Pensar, Johan

1. Towards Scalable Bayesian Learning of Causal DAGs
   2020/09/30 by Jussi Viinikka, Antti Hyttinen, Viinikka, Jussi +5 · 3 citations
   Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Census and Population Estimation #FOS: Computer and information sciences #Machine Learning (cs.LG) #Statistical Methods and Bayesian Inference
2. Recovery and inference of causal effects with sequential adjustment for confounding and attrition
   2024/01/30 by Johan de Aguas, de Aguas, Johan, Johan Pensar +5 · 2 citations
   Mathematics · #62A09 #62D20 #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME)
3. The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference
   2025/02/14 by Johan de Aguas, de Aguas, Johan, Sebastian Krumscheid +5 · 2 citations
   Decision Sciences · #Forecasting Techniques and Applications