probability theory

Henri Poincaré, 1912-2012: Poincaré Seminar 2012

0 Type: Book

This thirteenth volume of the Poincaré Seminar Series, Henri Poincaré, 1912-2012, is published on the occasion of the centennial of the death of Henri Poincaré in 1912. It presents a scholarly approach to Poincaré's genius and creativity in mathematical physics and mathematics. …

Henri Poincaré, 1912-2012: Poincaré Seminar 2012

by Poincaré Seminar, Paris, France)

fromProgress in mathematics (Boston, Mass.)

0 Type: Book

This thirteenth volume of the Poincaré Seminar Series, Henri Poincaré, 1912-2012, is published on the occasion of the centennial of the death of Henri Poincaré in 1912. It presents a scholarly approach to Poincaré's genius and creativity in mathematical physics and mathematics. …

Advances in Mathematical Economics Volume 19

0 Type: Book

The series is designed to bring together those mathematicians who are seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking effective mathematical tools for their research. A lot of economic problems can be formulate…

Detection of Random Signals in Dependent Gaussian Noise

by Gualtierotti, Antonio F.

0 Type: Book

The book presents the necessary mathematical basis to obtain and rigorously use likelihoods for detection problems with Gaussian noise. To facilitate comprehension the text is divided into three broad areas - reproducing kernel Hilbert spaces, Cramér-Hida representations and sto…

Poisson Point Processes and Their Application to Markov Processes

by Itô, Kiyosi

0 Type: Book

An extension problem (often called a boundary problem) of Markov processes has been studied, particularly in the case of one-dimensional diffusion processes, by W. Feller, K. Itô, and H. P. McKean, among others. In this book, Itô discussed a case of a general Markov process with…

Uncertainty Theory

by Liu, Baoding

0 Type: Book

When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. Perhaps some people think that the belief degree should be modeled by subjective probability or fuzzy set theory…

Uncertainty theory

by Liu, Baoding

fromSpringer uncertainty research

0 Type: Book

When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. Perhaps some people think that the belief degree should be modeled by subjective probability or fuzzy set theory…

Advances in mathematical economics

by Kusuoka, S., (Shigeo), Maruyama, Toru

fromAdvances in Mathematical Economics

0 Type: Book

A lot of economic problems can be formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians h…

Limit theorems for multi-indexed sums of random variables

by Klesov, Oleg

fromProbability Theory and Stochastic Modelling

0 Type: Book

Presenting the first unified treatment of limit theorems for multiple sums of independent random variables, this volume fills an important gap in the field. Several new results are introduced, even in the classical setting, as well as some new approaches that are simpler than th…

Probabilistic diophantine approximation: randomness in lattice point counting

by Beck, Jozsef

fromSpringer Monographs in Mathematics

0 Type: Book

This book gives a comprehensive treatment of random phenomena and distribution results in diophantine approximation, with a particular emphasis on quadratic irrationals. It covers classical material on the subject as well as many new results developed by the author over the past…

Measure theory and probability

by Guillemin, Victor, Adams, Malcolm Ritchie

0 Type: Book

"Measure theory and integration are presented to undergraduates from the perspective of probability theory. The first chapter shows why measure theory is needed for the formulation of problems in probability, and explains why one would have been forced to invent Lebesgue theory …