Bayes prediction density and regression estimation — A semiparametric approach

Empirical Economics ◽

10.1007/bf01972449 ◽

1988 ◽

Vol 13 (3-4) ◽

pp. 209-222 ◽

Author(s):

R. C. Tiwari ◽

S. R. Jammalamadaka ◽

S. Chib

Keyword(s):

Regression Estimation ◽

Semiparametric Approach ◽

Bayes Prediction ◽

Prediction Density

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Bayes Prediction Density and Regression Estimation — A Semiparametric Approach

Semiparametric and Nonparametric Econometrics ◽

10.1007/978-3-642-51848-5_6 ◽

1989 ◽

pp. 87-100

Author(s):

R. C. Tiwari ◽

S. R. Jammalamadaka ◽

S. Chib

Keyword(s):

Regression Estimation ◽

Semiparametric Approach ◽

Bayes Prediction ◽

Prediction Density

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A Model Selection Approach to the Two-Phase Regression Estimation and The Human Sensitivity Analysis in Urban Ecosystem

Behaviormetrika ◽

10.2333/bhmk.10.13_1 ◽

1983 ◽

Vol 10 (13) ◽

pp. 1-18

Author(s):

Masashi Itoh ◽

Kazuo Noda ◽

Yutaka Shinada ◽

Naomi Tachibana

Keyword(s):

Sensitivity Analysis ◽

Model Selection ◽

Urban Ecosystem ◽

Regression Estimation ◽

Two Phase ◽

Model Selection Approach ◽

Selection Approach

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On robust regression estimation for shape parameters of Pareto distribution

Recent Developments on Reliability, Maintenance and Safety ◽

10.2495/qr2mse140411 ◽

2015 ◽

Author(s):

Y. M. Kantar

Keyword(s):

Pareto Distribution ◽

Robust Regression ◽

Regression Estimation ◽

Shape Parameters

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Aspects of linear regression estimation under the criterion of minimizing the maximum absolute residual

10.31274/rtd-180813-2411 ◽

1978 ◽

Author(s):

Michael Lawrence Hand

Keyword(s):

Linear Regression ◽

Regression Estimation ◽

Absolute Residual

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Wage Flexibility in Spain: A Semiparametric Approach

SSRN Electronic Journal ◽

10.2139/ssrn.900072 ◽

2006 ◽

Author(s):

Adolfo Maza ◽

Ignacio Moral-Arce

Keyword(s):

Semiparametric Approach ◽

Wage Flexibility

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Recursive kernel regression estimation under α – mixing data

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2021.1897842 ◽

2021 ◽

pp. 1-17

Author(s):

Yousri Slaoui

Keyword(s):

Kernel Regression ◽

Regression Estimation ◽

Kernel Regression Estimation

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A Re-Weighted Least Squares Method for Robust Regression Estimation

American Journal of Mathematical and Management Sciences ◽

10.1080/01966324.2006.10737673 ◽

2006 ◽

Vol 26 (3-4) ◽

pp. 229-252 ◽

Author(s):

Nedret Billor ◽

Samprit Chatterjee ◽

Ali S. Hadi

Keyword(s):

Least Squares ◽

Robust Regression ◽

Least Squares Method ◽

Weighted Least Squares ◽

Regression Estimation ◽

Weighted Least Squares Method

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Bayes prediction for the number of failures of a repairable system

IEEE Transactions on Reliability ◽

10.1109/24.589959 ◽

1997 ◽

Vol 46 (2) ◽

pp. 291-295 ◽

Author(s):

J.A. Beiser ◽

S.E. Rigdon

Keyword(s):

Repairable System ◽

Bayes Prediction

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Explaining Applications to the U.S. Disability System: A Semiparametric Approach

The Journal of Human Resources ◽

10.2307/146357 ◽

2000 ◽

Vol 35 (1) ◽

pp. 82 ◽

Author(s):

Brent Kreider ◽

Regina T. Riphahn

Keyword(s):

Semiparametric Approach ◽

System A ◽

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Convergence rate of cross-validation in nonlinear wavelet regression estimation

Chinese Science Bulletin ◽

10.1007/bf02885059 ◽

1999 ◽

Vol 44 (10) ◽

pp. 898-901

Author(s):

Zhang Shuanglin ◽

Zheng Zhongguo

Keyword(s):

Convergence Rate ◽

Cross Validation ◽

Regression Estimation ◽

Wavelet Regression

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