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WEAK AND STRONG UNIVERSAL CONSISTENCY OF SEMI-RECURSIVE KERNEL AND PARTITIONING REGRESSION ESTIMATES
-
L. Györfi
Veröffentlicht/Copyright:
1. Januar 1998
Published Online: 1998-01
Published in Print: 1998-01
© 2014 Oldenbourg Wissenschaftsverlag GmbH, Rosenheimer Str. 145, 81671 München
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Artikel in diesem Heft
- Contents
- WEAK AND STRONG UNIVERSAL CONSISTENCY OF SEMI-RECURSIVE KERNEL AND PARTITIONING REGRESSION ESTIMATES
- PREDICTION IN LINEAR REGRESSION COMBINING CRISP DATA AND FUZZY PRIOR INFORMATION
- THE EXACT RISK OF A WEIGHTED AVERAGE ESTIMATOR OF THE OLS AND STEIN-RULE ESTIMATORS IN REGRESSION UNDER BALANCED LOSS
- On Bayesian experiments related to a pair of Statistical observations independent conditionally on the parameter
- A BAYESIAN APPROACH TO LOSS ROBUSTNESS
- BAYESIAN ROBUSTNESS IN SMALL AREA ESTIMATION
- Book reviews
- INSTRUCTIONS TO AUTHORS
Artikel in diesem Heft
- Contents
- WEAK AND STRONG UNIVERSAL CONSISTENCY OF SEMI-RECURSIVE KERNEL AND PARTITIONING REGRESSION ESTIMATES
- PREDICTION IN LINEAR REGRESSION COMBINING CRISP DATA AND FUZZY PRIOR INFORMATION
- THE EXACT RISK OF A WEIGHTED AVERAGE ESTIMATOR OF THE OLS AND STEIN-RULE ESTIMATORS IN REGRESSION UNDER BALANCED LOSS
- On Bayesian experiments related to a pair of Statistical observations independent conditionally on the parameter
- A BAYESIAN APPROACH TO LOSS ROBUSTNESS
- BAYESIAN ROBUSTNESS IN SMALL AREA ESTIMATION
- Book reviews
- INSTRUCTIONS TO AUTHORS
