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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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Semiparametric and Nonparametric Methods in Econometrics

misleading. Nonparametric and semiparametric statistical methods provide a way to reduce the strength of the assumptions required for estimation and;

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Identification and Inference for Econometric Models

to the distributions of econometric estimators and tests, inference involving potentially nonstationary time series, such as processes that;

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Identification and Inference for Econometric Models

to the distributions of econometric estimators and tests, inference involving potentially nonstationary time series, such as processes that;

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Asymptotic Statistics

, U-statistics, and rank procedures, the book also presents recent research topics such as semiparametric models, the bootstrap, and empirical processes;

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Nonlinear Time Series

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention;

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Nonlinear Time Series

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention;

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Smoothing Splines

on RKHS accessible to practitioners and students. He offers a gentle introduction to RKHS, keeps theory at a minimum level, and explains how;

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Smoothing Splines

accessible to practitioners and students. He offers a gentle introduction to RKHS, keeps theory at a minimum level, and explains how RKHS can be used;

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Mathematical Statistics Basic Ideas and Selected Topics, Volume II 119 Chapman HallCRC Texts in Statistical Science

in the authors' previous volume. This second volume focuses on inference in non- and semiparametric models. It not only reexamines the procedures;

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Optimal Statistical Inference in Financial Engineering

in Financial Engineering examines how stochastic models can effectively describe actual financial data and illustrates how to properly estimate the;

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Statistical Tests Of Nonparametric Hypotheses

-Pearson and LeCam's theories of optimal tests, the theories of empirical processes and kernel estimators with extensions of their applications to;

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Statistical Inference for Financial Engineering

analyzing financial time series data. In order to describe the actual financial data, various stochastic processes, e.g. non-Gaussian linear;

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Statistical Foundations of Econometric Modelling

solution of problems in econometric modelling. This makes it an ideal introduction to empirical econometric modelling and the more advanced;

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An Introduction to Bayesian Inference, Methods and Computation

, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be;

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Statistical Inference for Fractional Diffusion Processes

of the book is to consider parametric and nonparametric inference problems for fractional diffusion processes when a complete path of the process;

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Semiparametric Regression for the Social Sciences

An introductory guide to smoothing techniques, semiparametric estimators, and their related methods, this book describes the methodology;

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An Introduction to Bayesian Inference and Decision

An Introduction to Bayesian Inference and Decision is een boek van Robert L Winkler;

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An Introduction to Bayesian Inference in Econometrics

volume is an early introduction to Bayesian inference and methodology which still has lasting value for today's statistician and student. The;

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Semimartingales and their Statistical Inference

applications to engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for;

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Semimartingales and Their Statistical Inference

applications to engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for;

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Econometric Modeling

Econometric Modeling provides a new and stimulating introduction to econometrics, focusing on modeling. The key issue confronting empirical;

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Empirical Bayes and Likelihood Inference

of Bayesian, likelihood and empirical Bayes methods, presented at a workshop held in Montreal, Canada. The goal of the workshop was to explore the;

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Economic Applications of Quantile Regression

. This volume collects 12 outstanding empirical contributions in economics and offers an indispensable introduction to interpretation;

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Introduction to Bayesian Econometrics

Introduction to Bayesian Econometrics 2e editie is een boek van Edward Greenberg uitgegeven bij Cambridge University Press. ISBN;

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Bayesian Inference for Stochastic Processes

many examples relevant to the analysis of stochastic processes, including the four major types, namely those with discrete time and discrete;

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Bayesian Inference for Stochastic Processes

many examples relevant to the analysis of stochastic processes, including the four major types, namely those with discrete time and discrete;

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