JP Nolan - Springer Series in Operations Research and Financial …, 2020 - Springer
Almost a century ago, Lévy (1925) first explored stable distributions in his study of sums of random terms. The basic mathematical facts about stable laws were described in the …
This is the first book specifically devoted to a systematic exposition of the essential facts known about the properties of stable distributions. In addition to its main focus on the …
Many of the concepts in theoretical and empirical finance developed over the past decades– including the classical portfolio theory, the Black-Scholes-Merton option pricing model and …
Stable distributions are a rich class of probability distributions that allow skewness and heavy tails and have many intriguing mathematical properties. The class was characterized …
JP Nolan - Statistics & probability letters, 1998 - Elsevier
The standard parameterizations used for stable distributions are poorly suited for both numerical work and for modeling. We suggest two parameterizations that are better for such …
A Weron - Probability Theory on Vector Spaces III: Proceedings of …, 2006 - Springer
One of the main motivation for studying probability theory on vector spaces is the possibility of applying the general theory to stochastic processes. In this paper we report the recent …
JH McCulloch - Handbook of statistics, 1996 - Elsevier
Publisher Summary Financial asset returns are the cumulative outcome of a vast number of pieces of information and individual decisions arriving continuously in time. According to the …
This concise introduction to probability theory is written in an informal, tutorial style with concepts and techniques defined and developed as necessary. After an elementary …
This book, a concise introduction to modern probability theory and certain of its ramifications, deals with a subject indispensable to natural scientists and mathematicians alike. Here the …