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Bayesian Demographic Estimation and Forecasting

Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting;

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Bayesian Demographic Estimation and Forecasting

Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting;

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Demographic Forecasting

knowledge, and they show how to avoid these problems. They also explain how to incorporate a great deal of demographic knowledge into models with;

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Economic Forecasting

forecasting from a decision theoretic and estimation perspective* Covers Bayesian modeling, including methods for generating density forecasts;

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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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Statistical and Mathematical Sciences and Their Applications

techniques for analysis of water quality parameters, Bayesian estimation techniques for lifetime distributions, reliability and life testing;

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The Structural Econometric Time Series Analysis Approach

of econometric modeling and forecasting problems as well as Bayesian and non-Bayesian testing, shrinkage estimation and forecasting procedures are also;

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The Structural Econometric Time Series Analysis Approach

of econometric modeling and forecasting problems as well as Bayesian and non-Bayesian testing, shrinkage estimation and forecasting procedures are also;

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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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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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Bayesian Analysis in Econometrics and Statistics

This book presents some of Arnold Zellner's outstanding contributions to the philosophy, theory and application of Bayesian analysis;

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Particle Filters for Random Set Models

This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and;

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Bayesian Estimation and Tracking

for non-Gaussian systems is short on practical methodology, while Gaussian methods often lack a cohesive derivation. Bayesian Estimation and;

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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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Understanding the Tripartite Approach to Bayesian Divergence Time Estimation

describe the tripartite model used for Bayesian estimation of time calibrated phylogenetic trees. The model can be readily separated into its;

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Theory of Point Estimation

This second, much enlarged edition by Lehmann and Casella of Lehmann's classic text on point estimation maintains the outlook and general;

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Probabilistic Forecasting and Bayesian Data Assimilation

In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead;

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Probabilistic Forecasting and Bayesian Data Assimilation

In this book the authors describe the principles and methods behind probabilistic forecasting and Bayesian data assimilation. Instead;

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Bayesian Analysis for Population Ecology

Novel Statistical Tools for Conserving and Managing Populations By gathering information on key demographic parameters, scientists can;

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Bayesian Analysis for Population Ecology

Novel Statistical Tools for Conserving and Managing Populations By gathering information on key demographic parameters, scientists can;

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Statistical Decision Theory and Bayesian Analysis

as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes;

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Bayesian Deconvolution of Sparse Processes

Bayesian Deconvolution of Sparse Processes: In this work, various Bayesian methods for deconvolution and blind deconvolution of sparse;

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Hidden Markov Models for Time Series

covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference. Through examples and applications, the authors;

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Bayesian Theory and Methods with Applications

Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering;

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Subjective And Objective Bayesian Statistics

distributions, predictivism, estimation, analysis of variance, and classification and imaging.* Includes topics not covered in other books, such as the;

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