Computational Statistics & Data Analysis
Robust model selection using fast and robust bootstrap
Computational Statistics & Data Analysis
Shrinkage and model selection with correlated variables via weighted fusion
Computational Statistics & Data Analysis
Robust PCA for skewed data and its outlier map
Computational Statistics & Data Analysis
Bayesian estimation and variable selection for single index models
Computational Statistics & Data Analysis
Covariate selection in mixture models with the censored response variable
Computational Statistics & Data Analysis
Variable selection in model-based clustering: A general variable role modeling
Computational Statistics & Data Analysis
Robust statistic for the one-way MANOVA
Computational Statistics & Data Analysis
A generalization of Tyler's M-estimators to the case of incomplete data
Computational Statistics & Data Analysis
Finding approximate solutions to combinatorial problems with very large data sets using BIRCH
Computational Statistics & Data Analysis
A variable selection method in principal canonical correlation analysis
Computational Statistics & Data Analysis
RelaxMCD: Smooth optimisation for the Minimum Covariance Determinant estimator
Computational Statistics & Data Analysis
Robust online signal extraction from multivariate time series
Computational Statistics & Data Analysis
A comparative study of robust designs for M-estimated regression models
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Robust smoothing: Smoothing parameter selection and applications to fluorescence spectroscopy
Computational Statistics & Data Analysis
Sparse CCA using a Lasso with positivity constraints
Computational Statistics & Data Analysis
Correcting MM estimates for "fat" data sets
Computational Statistics & Data Analysis
Testing for the generalized normal-Laplace distribution with applications
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Model selection strategies for identifying most relevant covariates in homoscedastic linear models
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Globally robust confidence intervals for simple linear regression
Computational Statistics & Data Analysis
Assessing when a sample is mostly normal
Computational Statistics & Data Analysis
Robust mixture modeling based on scale mixtures of skew-normal distributions
Computational Statistics & Data Analysis
Robust inference in generalized partially linear models
Computational Statistics & Data Analysis
Detecting influential observations in principal components and common principal components
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
A new approach for selecting the number of factors
Computational Statistics & Data Analysis
Robust exponential smoothing of multivariate time series
Computational Statistics & Data Analysis
Detecting influential observations in Kernel PCA
Computational Statistics & Data Analysis
Robust estimation of constrained covariance matrices for confirmatory factor analysis
Computational Statistics & Data Analysis
A goodness-of-fit test for Archimedean copula models in the presence of right censoring
Computational Statistics & Data Analysis
On the efficient computation of robust regression estimators
Computational Statistics & Data Analysis
Robust clusterwise linear regression through trimming
Computational Statistics & Data Analysis
Robust concentration graph model selection
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Rank tests and regression rank score tests in measurement error models
Computational Statistics & Data Analysis
Imputation of missing values for compositional data using classical and robust methods
Computational Statistics & Data Analysis
Fast robust estimation of prediction error based on resampling
Computational Statistics & Data Analysis
Outlier detection and least trimmed squares approximation using semi-definite programming
Computational Statistics & Data Analysis
Bayesian projection approaches to variable selection in generalized linear models
Computational Statistics & Data Analysis
An evolutionary algorithm for robust regression
Computational Statistics & Data Analysis
Bayesian variable selection and model averaging in the arbitrage pricing theory model
Computational Statistics & Data Analysis
Default Bayesian model determination methods for generalised linear mixed models
Computational Statistics & Data Analysis
Bayesian variable selection for Poisson regression with underreported responses
Computational Statistics & Data Analysis
Robust model selection with flexible trimming
Computational Statistics & Data Analysis
Combining regular and irregular histograms by penalized likelihood
Computational Statistics & Data Analysis
New approaches to compute Bayes factor in finite mixture models
Computational Statistics & Data Analysis
Frequentist Model Averaging with missing observations
Computational Statistics & Data Analysis
A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis
Computational Statistics & Data Analysis
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