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Pathwise Estimation and Inference for Diffusion Market Models

Pathwise estimation and inference for diffusion market models discusses contemporary techniques for inferring, from options and bond prices;

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Pathwise Estimation and Inference for Diffusion Market Models

Pathwise estimation and inference for diffusion market models discusses contemporary techniques for inferring, from options and bond prices;

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Methods for Estimation and Inference in Modern Econometrics

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such;

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Methods for Estimation and Inference in Modern Econometrics

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such;

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Parameter Estimation in Stochastic Volatility Models

into the volatility process, these new methods will help better predict option pricing and stock market crash risk. Some simulation algorithms;

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Parameter Estimation in Fractional Diffusion Models

This book is devoted to parameter estimation in diffusion models involving fractional Brownian motion and related processes. For many years;

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Inference in Hidden Markov Models

This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. Topics;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

theory of statistical inference in such models - hypothesis testing, estimation and confidence sets - is presented within the minimax paradigm;

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Statistical Inference

: The estimation and hypothesis testing problems for both discrete and continuous models The robustness properties and the structural geometry;

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Statistical Inference

different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by Minimum Distance Estimation;

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Handbook Of Applied Econometrics And Statistical Inference

implementation of sample surveys, advances in the theory of Neyman's smooth test, and methods for pre-test and biased estimation. It includes discussions;

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Handbook Of Applied Econometrics And Statistical Inference

implementation of sample surveys, advances in the theory of Neyman's smooth test, and methods for pre-test and biased estimation. It includes discussions;

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Economic Modeling and Inference

, covering areas including job search models of the labor market, asset pricing, option pricing, marketing, and retirement planning. Ideal for;

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A Graduate Course on Statistical Inference

This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends;

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Proceedings of the International Conference on Linear Statistical Inference Linstat '93

Inference LINSTAT '93, held in Poznan, Poland, from May 31 to June 4, 1993. Topics treated include estimation, prediction and testing in linear;

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Estimation of Spatial Panels

well as dynamic models. Estimation of Spatial Panels provides some recent developments on the specification and estimation of such models. The;

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Identification and Inference for Econometric Models

significance in econometric theory. The chapters cover four themes: identification and efficient estimation in econometrics, asymptotic approximations;

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Identification and Inference for Econometric Models

significance in econometric theory. The chapters cover four themes: identification and efficient estimation in econometrics, asymptotic approximations;

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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

option pricing theory, the statistical estimation for portfolio coefficients, and value-at-risk (VaR) problems via residual empirical return;

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Statistical Inference

testing and interval estimation are all covered thoroughly, with recent developments outlined. Separate chapters are devoted to Bayesian inference;

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Signals, Systems and Inference, Global Edition

minimum mean-square-error estimation, and matched filtering for signal detection. Model-based approaches to inference are emphasised;

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Spatial and Spatiotemporal Econometrics

volume in the context of existing literature. New methods for estimation and inference are introduced in this volume and Monte Carlo comparisons;

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Semimartingales and their Statistical Inference

of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic;

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Semimartingales and Their Statistical Inference

of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic;

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Theory of Statistical Inference

Theory of Statistical Inference is designed as a reference on statistical inference for researchers and students at the graduate or;

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Bayesian Inference in the Social Sciences

, marketing, and finance Emphasizing interdisciplinary coverage, Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian;

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