Robust group variable screening based on maximum Lq-likelihood estimation.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9212
Abstract: Variable screening plays an important role in ultra-high-dimensional data analysis. Most of the previous analyses have focused on individual predictor screening using marginal correlation or other rank-based techniques. When predictors can be naturally grouped, the… read more here.
Keywords: likelihood estimation; estimation; variable screening; maximum likelihood ... See more keywords
A Model-free Variable Screening Method Based on Leverage Score
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2021.1918554
Abstract: With rapid advances in information technology, massive datasets are collected in all fields of science, such as biology, chemistry, and social science. Useful or meaningful information is extracted from these data often through statistical learning… read more here.
Keywords: based leverage; variable screening; method; model ... See more keywords
A screening method for ultra-high dimensional features with overlapped partition structures
Sign Up to like & getrecommendations! Published in 2022 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802221129043
Abstract: Ultra-high dimensional data, such as gene and neuroimaging data, are becoming increasingly important in biomedical science. Identifying important biomarkers from the huge number of features can help us gain better insights into further researches. Variable… read more here.
Keywords: dimensional features; ultra high; overlapped partition; variable screening ... See more keywords
Prior Knowledge Guided Ultra-high Dimensional Variable Screening with Application to Neuroimaging Data.
Sign Up to like & getrecommendations! Published in 2022 at "Statistica Sinica"
DOI: 10.5705/ss.202020.0427
Abstract: Variable screening is a powerful and efficient tool for dimension reduction under ultrahigh dimensional settings. However, most existing methods overlook useful prior knowledge in specific applications. In this work, from a Bayesian modeling perspective, we… read more here.
Keywords: prior knowledge; knowledge guided; variable screening; high dimensional ... See more keywords