One-Step Robust Estimation of Fixed-Effects Panel Data Models [PDF]
The panel-data regression models are frequently applied to micro-level data, which often suffer from data contamination, erroneous observations, or unobserved heterogeneity.
Cizek, P., Aquaro, M.
core
Robust regression rescues poor phylogenetic decisions. [PDF]
BMC Ecol EvolDuncan M, DeGiorgio M, Assis R, Adams R.
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Robust regression for optimal individualized treatment rules. [PDF]
Stat Med, 2019 Xiao W, Zhang HH, Lu W.
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Hybrid models of sparse and robust regression to solve heterogeneity problem in black pepper big data. [PDF]
Sci RepKumar PR +3 more
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Robust Learning from Bites for Data Mining [PDF]
Some methods from statistical machine learning and from robust statistics have two drawbacks. Firstly, they are computer-intensive such that they can hardly be used for massive data sets, say with millions of data points.
Christmann, Andreas +2 more
core
Leveraging Rank Information for Robust Regression Analysis: A Nomination Sampling Approach. [PDF]
Stat MedLoewen N, Jafari Jozani M.
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Robust Trend Estimation for AR(1) Disturbances [PDF]
We discuss the robust estimation of a linear trend if the noise follows an autoregressive process of first order. We find the ordinary repeated median to perform well except for negative correlations.
Fried, Roland, Gather, Ursula
core
Bootstrap estimation of the proportion of outliers in robust regression. [PDF]
Stat ComputHeng Q, Lange K.
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Robust Regression Techniques for Multiple Method Comparison and Transformation. [PDF]
Biom JDufey F.
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Obtaining artifact-corrected signals in fiber photometry via isosbestic signals, robust regression, and dF/F calculations. [PDF]
NeurophotonicsKeevers LJ, Jean-Richard-Dit-Bressel P.
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