Statistical Topics and Stochastic Models for Dependent Data with Applications

Statistical Topics and Stochastic Models for Dependent Data with Applications
Author: Vlad Stefan Barbu
Publisher: John Wiley & Sons
Total Pages: 288
Release: 2020-12-03
Genre: Mathematics
ISBN: 1786306034


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This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergence measures and entropies. A special attention is payed to applications in reliability, survival analysis and related fields.


Statistical Topics and Stochastic Models for Dependent Data with Applications
Language: en
Pages: 288
Authors: Vlad Stefan Barbu
Categories: Mathematics
Type: BOOK - Published: 2020-12-03 - Publisher: John Wiley & Sons

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This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applicatio
Statistical Topics and Stochastic Models for Dependent Data with Applications
Language: en
Pages: 288
Authors: Vlad Stefan Barbu
Categories: Mathematics
Type: BOOK - Published: 2020-10-09 - Publisher: John Wiley & Sons

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This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applicatio
Stochastic Models, Statistics and Their Applications
Language: en
Pages: 450
Authors: Ansgar Steland
Categories: Mathematics
Type: BOOK - Published: 2019-10-15 - Publisher: Springer Nature

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This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, G
Statistical Learning for Big Dependent Data
Language: en
Pages: 562
Authors: Daniel Peña
Categories: Mathematics
Type: BOOK - Published: 2021-03-16 - Publisher: John Wiley & Sons

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Master advanced topics in the analysis of large, dynamically dependent datasets with this insightful resource Statistical Learning with Big Dependent Data deliv
Empirical Process Techniques for Dependent Data
Language: en
Pages: 378
Authors: Herold Dehling
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Empirical process techniques for independent data have been used for many years in statistics and probability theory. These techniques have proved very useful f