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Modelling and Prediction Honoring Seymour Geisser

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Cover of 'Modelling and Prediction Honoring Seymour Geisser'

Table of Contents

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    Book Overview
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    Chapter 1 Some Statistical Issues in Forensic DNA Profiling
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    Chapter 2 Statistical Practice as Argumentation: A Sketch of a Theory of Applied Statistics
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    Chapter 3 Individual Rationality and Social Efficiency in an Information Contagion Model
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    Chapter 4 Bayesian Method of Moments (BMOM) Analysis of Mean and Regression Models
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    Chapter 5 On the Prediction of Growth Curves
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    Chapter 6 Predictive Influence in the Log Normal Survival Model
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    Chapter 7 Selecting the Form of Combining Regressions Based on Recur sive Prediction Criteria
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    Chapter 8 Multiperiod-Ahead Predictive Densities and Model Comparison in Dynamic Models
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    Chapter 9 Bayesian Prediction Under Asymmetric Linear Loss: Forecasting State Tax Revenues in Iowa
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    Chapter 10 On small sample Bayesian inference and sequential design for quantal response curves
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    Chapter 11 Some Simulation Results for the Performance of DNA Classification of Noisy Image Data
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    Chapter 12 Case-Control Studies and Bayesian Inference
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    Chapter 13 Modelling and Prediction Honoring Seymour Geisser
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    Chapter 14 Improved Quasi-Maximum Likelihood Estimation for Stochastic Volatility Models
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    Chapter 15 Bayesian Inference for Linear Models Subject to Linear Inequality Constraints
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    Chapter 16 The Joint Asymptotic Distribution of the Maximum Likelihood and Mantel-Haenszel Estimators of the Common Odds Ratio in k 2 x 2 Tables
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    Chapter 17 On The Justification of Default and Intrinsic Bayes Factors
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    Chapter 18 Tests on Independence of VNTR Alleles in the Chinese Population in Hong Kong
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    Chapter 19 Bayes Factors for Testing the Equality of Covariance Matrix Eigenvalues
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    Chapter 20 Model Selection in Parapsychology: Psychokinesis, Precognition or Chance?
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    Chapter 21 An Empirical Bayesian Approach to Cointegrating Rank Selection and Test of the Present Value Model for Stock Prices
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    Chapter 22 Prediction of Individual Bond Prices via the TDM Model
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    Chapter 23 On the Use of Canonical Correlation Analysis in Testing Common Trends
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    Chapter 24 Conjugate Processes
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    Chapter 25 Nonlinear Time Series — Bifurcation, Chaos, and Stationarity
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    Chapter 26 The VAR-VARCH model: A Bayesian approach
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    Chapter 27 Statistical Assessment of Atmospheric Ozone Data for Depletion
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Title
Modelling and Prediction Honoring Seymour Geisser
Published by
Springer New York, December 2013
DOI 10.1007/978-1-4612-2414-3
ISBNs
978-1-4612-7529-9, 978-1-4612-2414-3
Editors

Lee, Jack C., Johnson, Wesley O., Zellner, Arnold

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