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State-Space Models

Finance. The third part deals with Hidden Markov Models, Regime Switching and Mathematical Finance and the fourth part is on Nonlinear State-Space;

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State-Space Models

Finance. The third part deals with Hidden Markov Models, Regime Switching and Mathematical Finance and the fourth part is on Nonlinear State-Space;

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State-Space Models with Regime Switching

Both state-space models and Markov switching models have been highly productive paths for empirical research in macroeconomics and finance;

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Linear Parameter-varying System Identification

between LPV systems, hybrid switching systems and piecewise affine models, identification of hybrid switching systems and piecewise affine systems;

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Marktbasierte Zinsprognosen Mit Regime-Switching-Modellen

Marktbasierte Zinsprognosen mit Regime-Switching-Modellen. is een boek van Ralf Ahrens;

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Advances in Markov-Switching Models

contributions cover new advances in Markov-switching models with applications to business cycle research and finance. The introduction surveys the;

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State Space and Unobserved Component Models

This 2004 volume offers a broad overview of developments in the theory and applications of state space modeling. With fourteen chapters;

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Applied Economic Forecasting using Time Series Methods

forecasting problems. Applied Economic Forecasting using Time Series Methods starts with a brief review of basic regression analysis with a focus on;

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Resistive Switching

With its comprehensive coverage, this reference introduces readers to the wide topic of resistance switching, providing the knowledge;

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The Reaction Wheel Pendulum

configuration using linear control, to the nonlinear control problem of swingup control. We also discuss hybrid and switching control, which is useful;

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The Reaction Wheel Pendulum

configuration using linear control, to the nonlinear control problem of swingup control. We also discuss hybrid and switching control, which is useful;

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Stochastic Modelling Of Aids Epidemiology And Hiv Pathogenesis

This book discusses systematically treatment on the development of stochastic, statistical and state;...

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Switching Processes in Queueing Models

Switching processes, invented by the author in 1977, is the main tool used in the investigation of traffic problems from automotive to;

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Introduction to Time Series Modeling with Applications in R

and non-Gaussian modeling. ... [It] is a valuable book, especially with its broad and accessible introduction of models in the state-space;

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Stochastic Models With Applications to Genetics, Cancers, AIDS, and Other Biomedical Systems

This book presents a systematic treatment of Markov chains, diffusion processes and state space mode;...

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Code-switching

substantial part of today's society. This book explores the phenomenon of code-switching within the field of child bilingualism from both linguistic;

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Inference in Hidden Markov Models

. In a unified way the book covers both models with finite state spaces and models with continuous state spaces (also called state-space models;

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Dealing with Endogeneity in Regression Models with Dynamic Coefficients

models with endogenous regressors. Section 4 deals with estimation of a Markov-switching model, where regressors are exogenous or predetermined;

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The Essentials of Linear State-Space Systems

stability of general nonlinear systems is introduced, with the detailed analysis concentrating on LTI systems.;

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An Introduction to State Space Time Series Analysis

time series models, this book introduces time series analysis using state space methodology to readers who are neither familiar with time;

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Dynamic Linear Models with R

series analysis is required, although familiarity with basic statistics and R is assumed.;

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Non-Linear Time Series Models in Empirical Finance

-linear models, including regime-switching and artificial neural networks. The focus is on the potential applicability for describing and;

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Non-Linear Time Series Models in Empirical Finance

-linear models, including regime-switching and artificial neural networks. The focus is on the potential applicability for describing and;

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Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems

This book presents a systematic treatment of Markov chains, diffusion processes and state space mode;...

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Linear Time Series with MATLAB and OCTAVE

each topic, and from the beginning illustrating the theory with software examples. As such, it quickly introduces readers to the peculiarities;

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Linear Time Series with MATLAB and Octave

each topic, and from the beginning illustrating the theory with software examples. As such, it quickly introduces readers to the peculiarities;

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Time Series Analysis for the State Space Model with R Stan

insight on flexible modeling in modern time series analysis. The main topics of the book deal with the state-space model, covering extensively;

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