Robust multivariate least angle regression

QR Code

Robust multivariate least angle regression

The least angle regression selection (LARS) algorithms that use the classical sample means, variances, and correlations between the original variables are very sensitive to the presence of outliers and other contamination. To remedy this problem, a simple modification of this algorithm is to replace...

Full description

Bibliographic Details
Main Authors:	Uraibi, Hassan Sami, Midi, Habshah, Rana, Sohel
Format:	Article
Language:	English
Published:	Science Society of Thailand 2017
Online Access:	http://psasir.upm.edu.my/id/eprint/63147/ http://psasir.upm.edu.my/id/eprint/63147/1/Robust%20multivariate%20least%20angle%20regression.pdf

Similar Items

On robust bivariate and multivariate correlation coefficient
by: Uraibi, Hassan Sami, et al.
Published: (2019)

Selective overview of forward selection in terms of robust correlations
by: Uraibi, Hassan Sami, et al.
Published: (2017)

Robust stability best subset selection for autocorrelated data based on robust location and dispersion estimator
by: Uraibi, Hassan S., et al.
Published: (2015)

Robust regression imputation for analyzing missing data
by: Rana, Md. Sohel, et al.
Published: (2012)

The application of two stage robust weighted least squares and robust bootstrapping procedure on food expenditure data.
by: Midi , Habshah, et al.
Published: (2011)

Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
by: Uraibi, Hassan Sami
Published: (2009)

The performance of robust weighted least squares in the presence of outliers and heteroscedastic errors
by: Midi, Habshah, et al.
Published: (2009)

On a robust estimator in heteroscedastic regression model in the presence of outliers
by: Midi, Habshah, et al.
Published: (2013)

A robust rescaled moment test for normality in regression
by: Rana, Md. Sohel, et al.
Published: (2009)

Diagnostic robust generalised potentials based on GM6 to identify high leverage points in simultaneous regression model
by: Midi, Habshah, et al.
Published: (2017)

Linear regression model selection based on robust bootstrapping technique
by: Uraibi, Hassan Sami, et al.
Published: (2009)

Two-step robust estimator in heteroscedastic regression model in the presence of outliers
by: Midi, Habshah, et al.
Published: (2014)

Robust feasible generalized least squares: A remedial measures of heteroscedasticity
by: Rana, Sohel, et al.
Published: (2015)

The performance of Diagnostic-Robust F in the identification of multivariate outliers.
by: Midi, Habshah

Robust circular distance and its application in the identification of outliers in the simple circular regression model
by: Mahmood, Ehab A., et al.
Published: (2017)

Robust detection of outliers in both response and explanatory variables of the simple circular regression model
by: Rana, Sohel, et al.
Published: (2016)

Statistical significance of rank regression
by: Rana, Sohel, et al.
Published: (2013)

Robust multivariate control chart
by: Shabbak, Ashkan, et al.
Published: (2009)

Robust Diagnostics and Estimation in Heteroscedastic Regression Model in the Presence of Outliers
by: Rana, Md. Sohel
Published: (2010)

Fixed parameters Support Vector Regression for outlier detection
by: Rana, Sohel, et al.
Published: (2018)

Preliminary estimators for robust non-linear regression estimation
by: Midi, Habshah
Published: (1999)

Robust multivariate control charts to detect small shifts in mean.
by: Midi, Habshah, et al.
Published: (2011)

Collinearity diagnostics of binary logistic regression model
by: Midi, Habshah, et al.
Published: (2010)

Multivariate control chart based on robust estimator
by: Midi, Habshah, et al.
Published: (2009)

Multivariate control chart based on robust estimator
by: Habshah Midi,, et al.
Published: (2009)

The performance of k-means clustering method based on robust principal components
by: Kadom, Ahmed, et al.
Published: (2018)

Fast and robust diagnostic technique for the detection of high leverage points
by: Midi, Habshah, et al.
Published: (2020)

Modified least trimmed quantile regression to overcome effects of leverage points
by: Midi, Habshah, et al.
Published: (2020)

Robust bootstrap methods in logistic regression model
by: Ariffin, Syaiba Balqish, et al.
Published: (2012)

Dynamic robust bootstrap method based on LTS estimators
by: Midi, Habshah, et al.
Published: (2009)

Application of robust bootstrap techniques in logistic regression on intensive care unit data.
by: Midi, Habshah

Robust estimation of regression parameters with heteroscedastic errors in the presence of outliers (presented at the 8th WSEAS international conference on applied computer and computational science, Hangzhou China, 20-22 May 2009)
by: Midi, Habshah, et al.
Published: (2009)

Validation and performance analysis of binary logistic regression model
by: Rana, Md. Sohel, et al.
Published: (2010)

A hybrid technique for selecting support vector regression parameters based on a practical selection method and grid search procedure
by: Rana, Sohel, et al.
Published: (2016)

On the robust parameter estimation for linear model with autocorrelated errors
by: Midi, Habshah, et al.
Published: (2013)

Elastic net for single index support vector regression model
by: Dhhan, Waleed, et al.
Published: (2017)

Determinants of desire for children: a multinomial logistic regression approach
by: Rana, Md. Sohel, et al.
Published: (2013)

Detection of outliers and influential observations in binary logistic regression: An empirical study.
by: Sarkar, S.K., et al.
Published: (2011)

A new optimization scheme for robust design modeling with unbalanced data
by: Baba, Ishaq, et al.
Published: (2022)

The performance of a robust multistage estimator in nonlinear regression with heteroscedastic errors
by: Riazoshams, Hossein, et al.
Published: (2014)