3 papers
stat.ME2018
Soft Maximin Estimation for Heterogeneous Data
Adam Lund, Søren Wengel Mogensen, Niels Richard Hansen
Extracting a common robust signal from data divided into heterogeneous groups can be difficult when each group -- in addition to the signal -- can contain large, unique variation c…
stat.ME2018
Sparse Network Estimation for Dynamical Spatio-temporal Array Models
Adam Lund, Niels Richard Hansen
Neural field models represent neuronal communication on a population level via synaptic weight functions. Using voltage sensitive dye (VSD) imaging it is possible to obtain measure…
stat.CO2015
Penalized estimation in large-scale generalized linear array models
Adam Lund, Martin Vincent, Niels Richard Hansen
Large-scale generalized linear array models (GLAMs) can be challenging to fit. Computation and storage of its tensor product design matrix can be impossible due to time and memory…