BEGIN:VCALENDAR PRODID:-//eluceo/ical//2.0/EN VERSION:2.0 CALSCALE:GREGORIAN BEGIN:VEVENT UID:c81f1cbaa541137184324d7828e90d06 DTSTAMP:20261010T101332Z SUMMARY:Applied Statistics Workshop by Marina Vives DESCRIPTION:More details coming soon URL:https://uclouvain.be/en/calendar/isba DTSTART;TZID=Europe/Brussels:20270212T143000 DTEND;TZID=Europe/Brussels:20270212T153000 LOCATION:ISBA - C115 (1st Floor) 1348 Louvain-la-Neuve END:VEVENT BEGIN:VEVENT UID:1f82d155cf92dd05a60926281128d780 DTSTAMP:20261010T101332Z SUMMARY:LIDAM Statistics Seminar by Emilie Devijver DESCRIPTION:05/03/2027 - 14:30 - ISBA C115 - \; \;Emilie Devijver(U niversité Grenoble Alpes) \; \;More details coming soon URL:https://uclouvain.be/en/calendar/isba DTSTART;TZID=Europe/Brussels:20270305T143000 DTEND;TZID=Europe/Brussels:20270305T153000 LOCATION: Voie du Roman Pays\, 20 1348 Louvain-la-Neuve END:VEVENT BEGIN:VEVENT UID:1df47440824ed3e98ab5252f12b418cb DTSTAMP:20261010T101332Z SUMMARY:Applied Statistics Workshop by Aurelie Bertrand and Laura Symul DESCRIPTION:More details coming soon URL:https://uclouvain.be/en/calendar/isba DTSTART;TZID=Europe/Brussels:20261127T143000 DTEND;TZID=Europe/Brussels:20261127T153000 LOCATION:ISBA - C115 (1st Floor) 1348 Louvain-la-Neuve END:VEVENT BEGIN:VEVENT UID:971b314d99ede729ba11c7785403af41 DTSTAMP:20261010T101332Z SUMMARY:LIDAM Statistics Seminar by Alessandra Luati DESCRIPTION:11/12/2026 - 14:30 - ISBA C115 - \; \;Alessandra Luati  \;(Imperial College London) \;More details coming soon URL:https://uclouvain.be/en/calendar/isba DTSTART;TZID=Europe/Brussels:20261211T143000 DTEND;TZID=Europe/Brussels:20261211T153000 LOCATION:Voie du Roman Pays\, 20 1348 Louvain-la-Neuve END:VEVENT BEGIN:VEVENT UID:c72de8b66680ce3a28371056264bf3f7 DTSTAMP:20261010T101332Z SUMMARY:Applied Statistics Workshop by Matthias Mertens & Sigrid Knops DESCRIPTION:06/11/2026 - 14:30 - ISBA C.115 + Teams \;- \; \;Si grid Knops &\; Matthias Mertens(CSR\,Climate director &\; Data Engin eer\, Korian Belgium)Will give a presentation on : \;Data-smart Nursin g Homes: Using Data for Well-being and SustainabilitySummary:How can data help nursing homes use energy and water more efficiently while maintaining residents’ and employee’s well-being?At Korian\, a large network of e lderly care homes\, smart meters and indoor sensors provide opportunities to explore this question. Their value\, however\, depends on the reliabili ty of the measurements and our ability to interpret them in an operational context.In this talk\, we share our experience of collecting and using th is data.  \;During the academical year 2025-2026\, we launched some st udent projects on electricity/gas/water consumption and solar panel produc tion/injection. Students have investigated missing measurements\, anomalou s readings and consumption patterns across a sample of Korian’s elderly care homes. A complementary case study combined indoor temperatures\, weat her data and gas consumption to examine thermal behavior and identified op portunities for further investigation and optimization.The projects illust rated both the possibilities and the limitations of data science in practi ce. Filling a gap does not necessarily resolve an underlying sensor proble m\, and a statistical pattern needs operational context before it can lead to a decision.The seminar opens a discussion on the next steps. How can w e improve the existing ideas and obtain a practical approach which leads t o lower resource use and lower emissions while still preserving a comforta ble living environment? \;Participation via Teams is also possible via the link https://teams.microsoft.com/meet/3554464068012969?p=fm7poiGgyUWz XWb34b \; URL:https://uclouvain.be/en/calendar/isba DTSTART;TZID=Europe/Brussels:20261106T143000 DTEND;TZID=Europe/Brussels:20261106T153000 LOCATION:Voie du Roman Pays\, 20 1348 Louvain-la-Neuve END:VEVENT BEGIN:VEVENT