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Regression models for compositional data: General log-contrast
  formulations, proximal optimization, and microbiome data applications

Regression models for compositional data: General log-contrast formulations, proximal optimization, and microbiome data applications

4 March 2019
P. Combettes
Christian L. Müller
ArXiv (abs)PDFHTML

Papers citing "Regression models for compositional data: General log-contrast formulations, proximal optimization, and microbiome data applications"

3 / 3 papers shown
Title
Three approaches to supervised learning for compositional data with
  pairwise logratios
Three approaches to supervised learning for compositional data with pairwise logratios
G. Coenders
M. Greenacre
31
12
0
17 Nov 2021
Instrumental Variable Estimation for Compositional Treatments
Instrumental Variable Estimation for Compositional Treatments
Elisabeth Ailer
Christian L. Müller
Niki Kilbertus
CML
34
4
0
21 Jun 2021
The role of exchangeability in causal inference
The role of exchangeability in causal inference
O. Saarela
D. Stephens
E. Moodie
124
7
0
02 Jun 2020
1