Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Castelletti, Federico"'
Autor:
Castelletti, Federico, Ferrini, Laura
Quantifying causal effects of exposures on outcomes, such as a treatment and a disease respectively, is a crucial issue in medical science for the administration of effective therapies. Importantly, any related causal analysis should account for all
Externí odkaz:
http://arxiv.org/abs/2409.00453
Autor:
Castelletti, Federico
Estimating dependence relationships between variables is a crucial issue in many applied domains, such as medicine, social sciences and psychology. When several variables are entertained, these can be organized into a network which encodes their set
Externí odkaz:
http://arxiv.org/abs/2312.13168
We consider the problem of learning causal Directed Acyclic Graphs (DAGs) using combinations of observational and interventional experimental data. Current methods tailored to this setting assume that interventions either destroy parent-child relatio
Externí odkaz:
http://arxiv.org/abs/2312.00509
We consider a a collection of categorical random variables. Of special interest is the causal effect on an outcome variable following an intervention on another variable. Conditionally on a Directed Acyclic Graph (DAG), we assume that the joint law o
Externí odkaz:
http://arxiv.org/abs/2306.16068
Autor:
Castelletti, Federico, Consonni, Guido
Graphical models based on Directed Acyclic Graphs (DAGs) are widely used to answer causal questions across a variety of scientific and social disciplines. However, observational data alone cannot distinguish in general between DAGs representing the s
Externí odkaz:
http://arxiv.org/abs/2206.00755
Directed Acyclic Graphs (DAGs) provide a powerful framework to model causal relationships among variables in multivariate settings; in addition, through the do-calculus theory, they allow for the identification and estimation of causal effects betwee
Externí odkaz:
http://arxiv.org/abs/2201.12003
Publikováno v:
In Journal of Multivariate Analysis September 2024 203
Autor:
Castelletti, Federico, Consonni, Guido
Our motivation stems from current medical research aiming at personalized treatment using a molecular-based approach. The broad goal is to develop a more precise and targeted decision making process, relative to traditional treatments based primarily
Externí odkaz:
http://arxiv.org/abs/2106.03252
Autor:
Castelletti, Federico, Peluso, Stefano
Learning the structure of dependence relations between variables is a pervasive issue in the statistical literature. A directed acyclic graph (DAG) can represent a set of conditional independences, but different DAGs may encode the same set of relati
Externí odkaz:
http://arxiv.org/abs/2102.06437
Autor:
Castelletti, Federico, Consonni, Guido
We consider a binary response which is potentially affected by a set of continuous variables. Of special interest is the causal effect on the response due to an intervention on a specific variable. The latter can be meaningfully determined on the bas
Externí odkaz:
http://arxiv.org/abs/2009.04795