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Bayesian Forecasting and Dynamic Models

This text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory;

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Bayesian Analysis of Linear Models

,Bayesian Analysis of Linear Models fills this need. Plus, this definitive volume containssomething traditional-a review of Bayesian techniques and;

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Bayesian Analysis of Linear Models

,Bayesian Analysis of Linear Models fills this need. Plus, this definitive volume containssomething traditional-a review of Bayesian techniques and;

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The Structural Econometric Time Series Analysis Approach

relations between dynamic econometric structural models and empirical time series MVARMA, VAR, transfer function, and univariate ARIMA models are;

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The Structural Econometric Time Series Analysis Approach

relations between dynamic econometric structural models and empirical time series MVARMA, VAR, transfer function, and univariate ARIMA models are;

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Dynamic Linear Models with R

. After a detailed introduction to general state space models, this book focuses on dynamic linear models, emphasizing their Bayesian analysis;

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Exchange Rates in South America's Emerging Markets

Purchasing Power Parity, the Uncovered Interest Rate, the Sticky Price, the Bayesian Model Averaging, and the Bayesian Vector Autoregression models;

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Time Series

Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference, Time Series: Modeling;

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Applied Economic Forecasting using Time Series Methods

result of a vast, complex, dynamic and stochastic system, forecasting is very difficult and forecast errors are unavoidable. Because forecast;

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Economic Forecasting

, and combination methods for forecasting models, and how we evaluate the resulting forecasts. Both Bayesian and non-Bayesian methods are;

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Applied Bayesian Forecasting and Time Series Analysis

Practical in its approach, Applied Bayesian Forecasting and Time Series Analysis provides the theories, methods, and tools necessary for;

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Applied Bayesian Forecasting and Time Series Analysis

Practical in its approach, Applied Bayesian Forecasting and Time Series Analysis provides the theories, methods, and tools necessary for;

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Demographic Forecasting

many fewer adjustable parameters than classic Bayesian approaches, and develop models with Bayesian priors in the presence of partial prior;

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Forecasting with Dynamic Regression Models

This volume presents the basic concepts and practice of building, using and interpreting single equation dynamic regression models (also;

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Bayesian Analysis of Stochastic Process Models

, computational, inference, forecasting, decision making and important applied models. Key features: * Explores Bayesian analysis of models based on;

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Handbook of Economic Forecasting

Research on forecasting methods has made important progress over recent years and these developments are brought together in the Handbook;

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The Stone Lectures in Economics

understanding of the relationship of univariate and multivariate time series forecasting models and dynamic, time series structural econometric models;

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The Stone Lectures in Economics

understanding of the relationship of univariate and multivariate time series forecasting models and dynamic, time series structural econometric models;

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Bayesian Econometrics

Bayesian Econometrics illustrates the scope and diversity of modern applications, reviews some recent advances, and highlights many;

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Bayesian Econometrics

Bayesian Econometrics illustrates the scope and diversity of modern applications, reviews some recent advances, and highlights many;

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Probabilistic Graphical Models

of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams;

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Visual Analysis of Behaviour

, canonical correlation analysis, dynamic Bayesian networks, Gaussian mixtures, and Gibbs sampling; investigates hidden conditional random fields;

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Introduction to Bayesian Estimation and Copula Models of Dependence

Presents an introduction to Bayesian statistics, presents an emphasis on Bayesian methods (prior and posterior), Bayes estimation;

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Developments in Demographic Forecasting

This open access book presents new developments in the field of demographic forecasting, covering both mortality, fertility and migration;

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Ecological Forecasting

, including Bayesian calibration and the complexities of real-world data; uncertainty quantification, partitioning, propagation, and analysis;

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Yield Curve Modeling and Forecasting

Understanding the dynamic evolution of the yield curve is critical to many financial tasks, including pricing financial assets and their;

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Bayesian Analysis for Population Ecology

, modern Bayesian methods have become important in this area of statistical inference and forecasting. Emphasising model choice and model;

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