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Parmeter, Christopher F.
25
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11
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7
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5
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4
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3
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Nonparametric Kernel regression with multiple predictors and multiple shape constraints
Du, Pang
;
Parmeter, Christopher F.
;
Racine, Jeffrey
-
2012
Persistent link: https://www.econbiz.de/10009612415
Saved in:
2
Consistent cross-validatory model-selection for dependent data : hv-block cross-validation
Racine, Jeffrey
- In:
Journal of econometrics
99
(
2000
)
1
,
pp. 39-61
Persistent link: https://www.econbiz.de/10001504420
Saved in:
3
Consistent significance testing for nonparametric regression
Racine, Jeffrey
- In:
Journal of business & economic statistics : JBES ; a …
15
(
1997
)
3
,
pp. 369-376
Persistent link: https://www.econbiz.de/10001222709
Saved in:
4
The reverse regression problem : statistical paradox or artefact of misspecification?
Racine, Jeffrey
- In:
The Canadian journal of economics
28
(
1995
)
3
,
pp. 502-531
Persistent link: https://www.econbiz.de/10001191510
Saved in:
5
Kernel estimation of multivariate conditional distributions
Racine, Jeffrey
;
Li, Qi
;
Zhu, Xi
- In:
Annals of economics and finance
5
(
2004
)
2
,
pp. 211-235
Persistent link: https://www.econbiz.de/10002544874
Saved in:
6
Semiparametric varying coefficient models with endogenous covariates
Centorrino, Samuele
;
Racine, Jeffrey
-
2016
Persistent link: https://www.econbiz.de/10011447092
Saved in:
7
Nonparametric analysis of complex nonlinear systems
Das, Sonali
;
Racine, Jeffrey
-
2016
Persistent link: https://www.econbiz.de/10011512857
Saved in:
8
Information measures for nonparametric Kernel estimation
Beheshti, Neshat
;
Racine, Jeffrey
;
Soofi, Ehsan S.
-
2015
Persistent link: https://www.econbiz.de/10010517200
Saved in:
9
Nonparametric conditional quantile estimation : a locally weighted quantile kernel approach
Racine, Jeffrey
;
Li, Kevin
- In:
Journal of econometrics
201
(
2017
)
1
,
pp. 72-95
Persistent link: https://www.econbiz.de/10011917426
Saved in:
10
Semiparametric varying coefficient models with endogenous covariates
Centorrino, Samuele
;
Racine, Jeffrey
- In:
Annals of economics and statistics
128
(
2017
),
pp. 261-295
Persistent link: https://www.econbiz.de/10011776896
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