Tag: estimating
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Estimating from No Data: Deriving a Continuous Score from Categories
Estimating from No Data: Deriving a Continuous Score from Categories A walk-through of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training. We use it to predict the severity of an infection on a scale based on information on just rough outcomes in previous cases.…
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Estimating Disease Rates Without Diagnosis
Estimating Disease Rates Without Diagnosis Immune genes as predictors of disease The post Estimating Disease Rates Without Diagnosis appeared first on Towards Data Science. David Wells Go to original source
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Estimating Product-Level Price Elasticities Using Hierarchical Bayesian
Estimating Product-Level Price Elasticities Using Hierarchical Bayesian Using one model to personalize ML results The post Estimating Product-Level Price Elasticities Using Hierarchical Bayesian appeared first on Towards Data Science. Derek Tran Go to original source
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RieszBoost: Gradient Boosting for Riesz Regression
RieszBoost: Gradient Boosting for Riesz Regression arXiv:2501.04871v1 Announce Type: new Abstract: Answering causal questions often involves estimating linear functionals of conditional expectations, such as the average treatment effect or the effect of a longitudinal modified treatment policy. By the Riesz representation theorem, these functionals can be expressed as the expected product of the conditional expectation…