Regression Discontinuity Design (RDD) is a powerful statistical method used in political and policy analysis to infer causal relationships from observational data. This approach is particularly ...
[Break Through Tech: AI Studio Project] Unwrapping Customer Delight: Using Frequentist and Bayesian Regression Models to Optimize Surprise Gift Strategies ...
Mean discontinuity was calculated using a novel automated algorithm designed for analysis of the raw EEG signal. Results Of 49 eligible infants, 17 (35%) had MR images predictive of death or severe ...
The 30A Program in Vietnam, evaluated by the Vietnam Institute of Economics and the World Bank, achieved limited success in ...
Sixty-eight percent of Japanese respondents viewed last year’s record-breaking number of foreign visitors to Japan positively ...
In an occasional series, professor Philip Cowley offers a political science lesson for The House’s readers. This week: votes ...
Regions of Germany that were under Roman rule approximately 2,000 years ago exhibit higher levels of psychological well-being ...
A recent study published in Current Research in Ecological and Social Psychology has shown that Roman rule, which occurred over two thousand years ago, continues to leave deep marks on regions in ...
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
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