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Statistical Inference for Spatial Processes

in computer vision and image processing. This book is devoted to statistical inference in spatial statistics and is intended for specialists needing;

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Semimartingales and their Statistical Inference

of semimartingales at a level needed for researchers working in the area of statistical inference for stochastic processes. The author brings together into;

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Semimartingales and Their Statistical Inference

of semimartingales at a level needed for researchers working in the area of statistical inference for stochastic processes. The author brings together into;

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Statistical Inference for Fractional Diffusion Processes

economics. In model building, statistical inference for stochastic processes is of great importance from both a theoretical and an applications;

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Optimal Statistical Inference in Financial Engineering

Until now, few systematic studies of optimal statistical inference for stochastic processes had existed in the financial engineering;

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Bayesian Inference for Stochastic Processes

This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the;

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Bayesian Inference for Stochastic Processes

This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the;

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Spatial Relationships Between Two Georeferenced Variables

This book offers essential, systematic information on the assessment of the spatial association between two processes from a statistical;

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Spatial Relationships Between Two Georeferenced Variables

This book offers essential, systematic information on the assessment of the spatial association between two processes from a statistical;

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Statistical Inference in Stochastic Processes

statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that determine the drift and the;

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Statistical Inference for Financial Engineering

This monograph provides the fundamentals of statistical inference for financial engineering and covers some selected methods suitable for;

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Statistical Portfolio Estimation

of investments. This book provides a comprehensive overview of statistical inference for portfolios and their various applications. A variety of asset;

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Statistical Portfolio Estimation

of investments. This book provides a comprehensive overview of statistical inference for portfolios and their various applications. A variety of asset;

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Introduction to Empirical Processes and Semiparametric Inference

research techniques are surprisingly useful for developing methods of statistical inference for complex models and in understanding the properties;

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Point Processes and Their Statistical Inference

treatment of the theory of point processes and statistical inference for point processes-highlighting both pointprocesses on the real line and sp;

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Point Processes and Their Statistical Inference

treatment of the theory of point processes and statistical inference for point processes-highlighting both pointprocesses on the real line and sp;

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Theory of Spatial Statistics

and point processes, from a rigorous mathematical point of view and shows how to carry out statistical inference. It contains full proofs;

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Theory of Spatial Statistics

and point processes, from a rigorous mathematical point of view and shows how to carry out statistical inference. It contains full proofs;

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Statistical Inference for Piecewise-deterministic Markov Processes

trivial. Responding to new developments in the field as well as to current research interests and needs, Statistical inference for piecewise;

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Statistics for Spatial Data

: * Exploratory spatial data analysis * Spectral theory for stationary processes * Spatial scale * Simulation methods for spatial processes * Spatial;

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Statistical Inference for Diffusion Type Processes

for model building in the social, physical, engineering, and life sciences as well as in financial economics. Statistical inference for;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood;

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Sense and Nonsense of Statistical Inference: Controversy

This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other;

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Sense and Nonsense of Statistical Inference

This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Handbook of Applied Economic Statistics

This work examines theoretical issues, as well as practical developments in statistical inference related to econometric models and;

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