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Nadaraya–Watson estimator
ID: nadaraya-watson-estimator
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Nadaraya–Watson estimator
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Created
2026-09-28
Updated
2026-11-05
This local-constant
estimator
is one particular
kernel regression
method.
The Nadaraya–Watson
estimator
is the degree-zero local
polynomial
estimate
m
(
x
)
=
∑
i
K
((
x
i
−
x
)
/
h
)
∑
i
K
((
x
i
−
x
)
/
h
)
Y
i
.
(1)
At
a
support
boundary it generally has
first
-order bias because it reproduces
constants
but not linear
functions
.
Total
articles
:
1
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