📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Evaluating distributional regression strategies for modelling self-reported sexual age-mixing (2021)

First Author: Wolock T

Attributed to: Spatiotemporal statistical machine learning (ST-SML): theory, methods, and applications funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2103.08341

Publication URI: https://arxiv.org/abs/2103.08341

Type: Preprint