Eric V. Strobl

1. Approximate Kernel-based Conditional Independence Tests for Fast\n Non-Parametric Causal Discovery
   2017/02/13 by Eric V. Strobl, Strobl, Eric V., Kun Zhang +3 · 10 citations
   Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Geochemistry and Geologic Mapping #Machine Learning (stat.ML) #Methodology (stat.ME)
2. Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model
   2022/05/25 by Eric V. Strobl, Thomas A. Lasko, Strobl, Eric V. +1 · 5 citations
   Computer Science · Mathematics · #Applications (stat.AP) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Methodology (stat.ME) #Statistical Methods and Inference
3. Why Do Probabilistic Clinical Models Fail To Transport Between Sites?
   2023/11/08 by Thomas A. Lasko, Eric V. Strobl, Lasko, Thomas A. +3 · 6 citations
   Computer Science · Economics, Econometrics and Finance · #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Performance (cs.PF)
4. Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion
   2017/05/25 by Eric V. Strobl, Shyam Visweswaran, Strobl, Eric V. +3 · 1 citation
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference
5. Sample-Specific Root Causal Inference with Latent Variables
   2022/10/27 by Eric V. Strobl, Thomas A. Lasko, Strobl, Eric V. +1 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference