Generalized Nonparametric Mixed-Effect Models: Computation and Smoothing Parameter Selection

Journal of Computational and Graphical Statistics ◽

10.1198/106186005x47651 ◽

2005 ◽

Vol 14 (2) ◽

pp. 485-504 ◽

Author(s):

Chong Gu ◽

Ping Ma

Keyword(s):

Parameter Selection ◽

Smoothing Parameter ◽

Mixed Effect ◽

Smoothing Parameter Selection ◽

Mixed Effect Models

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Optimum smoothing parameter selection for penalized least squares in form of linear mixed effect models

Optimization ◽

10.1080/02331934.2011.574698 ◽

2012 ◽

Vol 61 (4) ◽

pp. 459-476 ◽

Author(s):

Dursun Aydın ◽

Memmedağa Memmedli

Keyword(s):

Least Squares ◽

Parameter Selection ◽

Smoothing Parameter ◽

Penalized Least Squares ◽

Mixed Effect ◽

Linear Mixed Effect ◽

Smoothing Parameter Selection ◽

Mixed Effect Models ◽

Selection For ◽

Linear Mixed Effect Models

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Computation and Smoothing Parameter Selection In Penalized Likelihood Regression

Communications for Statistical Applications and Methods ◽

10.5351/ckss.2005.12.3.743 ◽

2005 ◽

Vol 12 (3) ◽

pp. 743-758

Author(s):

Young-Ju Kim

Keyword(s):

Penalized Likelihood ◽

Parameter Selection ◽

Smoothing Parameter ◽

Smoothing Parameter Selection

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Automatic smoothing parameter selection in non-parametric models for longitudinal data

Applied Stochastic Models and Data Analysis ◽

10.1002/(sici)1099-0747(199709/12)13:3/4<289::aid-asm323>3.0.co;2-# ◽

1997 ◽

Vol 13 (3-4) ◽

pp. 289-296

Author(s):

Kiros Berhane ◽

J. Sunil Rao

Keyword(s):

Longitudinal Data ◽

Parameter Selection ◽

Smoothing Parameter ◽

Parametric Models ◽

Smoothing Parameter Selection ◽

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Local weighted composite quantile estimation and smoothing parameter selection for nonparametric derivative function

Econometric Reviews ◽

10.1080/07474938.2019.1580947 ◽

2019 ◽

Vol 39 (3) ◽

pp. 215-233

Author(s):

Qichang Xie ◽

Qiankun Sun ◽

Junxian Liu

Keyword(s):

Parameter Selection ◽

Smoothing Parameter ◽

Quantile Estimation ◽

Derivative Function ◽

Smoothing Parameter Selection ◽

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Smoothing parameter selection for smoothing splines: a simulation study

Computational Statistics & Data Analysis ◽

10.1016/s0167-9473(02)00159-7 ◽

2003 ◽

Vol 42 (1-2) ◽

pp. 139-148 ◽

Author(s):

Thomas C.M. Lee

Keyword(s):

Simulation Study ◽

Smoothing Splines ◽

Parameter Selection ◽

Smoothing Parameter ◽

Smoothing Parameter Selection ◽

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Variance Estimation and Smoothing-Parameter Selection for Spline Regression

Smoothing and Regression - Wiley Series in Probability and Statistics ◽

10.1002/9781118150658.ch2 ◽

2012 ◽

pp. 19-41

Author(s):

Angelika van der Linde

Keyword(s):

Variance Estimation ◽

Parameter Selection ◽

Smoothing Parameter ◽

Spline Regression ◽

Smoothing Parameter Selection ◽

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Smoothing parameter selection in nonparametric regression using an improved kullback information criterion

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005. ◽

10.1109/isspa.2005.1581081 ◽

2006 ◽

Author(s):

M. Bekara ◽

B. Hafidi ◽

G. Fleury

Keyword(s):

Nonparametric Regression ◽

Information Criterion ◽

Parameter Selection ◽

Smoothing Parameter ◽

Smoothing Parameter Selection ◽

Kullback Information

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Robust smoothing: Smoothing parameter selection and applications to fluorescence spectroscopy

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2009.08.001 ◽

2010 ◽

Vol 54 (12) ◽

pp. 3131-3143 ◽

Author(s):

Jong Soo Lee ◽

Dennis D. Cox

Keyword(s):

Fluorescence Spectroscopy ◽

Parameter Selection ◽

Smoothing Parameter ◽

Smoothing Parameter Selection ◽

Robust Smoothing

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Smoothing parameter selection for smooth distribution functions

Journal of Statistical Planning and Inference ◽

10.1016/0378-3758(93)90068-h ◽

1993 ◽

Vol 35 (1) ◽

pp. 65-75 ◽

Author(s):

P. Sarda

Keyword(s):

Parameter Selection ◽

Distribution Functions ◽

Smoothing Parameter ◽

Smoothing Parameter Selection ◽

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Smoothing parameter selection methods for nonparametric regression with spatially correlated errors

Canadian Journal of Statistics ◽

10.1002/cjs.5550330208 ◽

2005 ◽

Vol 33 (2) ◽

pp. 279-295 ◽

Author(s):

Mario Francisco-Fernandez ◽

Jean D. Opsomer

Keyword(s):

Nonparametric Regression ◽

Parameter Selection ◽

Smoothing Parameter ◽

Correlated Errors ◽

Selection Methods ◽

Spatially Correlated ◽

Smoothing Parameter Selection ◽

Spatially Correlated Errors

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