Results 11 to 20 of about 1,239,696 (252)
Distilling noise characteristics and prior expectations in multisensory causal inference. [PDF]
PLoS Comput BiolThe perception of the external world relies on integrating information from multiple sensory modalities. To do this effectively, the brain must determine whether sensory signals come from a common source and, if so, combine them to reduce perceptual ...
Liu S, Holland T, Ma WJ, Acerbi L.
europepmc +2 more sources
Deep Learning for Causal Inference
, 2023 This primer systematizes the emerging literature on causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction on building and optimizing custom deep learning models and shows how to adapt ...
Tim Sainburg +5 more
core +1 more source
, 2021 y0 (pronounced "why not?") is for causal inference in ...
Jeremy Zucker +2 more
core +1 more source
Estimating marginal treatment effects under unobserved group heterogeneity
Journal of Causal Inference, 2022 This article studies the treatment effect models in which individuals are classified into unobserved groups based on heterogeneous treatment rules. By using a finite mixture approach, we propose a marginal treatment effect (MTE) framework in which the ...
Hoshino Tadao, Yanagi Takahide
doaj +1 more source
A First Course in Causal Inference [PDF]
, 2023 I developed the lecture notes based on my ``Causal Inference'' course at the University of California Berkeley over the past seven years. Since half of the students were undergraduates, my lecture notes only required basic knowledge of probability theory,
Peng Ding
semanticscholar +1 more source
y0-causal-inference/y0: Implementation of ID* and IDC*
, 2023 After a very long (almost two year) road, we have implemented a complete ID and IDC algorithm. This is based on Shpitser and Pearl, 2012, however it fixes several issues with the original algorithm returning incorrect results.
Jeremy Zucker +2 more
core +1 more source
sheaduarte/Multisensory-Causal-Inference-VR:
, 2022 Multisensory causal inference VR task made in Unity for Vive Pro Eye ...
Shea E. Duarte
core +1 more source
The MR-Base platform supports systematic causal inference across the human phenome
eLife, 2018 Results from genome-wide association studies (GWAS) can be used to infer causal relationships between phenotypes, using a strategy known as 2-sample Mendelian randomization (2SMR) and bypassing the need for individual-level data.
G. Hemani +19 more
semanticscholar +1 more source
Causal Inference in Recommender Systems: A Survey and Future Directions [PDF]
ACM Trans. Inf. Syst., 2022 Recommender systems have become crucial in information filtering nowadays. Existing recommender systems extract user preferences based on the correlation in data, such as behavioral correlation in collaborative filtering, feature-feature, or feature ...
Chen Gao +5 more
semanticscholar +1 more source
Causal inference from cross-sectional earth system data with geographical convergent cross mapping
Nature Communications, 2023 Causal inference in complex systems has been largely promoted by the proposal of some advanced temporal causation models. However, temporal models have serious limitations when time series data are not available or present insignificant variations, which
Bingbo Gao +7 more
semanticscholar +1 more source