Poisson Process and its Fractional Extensions with Applications

Vieri Mosco

ISBN 10: 1032496053 / ISBN 13: 9781032496054

Published by Taylor & Francis Ltd Jun 2026, 2026

About this Item

Neuware - This book accompanies the reader from the simple, standard Poisson process to its more complex transformations, using a unified framework, showing proofs of basic theorems and references to more difficult results.The reader will also benefit from the empirical applications of the various models to real data in finance and insurance (e.g., stock market crashes and fire accidents), physics and geology (e.g., earthquakes), biology and demography (e.g., births, deaths, and pandemics), and more. Many of the applications relate to financial mathematics, and a professional can glean a lot from an understanding of how to apply this important mathematical tool.Some examples are worked out in open-source R showing the reader how to implement the models. Strengths of Poisson Process and its Fractional Extensions with Applications are: - A focus on a very fundamental class of stochastic processes - An introductory approach assuming no previous experience with the topics - A wide range of generalizations considered, including recent advances to which one of the authors has made seminal contributions - Attention not only to theory, but also to practical applications with real-data examples from a wide range of fields The authors pay special attention not only to the theoretical foundations of the Poisson process and the various generalizations that have been proposed in the literature in the last decades, but also to the practical applications in many different fields of the Poisson models for a better understanding of the stochastic structure of the real world.Note that for the sake of the reader, the probability generating functions are summarized in Appendix A; subordinators in Appendix B; fractional derivatives in Appendix C; gamma and Mittag-Leffler functions in Appendix D; and tools for data analysis in Appendix E. Appendix F contains the R code.

Seller Inventory # 9781032496054

Bibliographic Details

• Title: Poisson Process and its Fractional Extensions with Applications
• Publisher: Taylor & Francis Ltd Jun 2026
• Publication Date: 2026
• Language: English
• ISBN 10: 1032496053
• ISBN 13: 9781032496054
• Binding: Buch
• Condition: Neu
• Dimensions: 234W x 156H x 18D millimeters 234 millimeters width by 156 millimeters height by 18 millimeters depth
• Weight: 577 grams

About this title

Synopsis

This book accompanies the reader from the simple, standard Poisson process to its more complex transformations, using a unified framework, showing proofs of basic theorems and references to more difficult results.

The reader will also benefit from the empirical applications of the various models to real data in finance and insurance (e.g., stock market crashes and fire accidents), physics and geology (e.g., earthquakes), biology and demography (e.g., births, deaths, and pandemics), and more. Many of the applications relate to financial mathematics, and a professional can glean a lot from an understanding of how to apply this important mathematical tool.

Some examples are worked out in open-source R showing the reader how to implement the models. Strengths of Poisson Process and its Fractional Extensions with Applications are:

• A focus on a very fundamental class of stochastic processes
• An introductory approach assuming no previous experience with the topics
• A wide range of generalizations considered, including recent advances to which one of the authors has made seminal contributions
• Attention not only to theory, but also to practical applications with real-data examples from a wide range of fields

The authors pay special attention not only to the theoretical foundations of the Poisson process and the various generalizations that have been proposed in the literature in the last decades, but also to the practical applications in many different fields of the Poisson models for a better understanding of the stochastic structure of the real world.

Note that for the sake of the reader, the probability generating functions are summarized in Appendix A; subordinators in Appendix B; fractional derivatives in Appendix C; gamma and Mittag-Leffler functions in Appendix D; and tools for data analysis in Appendix E. Appendix F contains the R code.

About the Author

Enzo Orsingher is Emeritus Full Professor of Probability at the Sapienza University of Rome. He has written many seminal papers on Random motions, Random fields, Pseudo-processes governed by heat-type equations, Fractional calculus and fractional differential equations. Recent interests are in Diffusions with branching and Motions in non-euclidean spaces.

Riccardo Cesari is Full Professor of Mathematical Methods of Economics, Finance and Actuarial Sciences at the University of Bologna. He has a D.Phil from Oxford University. Between 2013 and 2025 he has been a member of the board of IVASS, the Italian Supervisory Authority for Insurance Companies. His academic interest and publications concern the term structure of interest rates, the valuation of structured securities, the analysis of unit trusts and pension funds, forecasting models of financial markets and strategic and tactical optimal financial allocation, implicit guarantees in insurance contracts and solvency problems in life and non-life insurance.

Vieri Mosco is an actuarial researcher at IVASS, the Italian Supervisory Authority for Insurance Companies. He has a Ph.D. from the Sapienza University of Rome, where he discussed a thesis on optimal management of insurance-segregated funds. His interest is in life and non-life insurance, quantitative actuarial models and empirical applications.