{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T18:34:28Z","timestamp":1791311668161,"version":"4.3.1"},"reference-count":46,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2014,12,13]],"date-time":"2014-12-13T00:00:00Z","timestamp":1418428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Danish Council for Independent Research\u2014Natural Sciences","award":["09-072331"],"award-info":[{"award-number":["09-072331"]}]},{"name":"Danish Council for Independent Research\u2014Natural Sciences","award":["12-124675"],"award-info":[{"award-number":["12-124675"]}]},{"name":"Centre for Stochastic Geometry and Advanced Bioimaging"},{"DOI":"10.13039\/100008398","name":"Villum Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008398","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,9,1]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>Statistical models and methods for determinantal point processes (DPPs) seem largely unexplored. We demonstrate that DPPs provide useful models for the description of spatial point pattern data sets where nearby points repel each other. Such data are usually modelled by Gibbs point processes, where the likelihood and moment expressions are intractable and simulations are time consuming. We exploit the appealing probabilistic properties of DPPs to develop parametric models, where the likelihood and moment expressions can be easily evaluated and realizations can be quickly simulated. We discuss how statistical inference is conducted by using the likelihood or moment properties of DPP models, and we provide freely available software for simulation and statistical inference.<\/jats:p>","DOI":"10.1111\/rssb.12096","type":"journal-article","created":{"date-parts":[[2014,12,13]],"date-time":"2014-12-13T05:44:59Z","timestamp":1418449499000},"page":"853-877","source":"Crossref","is-referenced-by-count":161,"title":["Determinantal Point Process Models and Statistical Inference"],"prefix":"10.1093","volume":"77","author":[{"given":"Fr\u00e9d\u00e9ric","family":"Lavancier","sequence":"first","affiliation":[{"name":"University of Nantes \u00a0 France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jesper","family":"M\u00f8ller","sequence":"additional","affiliation":[{"name":"Aalborg University \u00a0 Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ege","family":"Rubak","sequence":"additional","affiliation":[{"name":"Aalborg University \u00a0 Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2014,12,13]]},"reference":[{"key":"2023021709292424800_rssb12096-cit-0001","first-page":"26","volume-title":"Proc. 28th Conf. 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