UID:231a2c9f6ed33cdfd044cc9807e984af DTSTAMP:20261010T101332Z SUMMARY:LIDAM Statistics Seminar by Ivan Kojadinovic DESCRIPTION:27/11/2026 - 11:00 - ISBA C115 - \; \;Ivan Kojadinovic  \;(Université de Pau et des Pays de l'Adour) \;Will give a prese ntation on : \;An algorithmic procedure for solving the generalized mi nimum information checkerboard copula problemAbstract: \;The minimum i nformation copula principle (see Meeuwissen and Bedford\, 1997) is a maxim um entropy-like approach for finding the least informative copula that sat isfies a certain number of expectation constraints specified either from e xpert knowledge or the available limited data. In this presentation\, we f irst propose a generalization of this principle allowing the inclusion of additional constraints fixing certain higher-order margins of the copula. We next prove that the associated optimization problem has a unique soluti on under a natural condition. As the latter problem is intractable in gene ral\, following the existing literature\, we consider its version with all the probability measures involved in its formulation replaced by checkerb oard approximations. This amounts to attempting to solve aso-called discre te I-projection linear problem. We then use the seminal results of Csiszar (1975) to derive an IPFP-like procedure for solving the latter and provid e theoretical guarantees for its convergence. We next report numerical exp eriments in dimensions up to four with substantially finer discretizations than those encountered in the literature. We finally discuss the computat ional cost of the procedure and hint at memory saving implementations that should allow to tackle higher dimensional problems under certain conditio ns. URL:https://uclouvain.be/en/calendar/isba DTSTART;TZID=Europe/Brussels:20261127T110000 DTEND;TZID=Europe/Brussels:20261127T120000 LOCATION:Voie du Roman Pays\, 20 1348 Louvain-la-Neuve END:VEVENT BEGIN:VEVENT UID:5bc43bbea8ab680e9c766be9d56db616 DTSTAMP:20261010T101332Z SUMMARY:LIDAM Statistics Seminar by Kellie Archer DESCRIPTION:13/11/2026 - 14:30 - ISBA C.115 - \; \;Kellie Archer&nb sp\;(The Ohio State University) \;Will give a presentation on : \; High-Dimensional Mixture Cure Models for Time-to-Event Data \;Abstract : \;Medical breakthroughs in recent decades have led to cures for many diseases including cancer.  \;For example\, various groups have shown that advances in therapy for leukemia and myelodysplastic syndrome have i ncreased overall survival rates and some groups have identified factors re lated to long-term survival\, defined as survival exceeding three years\, which included that patients treated on newer treatment regimens were more likely to be long-term survivors. In fact\, some argue that these improve d outcomes indicate that some AML patients can be considered “potentiall y cured.” The mixture cure model (MCM) is a time-to-event model that is used when a cured fraction exists. MCMs assume the population consists of two subgroups\, those cured will not experience the event of interest and those susceptible to the event of interest. Therefore\, “cured” can be considered synonymous with attaining long-term relapse-free survival. Thu s\, there are two regression components in MCMs which permit identificatio n of features associated with cure and/or latency of susceptible patients. Many researchers have sought to identify a prognostic model for a time-to -event outcome. When the covariate space is high-dimensional\, as in the c ase with gene expression data\, typically penalized Cox proportional hazar ds (PH) models are fit. However\, when a dataset includes a cured fraction \, MCMs are more appropriate than Cox PH models. In these scenarios\, Cox models often yield inaccurate hazard and survival estimates due to violati ons of the proportional hazards assumption. Despite their utility\, robust methods for fitting MCMs to high-dimensional