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

Encyclopedia of Complexity and Systems Science

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

Malliavin Calculus in Finance

Generalized Normalizing Flows via Markov Chains

Probability for Deep Learning Quantum

Stochastic Models in Reliability Engineering

Deterministic and Stochastic Optimal Control and Inverse Problems

Modeling and Analysis of Longitudinal Data: Volume 50

Imperfect Perception and Stochastic Choice in Experiments

Scalable Monte Carlo for Bayesian Learning

Stochastic Analysis