Volume 44

Principles and Methods for Data Science: Volume 43

Financial, Macro and Micro Econometrics Using R: Volume 42

Conceptual Econometrics Using R: Volume 41

Disease Modelling and Public Health, Part B: Volume 37

Asymptotische Stochastik: Eine Einführung mit Blick auf die Statistik

Scalable Monte Carlo for Bayesian Learning

Efficiency and Productivity Analysis

Asymptotics for Fractional Processes

Stochastic Analysis

Theory of Stochastic Integrals

Deterministic and Stochastic Optimal Control and Inverse Problems

Analysis of Fork-Join Systems

Modeling of Complex Dynamic Systems

Bayesian Filtering and Smoothing

An Introduction to Probability and Statistical Inference