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Bayesian Estimation and Tracking

nonlinear dynamic systems driven by Gaussian and non-Gaussian noices. Featuring a unified approach to Bayesian estimation and tracking, the book;

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Grid-Based Nonlinear Estimation and Its Applications

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two;

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Grid-based Nonlinear Estimation and Its Applications

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two;

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Estimation with Applications to Tracking and Navigation

Expert coverage of the design and implementation of state estimation algorithms for tracking and navigation Estimation with Applications to;

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Particle Filters for Random Set Models

This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and;

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Introduction to Bayesian Estimation and Copula Models of Dependence

Presents an introduction to Bayesian statistics, presents an emphasis on Bayesian methods (prior and posterior), Bayes estimation;

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Fundamentals of Object Tracking

-of-sequence sensors - within this Bayesian framework and how to derive the standard tracking solutions. This structured approach makes very complex;

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Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. The model can be readily separated into its;

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Theory of Point Estimation

This second, much enlarged edition by Lehmann and Casella of Lehmann's classic text on point estimation maintains the outlook and general;

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Analysis of Wildlife Radio-Tracking Data

of free-ranging animals with radio-tracking devices. This book explicates the many analytical techniques and computer programs available to;

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Simultaneous Tracking and Shape Estimation of Extended Objects

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Statistical Decision Theory and Bayesian Analysis

as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes;

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Cognitive Fusion for Target Tracking

fusion to the sequential estimation problem of target tracking using foveal and radar sensors.;

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Bayesian Deconvolution of Sparse Processes

Bayesian Deconvolution of Sparse Processes: In this work, various Bayesian methods for deconvolution and blind deconvolution of sparse;

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Bayesian Theory and Methods with Applications

Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering;

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Subjective And Objective Bayesian Statistics

distributions, predictivism, estimation, analysis of variance, and classification and imaging.* Includes topics not covered in other books, such as the;

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Current Trends in Bayesian Methodology with Applications

networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics. Each;

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Current Trends in Bayesian Methodology with Applications

networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics. Each;

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Bayesian Phylogenetics

Offering a rich diversity of models, Bayesian phylogenetics allows evolutionary biologists, systematists, ecologists, and epidemiologists;

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Narrowband Direction of Arrival Estimation for Antenna Arrays

, equations, and data models of narrowband arrays. It then discusses basic beamforming methods and describes how they relate to DOA estimation;

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Bayesian Demographic Estimation and Forecasting

Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting;

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Bayesian Demographic Estimation and Forecasting

Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting;

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Modeling and Estimation of Structural Damage

of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches;

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Estimation Problems in Hybrid Systems

Developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid;

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Estimation Problems in Hybrid Systems

Developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid;

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Statistical and Mathematical Sciences and Their Applications

techniques for analysis of water quality parameters, Bayesian estimation techniques for lifetime distributions, reliability and life testing;

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Narrowband Direction of Arrival Estimation for Antenna Arrays

, equations, and data models of narrowband arrays. It then discusses basic beamforming methods and describes how they relate to DOA estimation;

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