Unser Katalog

Probability Theory and Stochastic Modelling
Backward Stochastic Differential Equations : From Linear to Fully Nonlinear Theory

Springer Proceedings in Mathematics & Statistics
Bayesian Statistics in Action : BAYSM 2016, Florence, Italy, June 19-21

Lecture Notes in Mathematics : An Informal Series of Special Lectures, Seminars and Reports on Mathematical Topics
Directed Polymers in Random Environments : École d'Été de Probabilités de Saint-Flour XLVI - 2016

Probability Theory and Stochastic Modelling
Discrete Probability Models and Methods : Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding

Mathematics and Statistics Series : Branching Processes, Branching Random Walks and Branching Particle Fields Set
Discrete Time Branching Processes in Random Environment

Adaptive Computation and Machine Learning
Elements of Causal Inference : Foundations and Learning Algorithms

Lecture Notes in Mathematics : An Informal Series of Special Lectures, Seminars and Reports on Mathematical Topics
Ergodic Theory and Negative Curvature : CIRM Jean-Morlet Chair, Fall 2013

Cambridge Studies in Advanced Mathematics
Fractals in Probability and Analysis

Cambridge Series in Statistical and Probabilistic Mathematics
Fundamentals of Nonparametric Bayesian Inference

Understanding Complex Systems
Fundamentals of Stochastic Nature Sciences

Cambridge Studies in Advanced Mathematics
Gaussian Processes on Trees : From Spin Glasses to Branching Brownian Motion

Springer-Lehrbuch
Grundlagen der Wahrscheinlichkeitsrechnung und Statistik : Eine Einführung für Studierende der Informatik, der Ingenieur- und Wirtschaftswissenschaften

Methods in Molecular Biology (New York, NY, United States)
Hidden Markov Models : Methods and Protocols

Inequalities in Analysis and Probability

Introduction to Bayesian Estimation and Copula Models of Dependence

Lecture Notes in Mathematics : An Informal Series of Special Lectures, Seminars and Reports on Mathematical Topics
Lévy Matters VI : Lévy-Type Processes : Moments, Construction and Heat Kernel Estimates

Cambridge Series in Statistical and Probabilistic Mathematics
Long-Range Dependence and Self-Similarity

Markov Chains : From Theory to Implementation and Experimentation

Probability Theory and Stochastic Modelling
Matrix-Exponential Distributions in Applied Probability

Springer Proceedings in Mathematics & Statistics
Modern Problems of Stochastic Analysis and Statistics : Selected Contributions In Honor of Valentin Konakov