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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We consider maximum likelihood estimation with data from a bivariate Gaussianprocess with a separable exponential covariance model under fixed domainasymptotic. We first characterize the equivalence of Gaussian measures underthis model. Then consistency and asymptotic distribution for the microergodicparameters are established. A simulation study is presented in order to comparethe finite sample behavior of the maximum likelihood estimator with the givenasymptotic distribution.

Maximum likelihood estimation for a bivariate Gaussian process under fixed domain asymptotics