Work

Probabilistic Soft Interventions in Conditional Gaussian Networks

Year: 2005

Type: conference-paper

Abstract: We introduce a general concept of probabilistic interventions in Bayesian networks. This generalizes deterministic interventions, which fix nodes to certain states. We propose “pushing” variables in the direction of target states without fixing them. We formalize this idea in a Bayesian framework based on Conditional Gaussian networks.

Source: MPG.PuRe (Max Planck Society)

Authors: Florian Markowetz, Steffen Grossmann, Rainer Spang

Institutions: Max Planck Society, Max Planck Institute for Molecular Genetics

Language: English

Topic: Bayesian Modeling and Causal Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Bundesministerium für Bildung und Forschung

Award: Verbundvorhaben BCB: Projekte MPIMG - Nachwuchsgruppe 'Computational Diagnostics' und 'Kinetische Modellierung'

OpenAlex ID: W65185578

FWCI: 1.251

Cites: 20

Cited by: 23

Related to: 10