https://plato.stanford.edu/archives/sum2023/entries/causal-models/topics.html
Causal Models Supplement 3. Further Topics in Causal Inference (Stanford Encyclopedia of...
causal modelsfurther topicssupplement
https://arxiv.org/abs/2512.07796?ref=gatodo.com
[2512.07796] Large Causal Models from Large Language Models
Abstract page for arXiv paper 2512.07796: Large Causal Models from Large Language Models
causal modelslargelanguage
https://uwspace.uwaterloo.ca/items/0b0a29ce-8d27-4eb7-9052-e59fcef6ce24
Causal Models for a Quantum World
Quantum mechanics has achieved unparalleled success as an operational theory, describing a wide range of experiments to remarkable accuracy. However, the...
causal modelsquantumworld
https://eric.ed.gov/?id=EJ1025289
ERIC - EJ1025289 - Counterfactuals and Causal Models: Introduction to the Special Issue, Cognitive...
Judea Pearl won the 2010 Rumelhart Prize in computational cognitive science due to his seminal contributions to the development of Bayes nets and causal Bayes...
causal models
https://academicworks.cuny.edu/gc_etds/4828/
"Actual Causation: Apt Causal Models and Causal Relativism" by Jennifer R. McDonald
This dissertation begins by addressing the question of when a causal model is apt for deciding questions of actual causation with respect to some target...
causal modelsby jenniferactualcausationapt
https://plato.stanford.edu/archives/spr2023/entries/causal-models/
Causal Models (Stanford Encyclopedia of Philosophy/Spring 2023 Edition)
encyclopedia of philosophycausal modelsstanfordspringedition
https://is.mpg.de/de/publications/petbaupfi20
Causal Models for Dynamical Systems | MPI-IS
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to...
causal modelsdynamical systemsmpi
https://plato.stanford.edu/archives/spr2021/entries/causal-models/
Causal Models (Stanford Encyclopedia of Philosophy/Spring 2021 Edition)
encyclopedia of philosophycausal modelsstanfordspringedition
https://www.iam.ubc.ca/events/event/hidden-variables-in-linear-causal-models/
Hidden Variables in Linear Causal Models - Institute of Applied Mathematics
Identifying causal relationships between random variables from observational data is an important problem in many areas of data science. The presence of hidden...
hidden variablescausal modelslinearinstituteapplied
https://wsdm26.causalbench.org/
WSDM Workshop on Benchmarking Causal Models (CausalBench'26)
causal modelsworkshopbenchmarking
https://pure.psu.edu/en/publications/on-learning-causal-models-from-relational-data/
On learning causal models from relational data - Penn State
causal modelslearningrelationaldatapenn
https://is.mpg.de/publications/ormaniecetal25
Standardizing Structural Causal Models | MPI-IS
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to...
causal modelsstructuralmpi
https://pubmed.ncbi.nlm.nih.gov/10955409/
Marginal structural models to estimate the causal effect of zidovudine on the survival of...
Standard methods for survival analysis, such as the time-dependent Cox model, may produce biased effect estimates when there exist time-dependent confounders...
structural models
https://arxiv.org/abs/2506.18141v2
[2506.18141v2] Sparse Feature Coactivation Reveals Causal Semantic Modules in Large Language Models
Abstract page for arXiv paper 2506.18141v2: Sparse Feature Coactivation Reveals Causal Semantic Modules in Large Language Models
https://par.nsf.gov/biblio/10232576-causal-network-models-sars-cov-expression-aging-identify-candidates-drug-repurposing
Causal network models of SARS-CoV-2 expression and aging to identify candidates for drug...
This page contains metadata information for the record with PAR ID 10232576
https://researchportalplus.anu.edu.au/en/publications/models-robustness-and-non-causal-explanation-a-foray-into-cogniti/
Models, robustness, and non-causal explanation: a foray into cognitive science and biology - The...
https://gsi.upm.es/en/component/jresearch/?view=publication&task=show&id=404
Publication - Exploiting Structural Knowledge using Network Description Language and Causal Models...
publicationexploitingstructuralknowledgeusing
https://pmc.ncbi.nlm.nih.gov/articles/PMC12633725/
AVERAGED PREDICTION MODELS (APM): IDENTIFYING CAUSAL EFFECTS IN CONTROLLED PRE-POST SETTINGS WITH...
To investigate causal impacts, many researchers use controlled pre-post designs that compare over-time differences between a population exposed to a policy...