Scalable interpretable learning for multi-response error-in-variables regression

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2020.104644 ◽

2020 ◽

Vol 179 ◽

pp. 104644

Author(s):

Jie Wu ◽

Zemin Zheng ◽

Yang Li ◽

Yi Zhang

Keyword(s):

Response Error ◽

Error In Variables

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Estimation of Risk and Time Preferences: Response Error, Heterogeneity, Adaptive Questionnaires, and Experimental Evidence from Mortgagers

SSRN Electronic Journal ◽

10.2139/ssrn.1655775 ◽

2010 ◽

Author(s):

Olivier Toubia ◽

Eric J. Johnson ◽

Theodoros Evgeniou ◽

Philippe Delquié

Keyword(s):

Experimental Evidence ◽

Time Preferences ◽

Response Error ◽

Estimation Of Risk

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Predicting Random Effects From Finite Population Clustered Samples With Response Error

Journal of the American Statistical Association ◽

10.1198/016214504000001718 ◽

2004 ◽

Vol 99 (468) ◽

pp. 1119-1130 ◽

Author(s):

Edward J Stanek ◽

Julio M Singer

Keyword(s):

Random Effects ◽

Finite Population ◽

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Deterministic global optimization for error-in-variables parameter estimation

AIChE Journal ◽

10.1002/aic.690480607 ◽

2002 ◽

Vol 48 (6) ◽

pp. 1192-1197 ◽

Author(s):

Chao-Yang Gau ◽

Mark A. Stadtherr

Keyword(s):

Global Optimization ◽

Parameter Estimation ◽

Deterministic Global Optimization ◽

Error In Variables

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Computational Package for Copolymerization Reactivity Ratio Estimation: Improved Access to the Error-in-Variables-Model

Processes ◽

10.3390/pr6010008 ◽

2018 ◽

Vol 6 (1) ◽

pp. 8 ◽

Author(s):

Alison Scott ◽

Alexander Penlidis

Keyword(s):

Reactivity Ratio ◽

Ratio Estimation ◽

Error In Variables

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Error-in-variables model of Malacca wind direction data with the von Mises distribution in southwest monsoon

Applied Mathematical Sciences ◽

10.12988/ams.2021.914521 ◽

2021 ◽

Vol 15 (9) ◽

pp. 471-479

Author(s):

Nurkhairany Amyra Mokhtar ◽

Basri Badyalina ◽

Kerk Lee Chang ◽

Fatin Farazh Ya'acob ◽

Ahmad Faiz Ghazali ◽

...

Keyword(s):

Wind Direction ◽

Southwest Monsoon ◽

Von Mises Distribution ◽

Error In Variables ◽

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$$\ell _1$$ ℓ 1 -regularized recursive total least squares based sparse system identification for the error-in-variables

SpringerPlus ◽

10.1186/s40064-016-3120-6 ◽

2016 ◽

Vol 5 (1) ◽

Author(s):

Jun-seok Lim ◽

Hee-Suk Pang

Keyword(s):

System Identification ◽

Least Squares ◽

Total Least Squares ◽

Error In Variables ◽

Sparse System ◽

Sparse System Identification

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Computation of the response-error-gradient of linear discrete filters

IEEE Transactions on Acoustics Speech and Signal Processing ◽

10.1109/tassp.1974.1162541 ◽

1974 ◽

Vol 22 (1) ◽

pp. 62-65 ◽

Author(s):

L. Willimann

Keyword(s):

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Error in Variables – Analysis of Covariance Structure

Statistical Analysis of Management Data ◽

10.1007/978-1-4419-1270-1_10 ◽

2009 ◽

pp. 253-293 ◽

Author(s):

Hubert Gatignon

Keyword(s):

Covariance Structure ◽

Analysis Of Covariance ◽

Error In Variables

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On the Criteria for Experimental Design in Nonlinear Error-In-Variables Models

Advances in Stochastic Simulation Methods ◽

10.1007/978-1-4612-1318-5_9 ◽

2000 ◽

pp. 153-163 ◽

Author(s):

Silvelyn Zwanzig

Keyword(s):

Experimental Design ◽

Nonlinear Error ◽

Error In Variables

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Response Error in a Web Survey and a Mailed Questionnaire: The Role of Cognitive Functioning

SSRN Electronic Journal ◽

10.2139/ssrn.2920616 ◽

2016 ◽

Author(s):

Martin Kroh ◽

Florin Winter

Keyword(s):

Cognitive Functioning ◽

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