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Found 4 papers, 1 papers with code
A Unified Combination Framework for Dependent Tests with Applications to Microbiome Association Studies
Compared to the existing $p$-value combination methods, including the vanilla Cauchy combination method, the proposed combination framework can handle the dependence accurately and utilizes the information efficiently to construct tests with accurate size and enhanced power.
Generalized Causal Tree for Uplift Modeling
In this paper, we propose a generalization of tree-based approaches to tackle multiple discrete and continuous-valued treatments.
Fisher's combined probability test for high-dimensional covariance matrices
Testing large covariance matrices is of fundamental importance in statistical analysis with high-dimensional data.
Inverse Moment Methods for Sufficient Forecasting using High-Dimensional Predictors
Assuming that the predictors affect the response through the latent factors, we propose to first conduct factor analysis and then apply sufficient dimension reduction on the estimated factors, to derive the reduced data for subsequent forecasting.
