Introducing LASSO-type penalisation to generalised joint regression modelling for count data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1863-818X

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Introducing LASSO-type penalisation to generalised joint regression modelling for count data ; day:12 ; month:11 ; year:2021 ; pages:1-25
Advances in statistical analysis ; (12.11.2021), 1-25

Classification: Wirtschaft

Creator: Wurp, Hendrik van der
Groll, Andreas

Contributor: SpringerLink (Online service)

DOI: 10.1007/s10182-021-00425-5

URN: urn:nbn:de:101:1-2022012317471215150825

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:23 AM CEST

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Wurp, Hendrik van der
Groll, Andreas
SpringerLink (Online service)

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Introducing LASSO-type penalisation to generalised joint regression modelling for count data

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Comparison of Lasso and Stepwise Regression in Psychological Data

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Introducing LASSO-type penalisation to generalised joint regression modelling for count data

Generalised joint regression for count data: a penalty extension for competitive settings

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Structured count data regression

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Model selection in generalised structured additive regression models

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Model selection in generalised structured additive regression models

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Testing for zero-modification in count regression models

Interactions between latent variables in count regression models

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Pivotal estimation via square-root lasso in nonparametric regression

Comparison of Lasso and Stepwise Regression in Psychological Data

Artikel

Introducing LASSO-type penalisation to generalised joint regression modelling for count data

Generalised joint regression for count data: a penalty extension for competitive settings

Arbeitspapier

Structured count data regression

Hochschulschrift

Model selection in generalised structured additive regression models

Hochschulschrift

Model selection in generalised structured additive regression models

Quantile lasso regression for single index model

Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent

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Arbeitspapier

Testing for zero-modification in count regression models

Interactions between latent variables in count regression models

Arbeitspapier

Pivotal estimation via square-root lasso in nonparametric regression

Comparison of Lasso and Stepwise Regression in Psychological Data

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Introducing LASSO-type penalisation to generalised joint regression modelling for count data

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Other Objects (12)

Introducing LASSO-type penalisation to generalised joint regression modelling for count data

Generalised joint regression for count data: a penalty extension for competitive settings

Structured count data regression

Model selection in generalised structured additive regression models

Model selection in generalised structured additive regression models

Quantile lasso regression for single index model

Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent

LASSO type penalized spline regression for binary data

Testing for zero-modification in count regression models

Interactions between latent variables in count regression models

Pivotal estimation via square-root lasso in nonparametric regression

Comparison of Lasso and Stepwise Regression in Psychological Data

Introducing LASSO-type penalisation to generalised joint regression modelling for count data

Generalised joint regression for count data: a penalty extension for competitive settings

Structured count data regression

Model selection in generalised structured additive regression models

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Quantile lasso regression for single index model

Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent

LASSO type penalized spline regression for binary data

Testing for zero-modification in count regression models

Interactions between latent variables in count regression models

Pivotal estimation via square-root lasso in nonparametric regression

Comparison of Lasso and Stepwise Regression in Psychological Data

Introducing LASSO-type penalisation to generalised joint regression modelling for count data

Generalised joint regression for count data: a penalty extension for competitive settings

Structured count data regression

Model selection in generalised structured additive regression models

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Quantile lasso regression for single index model

Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent

LASSO type penalized spline regression for binary data

Testing for zero-modification in count regression models

Interactions between latent variables in count regression models

Pivotal estimation via square-root lasso in nonparametric regression

Comparison of Lasso and Stepwise Regression in Psychological Data

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