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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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Semimartingales and their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its;

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Semimartingales and Their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its;

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Statistical Inference for Fractional Diffusion Processes

point of view. This book deals with Fractional Diffusion Processes and statistical inference for such stochastic processes. The main focus;

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Optimal Statistical Inference in Financial Engineering

, their asymptotically optimal inference, and the problem of prediction, followed by a chapter on statistical financial engineering that addresses;

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Stochastic Models, Statistics and Their Applications

contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival;

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Stochastic Modeling of Scientific Data

models, such as point processes, Markov random fields and hidden Markov models in a clear, thoughtful and succinct manner. The distinguishing;

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Stochastic Modeling of Scientific Data

models, such as point processes, Markov random fields and hidden Markov models in a clear, thoughtful and succinct manner. The distinguishing;

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Probability and Statistical Inference

series, and random processes. *Extensive discussion of the key concepts in classical statistics (point estimation, interval estimation;

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Probability and Statistical Inference

series, and random processes. *Extensive discussion of the key concepts in classical statistics (point estimation, interval estimation;

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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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Statistical Inference for Financial Engineering

processes, non-linear processes, long-memory processes, locally stationary processes etc. are introduced and their optimal estimation is considered;

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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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Bayesian Inference for Stochastic Processes

point and spatial processes are described in detail. Heavy emphasis is placed on many examples taken from biology and other scientific;

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Bayesian Inference for Stochastic Processes

point and spatial processes are described in detail. Heavy emphasis is placed on many examples taken from biology and other scientific;

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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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Introduction to Empirical Processes and Semiparametric Inference

Kosorok's brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful;

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Fundamental Statistical Inference

-Fundamental Statistical Inference: A Computational Approach offers comprehensive chapters on: Introducing Point and Interval Estimation; Goodness;

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Statistical Inference for Spatial Processes

The study of spatial processes and their applications is an important topic in statistics and finds wide application particularly;

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Statistical Inference

Adopting a broad view of statistical inference, this text concentrates on what various techniques do, with mathematical proofs kept to a;

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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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BI Statistical Methods: Volume I

In this ground-breaking work, Peter Walley constructs and justifies a radically rational theory of statistical inference. He derives;

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Inference for Diffusion Processes

natural sciences but also in finance and economics. Their mathematical theory, however, is challenging, and hence diffusion modelling is often;

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An Introduction to Statistical Inference and Its Applications with R

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition;

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