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 present a new, non-parametric forecasting method for data where continuousvalues are observed discretely in space and time. Our method, "light-conereconstruction of states" (LICORS), uses physical principles to identifypredictive states which are local properties of the system, both in space andtime. LICORS discovers the number of predictive states and their predictivedistributions automatically, and consistently, under mild assumptions on thedata source. We provide an algorithm to implement our method, along with across-validation scheme to pick control settings. Simulations show thatCV-tuned LICORS outperforms standard methods in forecasting challengingspatio-temporal dynamics. Our work provides applied researchers with a new,highly automatic method to analyze and forecast spatio-temporal data.

LICORS: Light Cone Reconstruction of States for Non-parametric Forecasting of Spatio-Temporal Systems