Data Science: Theory and Applications: Volume 44

Probability Models: Volume 51

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

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

Stochastic Methods in Scientific Computing

Efficiency and Productivity Analysis

Stochastic Analysis

Computational Methods for Transition States and Pathways in Rare Events

Theory of Stochastic Integrals

Discrete Stochastic Models and Applications for Reliability Engineering and ...

Imperfect Perception and Stochastic Choice in Experiments

Multiple Stopping Problems

Modeling of Complex Dynamic Systems

Stochastic Processes in Classical and Quantum Physics and Engineering

Asymptotische Stochastik: Eine Einführung mit Blick auf die Statistik