Academic Journal

Bayesian inference of causal effects from observational data in Gaussian graphical models

التفاصيل البيبلوغرافية
العنوان: Bayesian inference of causal effects from observational data in Gaussian graphical models
المؤلفون: Castelletti F., Consonni G.
المساهمون: Castelletti, F, Consonni, G
بيانات النشر: GB
Oxford University Press
سنة النشر: 2021
المجموعة: Università degli Studi di Milano-Bicocca: BOA (Bicocca Open Archive)
مصطلحات موضوعية: causal inference, directed acyclic graph, graphical model, Markov equivalence cla, objective Baye, observational data
الوصف: We assume that multivariate observational data are generated from a distribution whose conditional independencies are encoded in a Directed Acyclic Graph (DAG). For any given DAG, the causal effect of a variable onto another one can be evaluated through intervention calculus. A DAG is typically not identifiable from observational data alone. However, its Markov equivalence class (a collection of DAGs) can be estimated from the data. As a consequence, for the same intervention a set of causal effects, one for each DAG in the equivalence class, can be evaluated. In this paper, we propose a fully Bayesian methodology to make inference on the causal effects of any intervention in the system. Main features of our method are: (a) both uncertainty on the equivalence class and the causal effects are jointly modeled; (b) priors on the parameters of the modified Cholesky decomposition of the precision matrices across all DAG models are constructively assigned starting from a unique prior on the complete (unrestricted) DAG; (c) an efficient algorithm to sample from the posterior distribution on graph space is adopted; (d) an objective Bayes approach, requiring virtually no user specification, is used throughout. We demonstrate the merits of our methodology in simulation studies, wherein comparisons with current state-of-the-art procedures turn out to be highly satisfactory. Finally we examine a real data set of gene expressions for Arabidopsis thaliana.
نوع الوثيقة: article in journal/newspaper
وصف الملف: STAMPA
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/32294233; info:eu-repo/semantics/altIdentifier/wos/WOS:000530916800001; volume:77; issue:1; firstpage:136; lastpage:149; numberofpages:14; journal:BIOMETRICS; https://hdl.handle.net/10281/503562; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85085080011
DOI: 10.1111/biom.13281
الاتاحة: https://hdl.handle.net/10281/503562
https://doi.org/10.1111/biom.13281
Rights: info:eu-repo/semantics/closedAccess
رقم الانضمام: edsbas.B43DA8E3
قاعدة البيانات: BASE