Curve fitting and jump detection on nonparametric regression with missing data

Journal of Applied Statistics ◽

10.1080/02664763.2021.2004580 ◽

2021 ◽

pp. 1-21

Author(s):

Qianyi Li ◽

Jianbo Li ◽

Yongran Cheng ◽

Riquan Zhang

Keyword(s):

Missing Data ◽

Nonparametric Regression ◽

Curve Fitting ◽

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Efficient estimation of the error distribution function in heteroskedastic nonparametric regression with missing data

Statistics & Probability Letters ◽

10.1016/j.spl.2016.04.009 ◽

2016 ◽

Vol 117 ◽

pp. 31-39 ◽

Author(s):

Justin Chown

Keyword(s):

Distribution Function ◽

Missing Data ◽

Nonparametric Regression ◽

Error Distribution ◽

Efficient Estimation

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Jump detection in time series nonparametric regression models: a polynomial spline approach

Annals of the Institute of Statistical Mathematics ◽

10.1007/s10463-013-0411-3 ◽

2013 ◽

Vol 66 (2) ◽

pp. 325-344 ◽

Author(s):

Yujiao Yang ◽

Qiongxia Song

Keyword(s):

Time Series ◽

Nonparametric Regression ◽

Regression Models ◽

Polynomial Spline ◽

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Confidence intervals for nonparametric regression functions with missing data: Multiple design case

Journal of Systems Science and Complexity ◽

10.1007/s11424-011-8278-y ◽

2011 ◽

Vol 24 (6) ◽

pp. 1204-1217 ◽

Author(s):

Qingzhu Lei ◽

Yongsong Qin

Keyword(s):

Missing Data ◽

Confidence Intervals ◽

Nonparametric Regression ◽

Regression Functions ◽

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Multiply robust estimation in nonparametric regression with missing data

Journal of Nonparametric Statistics ◽

10.1080/10485252.2019.1700254 ◽

2019 ◽

Vol 32 (1) ◽

pp. 73-92

Author(s):

Yilun Sun ◽

Lu Wang ◽

Peisong Han

Keyword(s):

Missing Data ◽

Nonparametric Regression ◽

Robust Estimation

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Model checks for nonparametric regression with missing data: a comparative study

Journal of Statistical Computation and Simulation ◽

10.1080/00949655.2016.1156114 ◽

2016 ◽

Vol 86 (16) ◽

pp. 3188-3204 ◽

Author(s):

T. R. Cotos-Yáñez ◽

A. Pérez-González ◽

W. González-Manteiga

Keyword(s):

Missing Data ◽

Comparative Study ◽

Nonparametric Regression

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Variational Bayesian Inference for Parametric and Nonparametric Regression With Missing Data

Journal of the American Statistical Association ◽

10.1198/jasa.2011.tm10301 ◽

2011 ◽

Vol 106 (495) ◽

pp. 959-971 ◽

Author(s):

C. Faes ◽

J. T. Ormerod ◽

M. P. Wand

Keyword(s):

Bayesian Inference ◽

Missing Data ◽

Nonparametric Regression ◽

Variational Bayesian ◽

Variational Bayesian Inference

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A Local Polynomial Jump-Detection Algorithm in Nonparametric Regression

Technometrics ◽

10.2307/1270648 ◽

1998 ◽

Vol 40 (2) ◽

pp. 141 ◽

Author(s):

Peihua Qiu ◽

Brian Yandell

Keyword(s):

Nonparametric Regression ◽

Detection Algorithm ◽

Jump Detection ◽

Local Polynomial

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Local Polynomial Jump-Detection Algorithm in Nonparametric Regression

Technometrics ◽

10.1080/00401706.1998.10485196 ◽

1998 ◽

Vol 40 (2) ◽

pp. 141-152 ◽

Author(s):

Peihua Qiu ◽

Brian Yandell

Keyword(s):

Nonparametric Regression ◽

Detection Algorithm ◽

Jump Detection ◽

Local Polynomial

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An application of nonparametric regression to missing data in large market surveys

Journal of Applied Statistics ◽

10.1080/02664763.2017.1369498 ◽

2017 ◽

Vol 45 (7) ◽

pp. 1292-1302 ◽

Author(s):

Gary Madden ◽

Nicholas Apergis ◽

Paul Rappoport ◽

Aniruddha Banerjee

Keyword(s):

Missing Data ◽

Nonparametric Regression ◽

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Nonparametric regression with missing data

Wiley Interdisciplinary Reviews Computational Statistics ◽

10.1002/wics.1303 ◽

2014 ◽

Vol 6 (4) ◽

pp. 265-275 ◽

Author(s):

Sam Efromovich

Keyword(s):

Missing Data ◽

Nonparametric Regression

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