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Particle Filters for Random Set Models

Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book;

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Mean Field Simulation for Monte Carlo Integration

. Mean Field Simulation for Monte Carlo Integration presents the first comprehensive and modern mathematical treatment of mean field particle;

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Mean Field Simulation for Monte Carlo Integration

. Mean Field Simulation for Monte Carlo Integration presents the first comprehensive and modern mathematical treatment of mean field particle;

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Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering

is non-Gaussian and, therefore, closed-form analytical expressions for the MMSE estimate are generally unavailable. We begin the notes with a;

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Multi-scale Analysis for Random Quantum Systems with Interaction

important and challenging problem that largely remains open. Multi-scale Analysis for Random Quantum Systems with Interaction presents the progress;

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Probability on Graphs

systems, uniform spanning tree, random graphs, as well as the Ising, Potts, and random-cluster models for ferromagnetism, and the Lorentz model;

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Probability on Graphs

systems, uniform spanning tree, random graphs, as well as the Ising, Potts, and random-cluster models for ferromagnetism, and the Lorentz model;

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Random Growth Models

The study of random growth models began in probability theory about 50 years ago, and today this area occupies a central place in the;

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Theoretical Aspects of Spatial-Temporal Modeling

random set methods in space and time otherwise known as the class of probability hypothesis density framework (PHD filters). The second chapter;

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Non-Homogeneous Random Walks

Stochastic systems provide powerful abstract models for a variety of important real-life applications: for example, power supply, traffic;

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Orthogonal Polynomials and Random Matrices

This volume expands on a set of lectures held at the Courant Institute on Riemann-Hilbert problems, orthogonal polynomials, and random;

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Random Walk and Diffusion Models

This book offers an accessible introduction to random walk and diffusion models at a level consistent with the typical background;

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Handling Missing Data in Ranked Set Sampling

traditional sampling. It is called Ranked Set Sampling (RSS). A random selection is made with the replacement of samples, which are ordered (ranked;

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Limit Theorems For Associated Random Fields And Related Systems

and other models are provided. For such random systems, it is worthwhile to establish principal limit theorems of the modern probability;

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Brownian Motion

Brownian motion is the seemingly random movement of particles suspended in a fluid or the mathematical model used to describe such random;

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Advanced Particle Physics Two-Volume Set

, theoretical framework, and mathematical tools to understand current experiments and make predictions for future experiments. The set brings together a;

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Advanced Particle Physics Two-Volume Set

, theoretical framework, and mathematical tools to understand current experiments and make predictions for future experiments. The set brings together a;

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Finite Mathematics Mod & Aplicati Set

; Simplex Methods; Application Models; Set and Probability Relationships; Random Variables and Probability Distributions; Markov Chains;

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On-Line Fault Diagnosis and Failure Prognosis Using Particle Filters

This work introduces an on-line particle-filtering-based framework for fault diagnosis and failure prognosis in nonlinear, non-Gaussian;

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Stochastic Equations through the Eye of the Physicist

particle suspended in fluid and subjected to random molecular bombardment laid the foundation for modern stochastic calculus and statistical;

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Computing and Random Numbers

Sampling Method and Fuzzy -Means and Cluster Ensemble with Random Projection for Big Data Clustering. Provides the reader with insights into the;

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Probability Random Processes & Statistic

Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range;

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Non-Linear Time Series

This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book;

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Morphological Models of Random Structures

This book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). The;

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Random Walks Of Infinitely Many Particles

The author's previous book, Random Walk in Random and Non-Random Environments, was devoted to the investigation of the Brownian motion of a;

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Evolution of Biological Systems in Random Media

The book is devoted to the study of limit theorems and stability of evolving biologieal systems of particles in random environment. Here;

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Evolution of Biological Systems in Random Media

The book is devoted to the study of limit theorems and stability of evolving biologieal systems of particles in random environment. Here;

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