WEAK AND STRONG UNIVERSAL CONSISTENCY OF SEMI-RECURSIVE KERNEL AND PARTITIONING REGRESSION ESTIMATES

L. Györfi; M. Kohler; H. Walk

doi:10.1524/strm.1998.16.1.1

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WEAK AND STRONG UNIVERSAL CONSISTENCY OF SEMI-RECURSIVE KERNEL AND PARTITIONING REGRESSION ESTIMATES

L. Györfi , M. Kohler and H. Walk

Published/Copyright: January 1, 1998

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From the journal Statistics & Risk Modeling Volume 16 Issue 1

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MLA
APA
Harvard
Chicago
Vancouver

Györfi, L., Kohler, M. and Walk, H.. "WEAK AND STRONG UNIVERSAL CONSISTENCY OF SEMI-RECURSIVE KERNEL AND PARTITIONING REGRESSION ESTIMATES" Statistics & Risk Modeling, vol. 16, no. 1, 1998, pp. 1-18. https://doi.org/10.1524/strm.1998.16.1.1

Györfi, L., Kohler, M. & Walk, H. (1998). WEAK AND STRONG UNIVERSAL CONSISTENCY OF SEMI-RECURSIVE KERNEL AND PARTITIONING REGRESSION ESTIMATES. Statistics & Risk Modeling, 16(1), 1-18. https://doi.org/10.1524/strm.1998.16.1.1

Györfi, L., Kohler, M. and Walk, H. (1998) WEAK AND STRONG UNIVERSAL CONSISTENCY OF SEMI-RECURSIVE KERNEL AND PARTITIONING REGRESSION ESTIMATES. Statistics & Risk Modeling, Vol. 16 (Issue 1), pp. 1-18. https://doi.org/10.1524/strm.1998.16.1.1

Györfi, L., Kohler, M. and Walk, H.. "WEAK AND STRONG UNIVERSAL CONSISTENCY OF SEMI-RECURSIVE KERNEL AND PARTITIONING REGRESSION ESTIMATES" Statistics & Risk Modeling 16, no. 1 (1998): 1-18. https://doi.org/10.1524/strm.1998.16.1.1

Györfi L, Kohler M, Walk H. WEAK AND STRONG UNIVERSAL CONSISTENCY OF SEMI-RECURSIVE KERNEL AND PARTITIONING REGRESSION ESTIMATES. Statistics & Risk Modeling. 1998;16(1): 1-18. https://doi.org/10.1524/strm.1998.16.1.1

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Articles in the same Issue

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

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https://doi.org/10.1524/strm.1998.16.1.1

Articles in the same Issue

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