Motivated by the need to model joint dependence between regions of inter...
Motivated by the important need for computationally tractable statistica...
The recent explosion of genetic and high dimensional biobank and 'omic' ...
Transfer learning uses a data model, trained to make predictions or
infe...
Motivated by image-on-scalar regression with data aggregated across mult...
Modern longitudinal data, for example from wearable devices, measures
bi...
Modern longitudinal data from wearable devices consist of biological sig...
A fundamental aspect of statistics is the integration of data from diffe...
Extreme environmental events frequently exhibit spatial and temporal
dep...
Two dominant distributed computing strategies have emerged to overcome t...
We propose a distributed quadratic inference function framework to joint...
This paper presents a unified framework for supervised learning and infe...
This paper is motivated by a regression analysis of electroencephalograp...