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

In this paper, we develop Bayesian Hamiltonian Monte Carlo methods forinference in asymmetric GARCH models under different distributions for theerror term. We implemented Zero-variance and Hamiltonian Monte Carlo schemesfor parameter estimation to try and reduce the standard errors of the estimatesthus obtaing more efficient results at the price of a small extra computationalcost.

Zero Variance and Hamiltonian Monte Carlo Methods in GARCH Models