Stochastics books

Philosophy of Probability provides a comprehensive introduction to theoretical issues that occupy a central position...  Read More >>

Gaussian measures (the distributions of Gaussian random functions), as infinite-dimensional analogues of tht< classical...  Read More >>

GeoENV96, the First European Conference on Geostatistics for Environmental Applications held in Lisbon, was conceived...  Read More >>

“Failure Rate Modeling for Reliability and Risk” focuses on reliability theory, and to the failure rate (hazard...  Read More >>

This book aims to show that the probabilistic formalisms of classical statistical mechanics and quantum mechanics...  Read More >>

The regular chapters cover a wide range of themes, such as stochastic calculus and stochastic differentialequations,...  Read More >>

Motivated by practical optimization problems occurring in energy systems with regenerative energy supply, Debora...  Read More >>

Since its introduction in 1972, Stein’s method has offered a completely novel way of evaluating the quality of normal...  Read More >>

Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land...  Read More >>

This volume introduces advances and developments in iterative methods for solving Markovian queuing and manufacturing...  Read More >>

A comprehensive overview of weak convergence of stochastic processes and its application to the study of financial...  Read More >>

Identification of Continuous-time Models from Sampled Data presents an up-to-date view of this active area of research,...  Read More >>

Safety critical and high-integrity systems, such as industrial plants and economic systems can be subject to abrupt...  Read More >>

Memetic algorithms are evolutionary algorithms that apply a local search process to refine solutions to hard problems....  Read More >>

A problem of broad interest - the estimation of the spectral gap for matrices or differential operators (Markov...  Read More >>

t A collection of random variables (X ), where t belongs to a certain index t set T, is called a stochastic process,...  Read More >>

Aimed at advanced undergraduate and graduate students, and researchers in mathematics, physics, the natural sciences,...  Read More >>

In SMFD, these and related issues are addressed with rigor, authority and insight by prominent contributors drawn,...  Read More >>

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation....  Read More >>

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The numerous applications (micro-arrays, paleo- ecological data, radar waveforms, spectrometric curves, speech recognition,...  Read More >>

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The present textbook contains the recordsof a two–semester course on que- ing theory, including an introduction...  Read More >>

The author provides a comprehensive text with a broad focus covering all aspects of learning theory and it's applications....  Read More >>

Covers stochastic processes from a statistical, rather than a probabilistic, perspective. This book provides a systematic...  Read More >>