Work

Spatial point process modelling and Bayesian inference for large data sets

Year: 2024

Type: conference-paper

Abstract: International audience

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Gillot, Nathan, Stoica, Radu, S., Särkkä, Aila, Gemmerlé, Didier

Institutions: Institut Élie Cartan de Lorraine, PASTA: Processus Aléatoires Spatio-Temporels et Applications, Université de Lorraine, Chalmers University of Technology, University of Gothenburg

Language: English

Topic: Point processes and geometric inequalities

Subfield: Applied Mathematics

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: Agence Nationale de la Recherche, Chalmers Tekniska Högskola, Division of Mathematical Sciences

Awards: G1166465053, G6554659165

OpenAlex ID: W4400638627

FWCI:

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Related to: 10