Search Results - "Computational statistics & data analysis"

Journal Article

Robust smoothing of gridded data in one and higher dimensions with missing values

by Garcia, Damien Published in Computational statistics & data analysis (2010)

“...A fully automated smoothing procedure for uniformly sampled datasets is described. The algorithm, based on a penalized least squares method, allows fast...”

Journal Article

A general class of zero-or-one inflated beta regression models

by Ospina, Raydonal Ferrari, Silvia L.P Published in Computational statistics & data analysis (01.06.2012)

“...This paper proposes a general class of regression models for continuous proportions when the data contain zeros or ones. The proposed class of models assumes...”

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Journal Article

Algorithms and applications for approximate nonnegative matrix factorization

by Berry, Michael W Browne, Murray Langville, Amy N Pauca, V. Paul Plemmons, Robert J Published in Computational statistics & data analysis (2007)

“...The development and use of low-rank approximate nonnegative matrix factorization (NMF) algorithms for feature extraction and identification in the fields of...”

Journal Article

Practical variable selection for generalized additive models

by Marra, Giampiero Wood, Simon N Published in Computational statistics & data analysis (2011)

“...The problem of variable selection within the class of generalized additive models, when there are many covariates to choose from but the number of predictors...”

Journal Article

Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap

by Kim, Ji-Hyun Published in Computational statistics & data analysis (2009)

“...We consider the accuracy estimation of a classifier constructed on a given training sample. The naive resubstitution estimate is known to have a downward bias...”

Journal Article

Generalized beta-generated distributions

by Alexander, Carol Cordeiro, Gauss M Ortega, Edwin M.M Sarabia, José María Published in Computational statistics & data analysis (01.06.2012)

“...This article introduces generalized beta-generated (GBG) distributions. Sub-models include all classical beta-generated, Kumaraswamy-generated and...”

Journal Article

Optimal combination forecasts for hierarchical time series

by Hyndman, Rob J Ahmed, Roman A Athanasopoulos, George Shang, Han Lin Published in Computational statistics & data analysis (2011)

“...In many applications, there are multiple time series that are hierarchically organized and can be aggregated at several different levels in groups based on...”

Journal Article

PLS path modeling

by Tenenhaus, Michel Vinzi, Vincenzo Esposito Chatelin, Yves-Marie Lauro, Carlo Published in Computational statistics & data analysis (2005)

“...A presentation of the Partial Least Squares approach to Structural Equation Modeling (or PLS Path Modeling) is given together with a discussion of its...”

Journal Article

Empirical characterization of random forest variable importance measures

by Archer, Kellie J Kimes, Ryan V Published in Computational statistics & data analysis (2008)

“...Microarray studies yield data sets consisting of a large number of candidate predictors (genes) on a small number of observations (samples). When interest lies...”

Journal Article

An adjusted boxplot for skewed distributions

by Hubert, M Vandervieren, E Published in Computational statistics & data analysis (2008)

“...The boxplot is a very popular graphical tool for visualizing the distribution of continuous unimodal data. It shows information about the location, spread,...”

Journal Article

An improved approximation to the precision of fixed effects from restricted maximum likelihood

by Kenward, Michael G Roger, James H Published in Computational statistics & data analysis (2009)

“...An approximate small sample variance estimator for fixed effects from the multivariate normal linear model, together with appropriate inference tools based on...”

Journal Article

Relaxed Lasso

by Meinshausen, Nicolai Published in Computational statistics & data analysis (2007)

“...The Lasso is an attractive regularisation method for high-dimensional regression. It combines variable selection with an efficient computational procedure...”

Journal Article

Selecting the number of components in principal component analysis using cross-validation approximations

by Josse, Julie Husson, François Published in Computational statistics & data analysis (01.06.2012)

“...Cross-validation is a tried and tested approach to select the number of components in principal component analysis (PCA), however, its main drawback is its...”

Journal Article

Fuzzy data treated as functional data: A one-way ANOVA test approach

by González-Rodríguez, Gil Colubi, Ana Gil, María Ángeles Published in Computational statistics & data analysis (01.04.2012)

“...The use of the fuzzy scale of measurement to describe an important number of observations from real-life attributes or variables is first explored. In contrast...”

Journal Article

Sharpening Wald-type inference in robust regression for small samples

by Koller, Manuel Stahel, Werner A Published in Computational statistics & data analysis (2011)

“...The datasets used in statistical analyses are often small in the sense that the number of observations n is less than 5 times the number of parameters p to be...”

Journal Article

Measuring the prediction error. A comparison of cross-validation, bootstrap and covariance penalty methods

by Borra, Simone Di Ciaccio, Agostino Published in Computational statistics & data analysis (2010)

“...The estimators most widely used to evaluate the prediction error of a non-linear regression model are examined. An extensive simulation approach allowed the...”

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