English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Research in functional regression has made great strides in expanding tonon-Gaussian functional outcomes, but exploration of ordinal functionaloutcomes remains limited. Motivated by a study of computer-use behavior inrhesus macaques (Macaca mulatta), we introduce the Ordinal Probit FunctionalOutcome Regression model (OPFOR). OPFOR models can be fit using one of severalbasis functions including penalized B-splines, wavelets, and O'Sullivan splines-- the last of which typically performs best. Simulation using a variety ofunderlying covariance patterns shows that the model performs reasonably well inestimation under multiple basis functions with near nominal coverage for jointcredible intervals. Finally, in application, we use Bayesian model selectioncriteria adapted to functional outcome regression to best characterize therelation between several demographic factors of interest and the monkeys'computer use over the course of a year. In comparison with a standard ordinallongitudinal analysis, OPFOR outperforms a cumulative-link mixed-effects modelin simulation and provides additional and more nuanced information on thenature of the monkeys' computer-use behavior.

Ordinal Probit Functional Outcome Regression with Application to Computer-Use Behavior in Rhesus Monkeys