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

Consider a random vector (X',Y)', where X is d-dimensional and Y isone-dimensional. We assume that Y is subject to random right censoring. The aimof this paper is twofold. First, we propose a new estimator of the jointdistribution of (X',Y)'. This estimator overcomes the commoncurse-of-dimensionality problem, by using a new dimension reduction technique.Second, we assume that the relation between X and Y is given by a meanregression single index model, and propose a new estimator of the parameters inthis model. The asymptotic properties of all proposed estimators are obtained.

Single index regression models in the presence of censoring depending on the covariates