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Series series Physics and Astronomy (R0)
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The volume presents extensive research devoted to a broad spectrum of mathematical analysis and probability theory. Subjects discussed in this Work are those treated in the so-called Strasbourg–Zürich Meetings. These meetings occur twice yearly in each of the cities, Strasbourg and Zürich, venues of vibrant mathematical communication and worldwide gatherings. The topical scope of the book includes
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Series Book 8 - Institute of Mathematical Statistics Textbooks
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This introduction to some of the principal models in the theory of disordered systems leads the reader through the basics, to the very edge of contemporary research, with the minimum of technical fuss. Topics covered include random walk, percolation, self-avoiding walk, interacting particle systems, uniform spanning tree, random graphs, as well as the Ising, Potts, and random-cluster models for
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by Guy Latouche ...

Series series Mathematics and Statistics (R0)
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by Alexander A Gushchin ...

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Series Book 43 - Cambridge Series in Statistical and Probabilistic Mathematics
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Empirical Likelihood

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Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
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Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it easy to combined data from multiple sources. It al
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An Introduction to Financial Mathematics

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Series series Chapman and Hall/CRC Financial Mathematics Series
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Series series Chapman & Hall/CRC Texts in Statistical Science
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Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
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by Daniel Commenges, Helene Jacqmin-Gadda ...

Series series Chapman & Hall/CRC Biostatistics Series
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Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most of the advanced methods, such as multistate and joint models, can be ap
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Exact sampling, specifically coupling from the past (CFTP), allows users to sample exactly from the stationary distribution of a Markov chain. During its nearly 20 years of existence, exact sampling has evolved into perfect simulation, which enables high-dimensional simulation from interacting distributions.Perfect Simulation illustrates the applic
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by Granville Tunnicliffe Wilson, Marco Reale, John Haywood ...

Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
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Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vect
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Advances in Queueing Theory, Methods, and Open Problems

by Jewgeni H. Dshalalow ...

Series series Probability and Stochastics Series
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Series series Stability and Control: Theory, Methods and Applications
Nonlinear systems with random structures arise quite frequently as mathematical models in diverse disciplines. This monograph presents a systematic treatment of stability theory and the theory of stabilization of nonlinear systems with random structure in terms of new developments in the direct Lyapunov's method. The analysis focuses on dynamic systems with random Markov parameters. This high ... Read more

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Nonlinear systems with random structures arise quite frequently as mathematical models in diverse disciplines. This monograph presents a systematic treatment of stability theory and the theory of stabilization of nonlinear systems with random structure in terms of new developments in the direct Lyapunov's method. The analysis focuses on dynamic systems with random Markov parameters. This high
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by Cornelis W Oosterlee, Lech A Grzelak ...

This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market ... Read more

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This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market
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QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

by Antonius B. Dieker, Steven T. Hackman ...

Series series Springer Series in Operations Research and Financial Engineering
This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accurately generating approximate distributions of system performance over time, offering a robust tool for understanding the dynamics of such systems. QPLEX circumvents the curse of dimensionality by ... Read more

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This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accurately generating approximate distributions of system performance over time, offering a robust tool for understanding the dynamics of such systems. QPLEX circumvents the curse of dimensionality by
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Recommended For You

Probability eBooks

Doing Data Science

Decision Making under Deep Uncertainty

An Introduction to Anomalous Diffusion and Relaxation

Frontiers in Analysis and Probability

Probability on Graphs

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Stochastic Calculus for Quantitative Finance

Stochastic Models In The Life Sciences And Their Methods Of Analysis

Random Graphs and Complex Networks

Dynamics of Democratic Elections

Empirical Likelihood

An Introduction to Financial Mathematics

Stochastic Processes with R

Classical and Quantum Information Theory for the Physicist

Univariate Families of Distributions

Stochastic Analysis for Gaussian Random Processes and Fields

Dynamical Biostatistical Models

Perfect Simulation

Models for Dependent Time Series

Advances in Queueing Theory, Methods, and Open Problems

Diffusion

Stability and Stabilization of Nonlinear Systems with Random Structures

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QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems