Stokastiikka

The fourth edition of this widely used textbook on pricing and hedging of financial derivatives now also includes dynamic equilibrium theory and continues to combine sound …

This comprehensive text gives an interesting and useful blend of the mathematical, probabilistic and statistical tools used in heavy-tail analysis. Heavy tails are …

This book is a final year undergraduate text on stochastic processes, a tool used widely by statisticians and researchers working in the mathematics of finance. The book will give …

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property.

This book introduces optimal control problems for large families of deterministic and stochastic systems with discrete or continuous time parameter. These families include most of …

Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included -- this is a modern method missing in …

Computational inference uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive …

There follows chapters on martingales, Poisson random measures, Levy Processes, Brownian motion, and Markov Processes.Special attention is paid to Poisson random measures and their …

Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, …

When properly applied, randomness can be a powerful tool in programming, science, and art. This highly practical but geekily fun introduction to randomness shows you how to put …