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12/18/2020
Inferring the Direction of a Causal Link and Estimating Its Effect via a Bayesian Mendelian Randomization Approach
The use of genetic variants as instrumental variables - an approach know...
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12/18/2020
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
The recent availability of huge, many-dimensional data sets, like those ...
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11/03/2020
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
Shapley values underlie one of the most popular model-agnostic methods w...
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09/03/2019
Large-Scale Gene Network Causal Inference with Bayes Factors of Covariance Structures (BFCS)
Gene regulatory networks play a crucial role in controlling an organism'...
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09/18/2018
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks
Gene regulatory networks play a crucial role in controlling an organism'...
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06/12/2018
A Novel Bayesian Approach for Latent Variable Modeling from Mixed Data with Missing Values
We consider the problem of learning parameters of latent variable models...
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04/06/2017