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State Space and Unobserved Component Models

from twenty-three contributors, it offers a unique synthesis of state space methods and unobserved component models that are important in a;

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An Introduction to State Space Time Series Analysis

Providing a practical introduction to state space methods as applied to unobserved components time series models, also known as structural;

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Unobserved Components and Time Series Econometrics

This volume presents original and up-to-date studies in unobserved components (UC) time series models from both theoretical and;

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Bayesian Econometric Methods

, including state space and unobserved components models, stochastic volatility models, ARCH, GARCH, and vector autoregressive models. The authors;

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Bayesian Econometric Methods

, including state space and unobserved components models, stochastic volatility models, ARCH, GARCH, and vector autoregressive models. The authors;

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Time Series Modelling with Unobserved Components

Despite the unobserved components model (UCM) having many advantages over more popular forecasting techniques based on regression analysis;

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Time Series Modelling with Unobserved Components

Despite the unobserved components model (UCM) having many advantages over more popular forecasting techniques based on regression analysis;

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State-Space Models

theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series;

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State-Space Models

theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series;

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Frailty Models in Survival Analysis

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its;

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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 space models of the HIV epidemic and;

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Structural Econometric Models

of high dimensional state space, the identification of Markov dynamic games with persistent unobserved state variables and developing test;

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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 models, as well as alternative approaches;

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Missing-Data Methods

of unobserved outcomes. This volume reflects the fact that econometricians have been very active in the development and use of methods for unobserved;

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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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Introduction to Time Series Modeling with Applications in R

Praise for the first edition: [This book] reflects the extensive experience and significant contributions of the author to non-linear;

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Morphological Models of Random Structures

This book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). The;

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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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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 models, as well as alternative approaches;

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The Essentials of Linear State-Space Systems

in feedback control system design, power system design and analysis, communications, signal processing, robotics, and simulation. The state--space;

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Liquid Acquisition Devices for Advanced In-Space Cryogenic Propulsion Systems

liquid acquisition devices (LAD) through component-level and full-scale ground experiments, as well as analytical tools. This book;

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The Analysis of Time Series

This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory;

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The Analysis of Time Series

This new edition of this classic title, now in its seventh edition, presents a balanced and comprehensive introduction to the theory;

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Dynamic Linear Models with R

State space models have gained tremendous popularity in recent years in as disparate fields as engineering, economics, genetics and ecology;

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Linear Systems and Control

Based largely on state space models, this text/reference utilizes fundamental linear algebra and operator techniques to develop classical;

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Time Series Analysis for the State Space Model with R Stan

This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently;

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Time Series Analysis for the State Space Model with R Stan

This book provides a comprehensive and concrete illustration of time series analysis focusing on the state-space model, which has recently;

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