Bayesian additive regression trees (BART) is a semi-parametric regression model offering state-of-the-art performance on out-of-sample prediction. Despite this success, standard implementations of BAR

DataCite Commons2023-07-26 更新90

Replication Data for: Causal Inference with Interference and Noncompliance in Two-Stage Randomized Experiments.

因果推断

随机实验

In many social science experiments, subjects often interact with each other and as a result one unit's treatment influences the outcome of another unit. Over the last decade, a significant progress ha

DataONE2020-06-16 更新100

Narratives about perspectives and practices of teachers who teach Statistics from a professional development process

教师培训

统计教学

Abstract The purpose of this study is to know the perspectives and practices of two Mathematics teachers who work in the last years of Elementary School, before and after a professional development pr

DataCite Commons2022-08-30 更新100

Replication Data for: A First Course in Causal Inference

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