Dipartimento di Scienze Statistiche

PhD program in Statistics DSS Statistics Seminar May 29, 2026, 12:00 In person.Room VII (CU002) Webinar^.https://uniroma1.zoom.us/j/83625004899?pwd=bXCtz0mp759PUh2lkqT0BUoVa0Uegg.1 Passcode: 123456 Point process, spatio-temporal models, and the many issues raised by a small benthic animal The case study of Holothurians Giovanna Jona Lasinio Dept of Statistical Science, Sapienza University of Rome This talk will tell the story of the many ideas and developments that emerged from a collaboration between marine ecologists and statisticians. Over the last 3 years, we have collaborated on the study of a benthic population of sea cucumbers (holothurians) near the coast of Giglio Island (Tuscany region). In the general framework of Bayesian point process modeling, we had to face: 1. complex sampling strategies (and these are presence-only data) 2. different strategies to build the dataset (automatic versus manual) 3. space-time variation 4. model validation and more. Point 2 allows for integration between classical statistical modeling and machine learning techniques. Point 4 is of particular interest, as developing cross-validation-type procedures for dependent data and point processes are still very active areas of development. Joint work with: Gianluca Mastrantonio (Politecnico di Torino), Alessio Pollice (Università di Bari), Daniele Ventura (Sapienza, University, Rome), Gian Mario Sangiovanni (Sapienza University, Rome), Daniele Poggio (Politecnico di Torino).