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Bandwidth Choice for Nonparametric Classification:

Hall, Peter ; Kang, Kee-Hoon
The Annals of Statistics. 33 (2005) 1 - p. 284-306 , 2005

Link: https://www.jstor.org/stable/3448664

RT Journal
T1 <Title>Bandwidth Choice for Nonparametric Classification</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-3448664&Exemplar=1&LAN=DE
				
A1 Hall, Peter
A1 Kang, Kee-Hoon
PB Institute of Mathematical Statistics
YR 2005
SN 0090-5364
K1 Bayes Risk
K1 Bootstrap
K1 Cross-Validation
K1 Classification Error
K1 Discrimination
K1 Error Rate
K1 Kernel Methods
K1 Nonparametric Density Estimation
K1 Physical sciences
K1 Physics
K1 Mechanics
K1 Density
K1 Density measurement
K1 Density estimation
K1 Information science
K1 Information management
K1 Information classification
K1 Mathematics
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Inferential statistics
K1 Statistical estimation
K1 Estimation methods
K1 Estimators
K1 Earth sciences
K1 Geography
K1 Geomorphology
K1 Topography
K1 Fall lines
K1 Pure mathematics
K1 Geometry
K1 Geometric properties
K1 Curvature
K1 Error rates
K1 Social sciences
K1 Population studies
K1 Population characteristics
K1 Population density
K1 Game theory
K1 Minimax
K1 Behavioral sciences
K1 Psychology
K1 Cognitive psychology
K1 Cognitive processes
K1 Decision making
K1 Bayesian theories
K1 Bayes estimators
JF The Annals of Statistics
VO 33
IS 1
SP 284
OP 306
LK http://dx.doi.org/https://www.jstor.org/stable/3448664
DO https://www.jstor.org/stable/3448664
SF ELIB - SuUB Bremen

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