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

We give debiased machine learners of parameters of interest that depend ongeneralized linear regressions, which regressions make a residual orthogonal toregressors. The parameters of interest include many causal and policy effects.We give neural net learners of the bias correction that are automatic in onlydepending on the object of interest and the regression residual. Convergencerates are given for these neural nets and for more general learners of the biascorrection. We also give conditions for asymptotic normality and consistentasymptotic variance estimation of the learner of the object of interest.

Automatic Debiased Machine Learning via Neural Nets for Generalized Linear Regression