251 citations · 487 across the 35 of their papers we have counts for
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math.ST2016
High-Dimensional Adaptive Function-on-Scalar Regression
Zhaohu Fan, Matthew Reimherr
Applications of functional data with large numbers of predictors have grown precipitously in recent years, driven, in part, by rapid advances in genotyping technologies. Given the…
math.ST2016★ 1 cited
The Function-on-Scalar LASSO with Applications to Longitudinal GWAS
Rina Foygel Barber, Matthew Reimherr, Thomas Schill
We present a new methodology for simultaneous variable selection and parameter estimation in function-on-scalar regression with an ultra-high dimensional predictor vector. We exten…
stat.ME2016
A Geometric Approach to Confidence Regions and Bands for Functional Parameters
Hyunphil Choi, Matthew Reimherr
Functional data analysis, FDA, is now a well established discipline of statistics, with its core concepts and perspectives in place. Despite this, there are still fundamental stati…