Poisson Process and its Fractional Extensions with Applications (Hardcover)
Idioma: inglés
Editorial: Taylor & Francis Ltd, 2026
- Tapa dura
- Nuevo
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Vendedor de IberLibro desde 29 de junio de 2022
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Hardcover. 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 processesAn introductory approach assuming no previous experience with the topicsA wide range of generalizations considered, including recent advances to which one of the authors has made seminal contributionsAttention not only to theory, but also to practical applications with real-data examples from a wide range of fieldsThe 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. This book progresses 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. It reveals the practical applications of Poisson models for a better understanding of the stochastic structure of the real world. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
N° de ref. del artículo 9781032496054
- Título
- Poisson Process and its Fractional Extensions with Applications (Hardcover)
- Autor
- Enzo Orsingher
- Editorial
- Taylor & Francis Ltd
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 1032496053
- ISBN 13
- 9781032496054
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.
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
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.
“Acerca de” puede pertenecer a otra edición de este título.
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