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Titel:

Interaction Models and Generalized Score Matching for Compositional Data

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Yu, Shiqing; Drton, Mathias; Shojaie, Ali
Seitenangaben Beitrag:
1-25
Abstract:
Applications such as the analysis of microbiome data have led to renewed interest in statistical methods for compositional data, i.e., data in the form of relative proportions. In particular, there is considerable interest in modelling interactions among such proportions. To this end we propose a class of exponential family models that accommodate arbitrary patterns of pairwise interaction. Special cases include Dirichlet distributions as well as Aitchison’s additive logistic normal distribution...     »
Stichworte:
Compositional data, Graphical model, High-dimensional statistics, Interaction, Sparsity
Dewey-Dezimalklassifikation:
510 Mathematik
Herausgeber:
MLResearchPress
Kongress- / Buchtitel:
Proceedings of Machine Learning Research
Kongress / Zusatzinformationen:
The 2nd Learning on Graphs Conference
Band / Teilband / Volume:
231
Datum der Konferenz:
November 27 - November30, 2023
Publikationsdatum:
01.04.2024
Jahr:
2024
Quartal:
2. Quartal
Jahr / Monat:
2024-04
Monat:
Apr
Seiten:
1-25
E-ISBN:
2640-3498
Sprache:
en
Erscheinungsform:
WWW
WWW:
Proceedings of Machine Learning Research
Semester:
SS 24
TUM Einrichtung:
Lehrstuhl für Mathematische Statistik
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