首页|Study Findings on Machine Learning Are Outlined in Reports from Swiss Federal In stitute of Technology Zurich (ETH Zurich) (Ddml: Double/debiased Machine Learnin g In Stata)
Study Findings on Machine Learning Are Outlined in Reports from Swiss Federal In stitute of Technology Zurich (ETH Zurich) (Ddml: Double/debiased Machine Learnin g In Stata)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news originating from Zurich, Switze rland, by NewsRx correspondents, research stated, "In this article, we introduce a package, ddml, for double/debiased machine learning in Stata." Our news journalists obtained a quote from the research from the Swiss Federal I nstitute of Technology Zurich (ETH Zurich), "Estimators of causal parameters for five different econometric models are supported, allowing for flexible estimati on of causal effects of endogenous variables in settings with unknown functional forms or many exogenous variables. ddml is compatible with many existing superv ised machine learning programs in Stata. We recommend using double/debiased mach ine learning in combination with stacking estimation, which combines multiple ma chine learners into a final predictor." According to the news editors, the research concluded: "We provide Monte Carlo e vidence to support our recommendation."
ZurichSwitzerlandEuropeCyborgsEm erging TechnologiesMachine LearningSwiss Federal Institute of Technology Zur ich (ETH Zurich)
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