Design-Adaptive Pointwise Non-Parametric Regression Estimation for Recurrent Markov Time Series

Non-parametric regression with a latent time series

Econometrics Journal ◽

10.1111/j.1368-423x.2009.00278.x ◽

2009 ◽

Vol 12 (2) ◽

pp. 187-207 ◽

Cited By ~ 5

Author(s):

Oliver Linton ◽

Jens Perch Nielsen ◽

Søren Feodor Nielsen

Keyword(s):

Time Series ◽

Parametric Regression ◽

Latent Time ◽

Non Parametric

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A Comparative Study of Neural Networks and Non-Parametric Regression Models for Trend and Seasonal Time Series

Trends in Applied Sciences Research ◽

10.3923/tasr.2009.126.137 ◽

2009 ◽

Vol 4 (3) ◽

pp. 126-137 ◽

Cited By ~ 3

Author(s):

Dursun Aydin

Keyword(s):

Neural Networks ◽

Time Series ◽

Comparative Study ◽

Regression Models ◽

Parametric Regression ◽

Seasonal Time Series ◽

Parametric Regression Models ◽

Non Parametric

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Robustness in Parametric and Non-Parametric Regression Estimation: An Investigation by Computer Simulations

Compstat 1984 ◽

10.1007/978-3-642-51883-6_5 ◽

1984 ◽

pp. 49-54 ◽

Cited By ~ 1

Author(s):

J. Antoch ◽

G. Collomb ◽

S. Hassani

Keyword(s):

Computer Simulations ◽

Regression Estimation ◽

Parametric Regression ◽

Non Parametric

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Automatic Derivation of Cropland Phenological Parameters by Adaptive Non-Parametric Regression of Sentinel-2 Ndvi Time Series

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2018.8519264 ◽

2018 ◽

Cited By ~ 2

Author(s):

Yady Tatiana Solano-Correa ◽

Francesca Bovolo ◽

Lorenzo Bruzzone ◽

Diego Fernindez-Prieto

Keyword(s):

Time Series ◽

Parametric Regression ◽

Ndvi Time Series ◽

Sentinel 2 ◽

Non Parametric

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Non-parametric regression estimation from data contaminated by a mixture of Berkson and classical errors

Journal of the Royal Statistical Society Series B (Statistical Methodology) ◽

10.1111/j.1467-9868.2007.00614.x ◽

2007 ◽

Vol 69 (5) ◽

pp. 859-878 ◽

Cited By ~ 22

Author(s):

Raymond J. Carroll ◽

Aurore Delaigle ◽

Peter Hall

Keyword(s):

Regression Estimation ◽

Parametric Regression ◽

Non Parametric

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Hammerstein system identification by non-parametric regression estimation

International Journal of Control ◽

10.1080/00207178708933731 ◽

1987 ◽

Vol 45 (1) ◽

pp. 343-354 ◽

Cited By ~ 48

Author(s):

WLODZIMIERZ GREBLICKI ◽

MTROSLAW PAWLAK

Keyword(s):

System Identification ◽

Regression Estimation ◽

Hammerstein System ◽

Parametric Regression ◽

Non Parametric

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Non-parametric regression estimation on closed Riemannian manifolds

Journal of Nonparametric Statistics ◽

10.1080/10485250500504828 ◽

2006 ◽

Vol 18 (1) ◽

pp. 57-67 ◽

Cited By ~ 23

Author(s):

Bruno Pelletier

Keyword(s):

Riemannian Manifolds ◽

Regression Estimation ◽

Parametric Regression ◽

Non Parametric

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Resampling for checking linear regression models via non-parametric regression estimation

Computational Statistics & Data Analysis ◽

10.1016/s0167-9473(99)00117-6 ◽

2000 ◽

Vol 35 (2) ◽

pp. 211-231 ◽

Cited By ~ 8

Author(s):

J.M.Vilar Fernández ◽

W.González Manteiga

Keyword(s):

Linear Regression ◽

Regression Models ◽

Regression Estimation ◽

Linear Regression Models ◽

Parametric Regression ◽

Non Parametric

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Multiscale inference and long-run variance estimation in non-parametric regression with time series errors

Journal of the Royal Statistical Society Series B (Statistical Methodology) ◽

10.1111/rssb.12347 ◽

2019 ◽

Vol 82 (1) ◽

pp. 5-37

Author(s):

Marina Khismatullina ◽

Michael Vogt

Keyword(s):

Time Series ◽

Variance Estimation ◽

Parametric Regression ◽

Long Run ◽

Non Parametric

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Optimal convergence rates in non-parametric regression with fractional time series errors

Journal of Time Series Analysis ◽

10.1111/j.1467-9892.2012.00811.x ◽

2012 ◽

Vol 34 (1) ◽

pp. 30-39 ◽

Cited By ~ 3

Author(s):

Yuanhua Feng ◽

Jan Beran

Keyword(s):

Time Series ◽

Convergence Rates ◽

Parametric Regression ◽

Optimal Convergence ◽

Optimal Convergence Rates ◽

Non Parametric

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