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Research article

First published 2022-7

A novel joint sparse regularization model to structural damage identification by the generalized fused lasso penalty

Rongpeng Li, Fengdan Wang, Qingtian Deng [...]

Advances in Structural Engineering

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Research article

First published 2011-10

Variable selection in partially linear wavelet models

Huijuan Ding, Gerda Claeskens, Maarten Jansen

Statistical Modelling

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Research article

First published 2017-6

Subject-specific modelling of paired comparison data: A lasso-type penalty approach

Gunther Schauberger, Gerhard Tutz

Statistical Modelling

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Research article

First published 2015-4

Detection of Differential Item Functioning Using the Lasso Approach

David Magis, Francis Tuerlinckx, Paul De Boeck

Journal of Educational and Behavioral Statistics

Open access

Research article

First published 2026

Regularization and model selection for ordinal-on-ordinal regression with applications to food products’ testing and survey data

Aisouda Hoshiyar, Laura H. Gertheiss, Jan Gertheiss

Statistical Modelling

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Research article

First published 2020-5

The Spike-and-Slab Lasso regression modeling with compositional covariates: An application on Brazilian children malnutrition data

Francisco Louzada, Taciana KO Shimizu, Adriano K Suzuki

Statistical Methods in Medical Research

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Research article

First published 2019-04

Optimism Bias Correction in Omics Studies with Big Data: Assessment of Penalized Methods on Simulated Data

Yubing Zhao, Emmanuelle Dantony, Pascal Roy

OMICS: A Journal of Integrative Biology

Open access

Research article

First published 2023-1

autoRasch: An R Package to Do Semi-Automated Rasch Analysis

Feri Wijayanto, Ioan Gabriel Bucur, Perry Groot [...]

Applied Psychological Measurement

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Research article

First published 2015-10

Selection and Fusion of Categorical Predictors with L 0 -Type Penalties

Margret-Ruth Oelker, Wolfgang Pößnecker, Gerhard Tutz

Statistical Modelling

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Research article

First published 2022-12

A regularized hidden Markov model for analyzing the ‘hot shoe’ in football

Marius Ötting, Groll Andreas

Statistical Modelling

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