data remain scarce. In this talk\, I will present our recent work extending MCMs to effectively handle high-dimensional covariate spaces\, offering a more accurate prognostic t ool for modern high-dimensional datasets. URL:https://uclouvain.be/en/calendar/isba DTSTART;TZID=Europe/Brussels:20261113T143000 DTEND;TZID=Europe/Brussels:20261113T153000 LOCATION:Voie du Roman Pays\, 20 1348 Louvain-la-Neuve END:VEVENT BEGIN:VEVENT UID:3b86d0df42f028a55a698a8275eafed1 DTSTAMP:20261010T101332Z SUMMARY:LIDAM Statistics Seminar by Thomas Jaki DESCRIPTION:16/10/2026 - 14:30 - ISBA C115 - \; \;Thomas Jaki   \;(Cambridge University) \;Will give a presentation on : \;Control ling false decision errors in platform trialsAbstract: \;Platform tria ls are a new class of clinical study design \;that allow treatment arm s to enter and leave the trial \;over time \;and have proven to be particularly popular during the COVID-19 pandemic where no fewer than 58 trials have been registered as a platform trial. A common feature of these designs is the desire to answer several research questions within a singl e protocol. \;One of the questions arising from this feature that has generated a lot of discussion in the literature is the need for (or lack o f need to) \;control error rates as well as the most appropriate \ ;type of error control.In this talk I will begin by reflecting on the disc ussion around error rates and introduce different possible testing strateg ies that could be considered for platform trials. \;Throughout this pr esentation I will highlight areas where further research is necessary to e nable platform trials to unleash their full potential. URL:https://uclouvain.be/en/calendar/isba DTSTART;TZID=Europe/Brussels:20261016T143000 DTEND;TZID=Europe/Brussels:20261016T153000 LOCATION:Voie du Roman Pays\, 20 1348 Louvain-la-Neuve END:VEVENT BEGIN:VEVENT UID:7433ffd3b3d775886a43087910a321c4 DTSTAMP:20261010T101332Z SUMMARY:LIDAM Statistics Seminar by Debarghya Ghoshdastidar DESCRIPTION:26/02/2027 - 14:30 - ISBA C115 - \; \;Debarghya Ghoshda stidar(Technical University of Munich) \; \;More details coming so on URL:https://uclouvain.be/en/calendar/isba DTSTART;TZID=Europe/Brussels:20270226T143000 DTEND;TZID=Europe/Brussels:20270226T153000 LOCATION:ISBA - C115 (1st Floor) 1348 Louvain-la-Neuve END:VEVENT BEGIN:VEVENT UID:9b0cb5c89528b3e733ced775893cd8bd DTSTAMP:20261010T101332Z SUMMARY: EDT short course by Margaux Zaffran DESCRIPTION:29-30/10/2026 - 09:30 -  \; \;Margaux Zaffran \;(La boratoire de Mathématiques d’Orsay) \;The course will be held at IS BA\, UCLouvain (20 Voie du Roman Pays\, Louvain-la-Neuve) on:Thursday Octo ber\, 29th\, 2026\, 9h30-12h30 and 13h30-15h (Room C115)\;Friday October\, 30th\, 2026\, 9h30-12h30 and 13h30-15h (Room C115).To better organize the event\, may we kindly ask you to register (before October 19th at 17h\; t he sooner the better\, so that we can reserve a larger room in case needed and the catering) using the following link:Workshop EDT on Conformal Pred iction – Remplir le formulaireFor those travelling by car\, if you need parking please let us know at least one week in advance (it takes at least a couple of days to get a QR code from the central administration). For t hose in need of a certificate of attendance\, please let us know as well i n advance.More details and information regarding the event will follow.Nev ertheless\, you are all warmly invited to already check out some slides th e speaker prepared for a similar event at SFdS (on which our short course is based) here:https://github.com/mzaffran/ECAS_SFdS_ConformalPredictionKi nd regards\,EDT in Statistics\, Biostatistics and Actuarial Sciences \ ; \; \; URL:https://uclouvain.be/en/calendar/isba DTSTART;TZID=Europe/Brussels:20261029T093000 DTEND;TZID=Europe/Brussels:20261030T150000 LOCATION:Voie du Roman Pays\, 20 1348 Louvain-la-Neuve END:VEVENT END:VCALENDAR