151 citations · 692 across the 40 of their papers we have counts for
Showing 2015Show all
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stat.ML2015
Bootstrap Bias Corrections for Ensemble Methods
Giles Hooker, Lucas Mentch
This paper examines the use of a residual bootstrap for bias correction in machine learning regression methods. Accounting for bias is an important obstacle in recent efforts to de…
stat.ME2015
Combining Functional Data Registration and Factor Analysis
Cecilia Earls, Giles Hooker
We extend the definition of functional data registration to encompass a larger class of registered functions. In contrast to traditional registration models, we allow for registere…
stat.ME2015
Adapted Variational Bayes for Functional Data Registration, Smoothing, and Prediction
Cecilia Earls, Giles Hooker
We propose a model for functional data registration that compares favorably to the best methods of functional data registration currently available. It also extends current inferen…