Baiocchi, Michael

1. Combining Observational and Experimental Datasets Using Shrinkage Estimators
   2020/02/16 by Evan T. R. Rosenman, Guillaume Basse, Rosenman, Evan +5 · 8 citations
   Mathematics · #Statistical Methods and Inference #Statistical Methods and Bayesian Inference #Advanced Causal Inference Techniques
2. A comparison of methods for model selection when estimating individual treatment effects
   2018/04/14 by Schuler, Alejandro, Baiocchi, Michael, Tibshirani, Robert +1 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Propensity Score Methods for Merging Observational and Experimental\n Datasets
   2018/04/20 by Evan T. R. Rosenman, Rosenman, Evan, Art B. Owen +5 · 2 citations
   Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Statistical Methods in Clinical Trials
4. Peer assessment enhances student learning
   2014/10/14 by Dennis L. Sun, Naftali Harris, Sun, Dennis L. +5 · 1 citation
   Mathematics · Social Sciences · #Statistics Education and Methodologies #Innovations in Educational Methods #Student Assessment and Feedback
5. When black box algorithms are (not) appropriate: a principled prediction-problem ontology
   2020/01/21 by Jordan Rodu, Michael Baiocchi, Rodu, Jordan +1 · 1 citation
   Computer Science · #Semantic Web and Ontologies #Data Visualization and Analytics #Rough Sets and Fuzzy Logic