Stochastics books

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The intent of this book is to present recent results in the control theory for the long run average continuous control...  Read More >>

Deterministic versus stochastic modelling in biochemistry and systems biology introduces and critically reviews...  Read More >>

This book provides the mathematical foundations for the analysis of a class of degenerate elliptic operators defined...  Read More >>

This book provides the mathematical foundations for the analysis of a class of degenerate elliptic operators defined...  Read More >>

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Clear presentation employs methods that recognize computer-related aspects of theory. Topics include expectations...  Read More >>

This new edition is expanded and updated, complete with end-of-chapter exercises. Outlines the recent development...  Read More >>

This book builds on the fundamentals of statistical methods and provides appropriate concepts that will allow a...  Read More >>

Stochastic geometry, based on current developments in geometry, probability and measure theory, makes possible modeling...  Read More >>

This IMA Volume in Mathematics and its Applications STOCHASTIC NETWORKS is based on the proceedings of a workshop...  Read More >>

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Our initial motivation for writing this book was the observation from various students that the subject of design...  Read More >>

The 1985 Seminar on Stochastic Processes was held at the University of Florida, Gainesville, in March. The seminar...  Read More >>

The aim of this book is to promote interaction between engineering, finance and insurance, as these three domains...  Read More >>

ANOVA models involving random effects have found widespread application to experimental design in varied fields...  Read More >>

Exponential families of stochastic processes are parametric stochastic p- cess models for which the likelihood function...  Read More >>

Applying Generalized Linear Models describes how generalized linear modelling procedures can be used for statistical...  Read More >>

As the new title indicates, this second edition of Log-Linear Models has been modi?ed to place greater emphasis...  Read More >>

This text is concerned with Bayesian learning, inference and forecasting in dynamic environments.  Read More >>

This IMA Volume in ~athematics and its Applications PERCOLATION THEORY AND ERGODIC THEORY OF INFINITE PARTICLE SYSTEMS...  Read More >>

This unique review book uses simple, step by step, easy to understand arthmetic to illustrate and explain the following...  Read More >>

This unified, non-Monte-Carlo computational pricing methodology is capable of handling rather general classes of...  Read More >>

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The celebrated Parisi solution of the Sherrington-Kirkpatrick model for spin glasses is one of the most important...  Read More >>