Seminars
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The seminars are usually held on Friday at 14h30 and 16h00, alternately with Applied statistics workshops.
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Statistics Seminars/Actuarial Seminars
Invited speakers present their research results. Talks are usually given in English.
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Applied Statistics workshops
This seminar focuses on problem driven statistics.
Usually, presentations in this seminar present case studies satisfying the following requirements :
- A real problem of substantial practical interest is treated,
- Statistics played a major role in solving the problem or in obtaining a better understanding of the situation.
Occasionally, they also concern a methodological presentation of wide general interest.
Link to ISBA calendar
LIDAM seminar series / Statistics Seminar by Clement Berenfeld
27 Mar
27/03/2025 - 14:30 - ISBA C115 - Clement Berenfeld (Institut national de recherche en sciences et technologies du numérique) Will give a presentation on : Causal alternatives to meta-analysisAbstract : Meta-analysis, by synthesizing effect estimates from multiple studies conducted in diverse settings, stands at the top of the evidence hierarchy in clinical research.
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LIDAM seminar series / Statistics Seminar by Clement Berenfeld
27 Mar
27/03/2025 - 14:30 - ISBA C115 - Clement Berenfeld (Institut national de recherche en sciences et technologies du numérique) Will give a presentation on : Causal alternatives to meta-analysisAbstract : Meta-analysis, by synthesizing effect estimates from multiple studies conducted in diverse settings, stands at the top of the evidence hierarchy in clinical research.
LIDAM seminar series / Statistics Seminar by Swati Chandna
28 May
28/05/2025 - 14:30 - ISBA C115 - Swati Chandna (Birkbeck, University of London) Will give a presentation on : Understanding structure in networks observed with covariates via profile least squaresAbstract: Network data across various domains (e.g.
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LIDAM seminar series / Statistics Seminar by Swati Chandna
28 May
28/05/2025 - 14:30 - ISBA C115 - Swati Chandna (Birkbeck, University of London) Will give a presentation on : Understanding structure in networks observed with covariates via profile least squaresAbstract: Network data across various domains (e.g.