Variable selection in regression with compositional covariates

By Wei Lin, Pixu Shi, Rui Feng, Hongzhe Li. 2014

251 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/6b5eafe3e33cf9548bb410dbc264fd8d1c7efeec

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Richard Bonneau
2. Christian L. Müller
3. Hongzhe Li
4. Anru R. Zhang
5. Pixu Shi

Citations in the corpus

• Sparse and Compositionally Robust Inference of Microbial Ecological Networks (2014, methodology): “Inference of taxa responses from 16S rRNA gene sequencing datasets could be improved by modeling this correlation structure through incorporation of the inverse covariance matrix into the statistical model [66].”
• Regression Analysis for Microbiome Compositional Data (2016, methodology): “The general results presented in this paper can also be used for statistical inference for the log-contrast model considered in Lin et al. (2014).”