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06/18/2023
Asymptotic results for nonparametric regression estimators after sufficient dimension reduction estimation
Prediction, in regression and classification, is one of the main aims in...
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08/02/2020
Double-robust and efficient methods for estimating the causal effects of a binary treatment
We consider the problem of estimating the effects of a binary treatment ...
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05/22/2018
Semi-supervised learning: When and why it works
Semi-supervised learning deals with the problem of how, if possible, to ...
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04/11/2018
The spatial sign covariance operator: Asymptotic results and applications
Due to the increasing recording capability, functional data analysis has...
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10/12/2017
Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalised linear models
Reduced-rank regression is a dimensionality reduction method with many a...
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09/17/2017
