A robust knockoff filter for sparse regression analysis of microbiome compositional data
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1613-9658
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A robust knockoff filter for sparse regression analysis of microbiome compositional data ; day:18 ; month:8 ; year:2022 ; pages:1-18
Computational statistics ; (18.8.2022), 1-18
- Creator
-
Monti, Gianna Serafina
Filzmoser, Peter
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s00180-022-01268-7
- URN
-
urn:nbn:de:101:1-2022110512312960234035
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:23 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Monti, Gianna Serafina
- Filzmoser, Peter
- SpringerLink (Online service)
Other Objects (12)
Bayesian compositional regression with microbiome features via variational inference
Robust logistic zero-sum regression for microbiome compositional data
Zero-Inflated Generalized Dirichlet Multinomial (ZIGDM) Regression Model for Microbiome Compositional Data
Sparse quantile regression
Bayesian Variable Shrinkage and Selection in Compositional Data Regression: Application to Oral Microbiome
Regression Models for Compositional Data: General Log-Contrast Formulations, Proximal Optimization, and Microbiome Data Applications
Compositional zero-inflated network estimation for microbiome data
Sparse network asymptotics for logistic regression
It’s just a matter of perspective - tuning-insensitive and robust sparse regression for microbiome data
Testing mediation effect in high-dimensional compositional microbiome data
Robust regression with compositional covariates including cellwise outliers
Classical and Robust Regression Analysis with Compositional Data
Bayesian compositional regression with microbiome features via variational inference
Robust logistic zero-sum regression for microbiome compositional data
Zero-Inflated Generalized Dirichlet Multinomial (ZIGDM) Regression Model for Microbiome Compositional Data
Sparse quantile regression
Bayesian Variable Shrinkage and Selection in Compositional Data Regression: Application to Oral Microbiome
Regression Models for Compositional Data: General Log-Contrast Formulations, Proximal Optimization, and Microbiome Data Applications
Compositional zero-inflated network estimation for microbiome data
Sparse network asymptotics for logistic regression
It’s just a matter of perspective - tuning-insensitive and robust sparse regression for microbiome data
Testing mediation effect in high-dimensional compositional microbiome data
Robust regression with compositional covariates including cellwise outliers
Classical and Robust Regression Analysis with Compositional Data
Bayesian compositional regression with microbiome features via variational inference
Robust logistic zero-sum regression for microbiome compositional data
Zero-Inflated Generalized Dirichlet Multinomial (ZIGDM) Regression Model for Microbiome Compositional Data
Sparse quantile regression
Bayesian Variable Shrinkage and Selection in Compositional Data Regression: Application to Oral Microbiome
Regression Models for Compositional Data: General Log-Contrast Formulations, Proximal Optimization, and Microbiome Data Applications
Compositional zero-inflated network estimation for microbiome data
Sparse network asymptotics for logistic regression
It’s just a matter of perspective - tuning-insensitive and robust sparse regression for microbiome data
Testing mediation effect in high-dimensional compositional microbiome data
Robust regression with compositional covariates including cellwise outliers