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pro vyhledávání: '"Acharki, Naoufal"'
Conditional Average Treatment Effects (CATE) estimation is one of the main challenges in causal inference with observational data. In addition to Machine Learning based-models, nonparametric estimators called meta-learners have been developed to esti
Externí odkaz:
http://arxiv.org/abs/2205.14714
Probabilistic regression models typically use the Maximum Likelihood Estimation or Cross-Validation to fit parameters. These methods can give an advantage to the solutions that fit observations on average, but they do not pay attention to the coverag
Externí odkaz:
http://arxiv.org/abs/2106.05396
Publikováno v:
In Computational Statistics and Data Analysis February 2023 178
