Maximum entropy in the mean methods in propensity score matching for interval and noisy data

In this paper, we propose maximum entropy in the mean methods for propensity score matching classification problems. We provide a new methodological approach and estimation algorithms to handle explicitly cases when data is available: (i) in interval form; (ii) with bounded measurement or observatio...

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Detalles Bibliográficos
Autores Principales: Smale, A., Bagdadli, S., Cotton, R., Dello Russo, S., Dickmann, M., Dysvik, A., Gianecchini, M., Ka¿e, R., Lazarova, M., Astrid, R., Rozo, P., Verbruggen, M.
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: 2020
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