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Recent Advances in Estimating Nonlinear Models

Transition (ESTAR) models, and Markov Switching (MS) models, among several others. This edited volume provides a timely overview of nonlinear;

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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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Missing Data Methods

, covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models; Markov Switching Models in Empirical Finance; Bayesian;

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Missing Data Methods

, covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models; Markov Switching Models in Empirical Finance; Bayesian;

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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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Dealing with Endogeneity in Regression Models with Dynamic Coefficients

issues of endogeneity in Markov-switching models and time-varying parameter models. While others have considered estimation of simultaneous;

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State-Space Models

models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly;

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State-Space Models

models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly;

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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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Nonlinear Financial Econometrics

This book proposes new methods to value equity and model the Markowitz efficient frontier using Markov switching models and provide new;

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Nonlinear Financial Econometrics

This book proposes new methods to value equity and model the Markowitz efficient frontier using Markov switching models and provide new;

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Asymptotic Analyses for Complex Evolutionary Systems with Markov and Semi-Markov Switching Using Approximation Schemes

This book analyzes stochastic evolutionary models under the impulse of diffusion, as well as Markov and semi-Markov switches. Models are;

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The Blackwell Encyclopedia of Management

role of Threshold Autoregressive and Markov Switching models.* Provides clear, concise, up to the minute and highly informative definitions and;

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Analysis of Computer and Communication Networks

design options used to build efficient switching equipment. Topics covered include Markov chains and queuing analysis, traffic modeling;

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Piecewise Deterministic Processes in Biological Models

types of PDMPs appear: continuous time Markov chains, deterministic processes with jumps, processes with switching dynamics, and point processes;

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Markov Models for Pattern Recognition

. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions;

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Inference for Hidden Markov Models and related Models

Inference for Hidden Markov Models and related Models is een boek van Cuvillier Verlag;

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Semi-Markov Processes

Semi-Markov Processes: Applications in System Reliability and Maintenance is a modern view of discrete state space and continuous time;

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Mixture and Hidden Markov Models with R

This book discusses mixture and hidden Markov models for modeling behavioral data. Mixture and hidden Markov models are statistical models;

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Latent Markov Models for Longitudinal Data

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;

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Latent Markov Models for Longitudinal Data

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data;

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Markov Chains and Decision Processes for Engineers and Managers

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;

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Markov Chains and Decision Processes for Engineers and Managers

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;

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Finite Markov Processes and Their Applications

finite Markov chain theory that offers examples of applicable models.The text advances to studies of two basic types of homogeneous finite;

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Markov Chains

This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatted as a text, complete with end;

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Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications

, Statistics of Diffusions, Markov Processes and other Statistical Applications.;

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Option Pricing and Estimation of Financial Models with R

based on these models. Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching;

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