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Radcliffe
Radcliffe
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New algorithm improves heterogeneous treatment effect estimation
Researchers have developed a new algorithm called Significance-First Splitting that aims to improve the estimation of heterogeneous treatment effects. This method combines significance-based splitting with honest sample…
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Test-Driven Data Analysis book chapter on constraint discovery now free
The fifth chapter of the book "Test-Driven Data Analysis" by Radcliffe is now available online for free. This chapter, titled "Constraint Discovery and Validation," focuses on automatically generating and using constrai…