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Modern Problems in Insurance Mathematics
  • Language: en
  • Pages: 388

Modern Problems in Insurance Mathematics

  • Type: Book
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  • Published: 2014-06-06
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  • Publisher: Springer

This book is a compilation of 21 papers presented at the International Cramér Symposium on Insurance Mathematics (ICSIM) held at Stockholm University in June, 2013. The book comprises selected contributions from several large research communities in modern insurance mathematics and its applications. The main topics represented in the book are modern risk theory and its applications, stochastic modelling of insurance business, new mathematical problems in life and non-life insurance and related topics in applied and financial mathematics. The book is an original and useful source of inspiration and essential reference for a broad spectrum of theoretical and applied researchers, research students and experts from the insurance business. In this way, Modern Problems in Insurance Mathematics will contribute to the development of research and academy–industry co-operation in the area of insurance mathematics and its applications.

Fluctuations of Lévy Processes with Applications
  • Language: en
  • Pages: 461

Fluctuations of Lévy Processes with Applications

Lévy processes are the natural continuous-time analogue of random walks and form a rich class of stochastic processes around which a robust mathematical theory exists. Their application appears in the theory of many areas of classical and modern stochastic processes including storage models, renewal processes, insurance risk models, optimal stopping problems, mathematical finance, continuous-state branching processes and positive self-similar Markov processes. This textbook is based on a series of graduate courses concerning the theory and application of Lévy processes from the perspective of their path fluctuations. Central to the presentation is the decomposition of paths in terms of exc...

Gerber–Shiu Risk Theory
  • Language: en
  • Pages: 95

Gerber–Shiu Risk Theory

Motivated by the many and long-standing contributions of H. Gerber and E. Shiu, this book gives a modern perspective on the problem of ruin for the classical Cramér–Lundberg model and the surplus of an insurance company. The book studies martingales and path decompositions, which are the main tools used in analysing the distribution of the time of ruin, the wealth prior to ruin and the deficit at ruin. Recent developments in exotic ruin theory are also considered. In particular, by making dividend or tax payments out of the surplus process, the effect on ruin is explored. Gerber-Shiu Risk Theory can be used as lecture notes and is suitable for a graduate course. Each chapter corresponds to approximately two hours of lectures.

Collected Works II
  • Language: de

Collected Works II

  • Type: Book
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  • Published: 2013-10-30
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  • Publisher: Springer

This is a collection of Harald Cramér's extensive works on number theory, probability, mathematical statistics and insurance mathematics. Many of these are not easily found nowadays in their original sources, for instance his pioneering works on risk theory published in jubilee volumes of the Skandia Insurance Company in 1930 and 1955. Despite their age, these eminent examples of Cramér's expository style remain highly readable. Cramér (Stockholm 1893-1985) was one of the "fathers" of modern mathematical statistics. His famous book on the subject is still an important reference. His statistical papers included here were seminal to the subsequent development of the subject. The collection includes a complete bibliography of Cramér's work.

Harald Cramér
  • Language: de
  • Pages: 728

Harald Cramér

  • Type: Book
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  • Published: 1994
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  • Publisher: Unknown

None

Ecology of Infectious Diseases in Natural Populations
  • Language: en
  • Pages: 535

Ecology of Infectious Diseases in Natural Populations

A combination of ecology and epidemiology in natural, unmanaged, animal and plant populations.

Introduction And Fundamental Concepts Of Machine Learning
  • Language: en
  • Pages: 220

Introduction And Fundamental Concepts Of Machine Learning

The field of machine learning is gaining a lot of attention around the world, both in the research community and in the business world. Learning by machine is becoming increasingly important in many aspects of modern life. Deep learning neural networks have been responsible for several recent technological advances, including those in the fields of computer vision, voice processing, machine translation, and reinforcement learning. As a direct consequence of this, neural networks have developed into an indispensable instrument in the toolset of every data scientist. This book explains neural networks, including what they are, why they are effective algorithms and why they have the structure t...

Library of Congress Name Headings with References
  • Language: en
  • Pages: 1126

Library of Congress Name Headings with References

  • Type: Book
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  • Published: 1979
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  • Publisher: Unknown

None

Collected Works I
  • Language: en

Collected Works I

  • Type: Book
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  • Published: 2013-11-06
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  • Publisher: Springer

This is a collection of Harald Cramer's extensive work on number theory, probability, mathematical statistics and insurance mathematics. Many of these are not easily found in their original sources nowadays, for instance his pioneering work on risk theory published in the Skandia Insurance Company's jubilee volumes in 1930 and 1955. Despite their age, these eminent examples of Cramer's expository style remain highly readable. Cramer was one of the "fathers" of modern mathematical statistics. His famous book on the subject is still an important reference. His statistical papers included here were seminal to the subsequent development of the subject. The collection includes a complete bibliography of Cramer's work.

Models for Infectious Human Diseases
  • Language: en
  • Pages: 518

Models for Infectious Human Diseases

Infectious disease accounts for more death and disability globally than either non-infectious disease or injury. This book contains a breadth of different quantitative approaches to understanding the patterns of infectious diseases in populations, and the design of control strategies to lessen their effect. The contributors bring a great variety of mathematical expertise (including deterministic and stochastic modelling and statistical data analysis) and involvement in a wide range of applied fields across the spectrum of biological, medical and social sciences. The aim is to increase interaction between specialities by describing research on many of the infectious diseases that affect humans, including both viral diseases like measles and AIDS and tropical parasitic infections. The papers are divided into groups dealing with problems relating to transmissible diseases, vaccination strategies, the consequences of treatment interventions, the dynamics of immunity, heterogeneity of populations, and prediction.