Vladas Pipiras's Books

A concise introduction covering all of the measure theory and probability most useful for statisticians.

A modern and rigorous introduction to long-range dependence and self-similarity, complemented by numerous more specialized up-to-date topics in this research area.

A concise introduction covering all of the measure theory and probability most useful for statisticians.

A modern and rigorous introduction to long-range dependence and self-similarity, complemented by numerous more specialized up-to-date topics in this research area.

This book provides a self-contained presentation on the structure of a large class of stable processes, known as self-similar mixed moving averages. The authors present a way to describe and classify these processes by relating them to so-called deterministic flows. The first sections in the book review random variables, stochastic processes, and integrals, moving on to rigidity and flows, and finally ending with mixed moving averages and self-similarity. In-depth appendices are also included. This book is aimed at graduate students and researchers working in probability theory and statistics.

Book's by Vladas Pipiras

A Basic Course in Measure and Probability

A Basic Course in Measure and Probability

Long-Range Dependence and Self-Similarity

Long-Range Dependence and Self-Similarity

A Basic Course in Measure and Probability

A Basic Course in Measure and Probability

Long-Range Dependence and Self-Similarity

Long-Range Dependence and Self-Similarity

Stable Non-Gaussian Self-Similar Processes with Stationary Increments

Stable Non-Gaussian Self-Similar Processes with Stationary Increments

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