Archive des événements passés du site Institute of Statistics, Biostatistics and Actuarial Sciences
You are viewing All events
-
WORKSHOP by Quentin Clemens (SAS)05 MayWORKSHOP by Quentin Clemens (SAS) on "The Machine Learning Use Case Assessment Canvas: A Practical Approach to Analytical Projects" Abstract : Using two broad use cases, students will be familiarized with the "Machine Learning Use Case Assessment Canvas", a framework for scoping, aligning and understanding the full "Analytics Lifecycle" of analytical projects before they've truly begun.En savoir plusWORKSHOP by Quentin Clemens (SAS)05 MayWORKSHOP by Quentin Clemens (SAS) on "The Machine Learning Use Case Assessment Canvas: A Practical Approach to Analytical Projects" Abstract : Using two broad use cases, students will be familiarized with the "Machine Learning Use Case Assessment Canvas", a framework for scoping, aligning and understanding the full "Analytics Lifecycle" of analytical projects before they've truly begun.
-
SEMINAR by Quentin Le Coënt (UCLouvain)28 AprSEMINAR by Quentin Le Coënt (UCLouvain) on "Surrogate endpoints validation in clinical trials using joint modeling, mediation analysis and meta-analytic data" Abstract : In clinical research, surrogate (or intermediate) endpoints can be used instead of final endpoints to help speed up the evaluation of a new treatment or intervention.En savoir plusSEMINAR by Quentin Le Coënt (UCLouvain)28 AprSEMINAR by Quentin Le Coënt (UCLouvain) on "Surrogate endpoints validation in clinical trials using joint modeling, mediation analysis and meta-analytic data" Abstract : In clinical research, surrogate (or intermediate) endpoints can be used instead of final endpoints to help speed up the evaluation of a new treatment or intervention.
-
WORKSHOP by Ananda Sen (University of Michigan)31 MarWORKSHOP by Ananda Sen (University of Michigan) on : "Bayesian joint modeling under competing risks with application in cancer" Abstract: Joint models for longitudinal and time-to-event data are useful in situations where an association exists between a longitudinal marker and an event time.En savoir plusWORKSHOP by Ananda Sen (University of Michigan)31 MarWORKSHOP by Ananda Sen (University of Michigan) on : "Bayesian joint modeling under competing risks with application in cancer" Abstract: Joint models for longitudinal and time-to-event data are useful in situations where an association exists between a longitudinal marker and an event time.
-
WORKSHOP by Sébastien Jodogne (UCLouvain)31 MarWORKSHOP by Sébastien Jodogne (UCLouvain) : "L’apprentissage profond au bénéfice de l’imagerie médicale" Résumé: Dans cet exposé, nous allons explorer comment l’apprentissage profond (deep learning) peut être appliqué aux images médicales. Nous nous intéresserons tout particulièrement à la tâche de la segmentation d’organes.En savoir plusWORKSHOP by Sébastien Jodogne (UCLouvain)31 MarWORKSHOP by Sébastien Jodogne (UCLouvain) : "L’apprentissage profond au bénéfice de l’imagerie médicale" Résumé: Dans cet exposé, nous allons explorer comment l’apprentissage profond (deep learning) peut être appliqué aux images médicales. Nous nous intéresserons tout particulièrement à la tâche de la segmentation d’organes.
-
SEMINAR by Nicolas Verzelen (INRAE, Université de Montpellier)24 MarSEMINAR by Nicolas Verzelen (INRAE, Université de Montpellier) on "Optimal Permutation Estimation in Crowd-Sourcing problems" Abstract: Motivated by crowd-sourcing applications where we want to rank experts according to their abilities, we consider a model where we have partial observations from a bivariate isotonic nXd matrix with an unknown permutation \pi^* acting on its rows.En savoir plusSEMINAR by Nicolas Verzelen (INRAE, Université de Montpellier)24 MarSEMINAR by Nicolas Verzelen (INRAE, Université de Montpellier) on "Optimal Permutation Estimation in Crowd-Sourcing problems" Abstract: Motivated by crowd-sourcing applications where we want to rank experts according to their abilities, we consider a model where we have partial observations from a bivariate isotonic nXd matrix with an unknown permutation \pi^* acting on its rows.
-
SEMINAR by Simone Maxand (Europa-Universität Viadrina)17 MarSEMINAR by Simone Maxand (Europa-Universität Viadrina) on "A (panel) SVAR for European carbon pricing" Abstract : Carbon pricing is seen as a crucial tool for achieving the set goals of carbon neutrality in Europe.En savoir plusSEMINAR by Simone Maxand (Europa-Universität Viadrina)17 MarSEMINAR by Simone Maxand (Europa-Universität Viadrina) on "A (panel) SVAR for European carbon pricing" Abstract : Carbon pricing is seen as a crucial tool for achieving the set goals of carbon neutrality in Europe.
-
WORKSHOP by Luc Boone (EORTC)10 MarWORKSHOP by Luc Boone (EORTC) on "Estimands, Intercurrent Events and Strategies to Handle Intercurrent Events" Abstract : The Guidance on Estimands and Sensitivity analyses (ICH E9(R1)) in clinical trials was released in 2019.En savoir plusWORKSHOP by Luc Boone (EORTC)10 MarWORKSHOP by Luc Boone (EORTC) on "Estimands, Intercurrent Events and Strategies to Handle Intercurrent Events" Abstract : The Guidance on Estimands and Sensitivity analyses (ICH E9(R1)) in clinical trials was released in 2019.
-
WORKSHOP by Marie-Anne Colocouris (GSK)24 FebWORKSHOP by Marie-Anne Colocouris (GSK) on "Data Analytics Applied to Vaccines Manufacturing" Abstract : The manufacture of vaccines uses a wide range of automated technologies. The manufacturing processes are controlled and adjusted by on-line sensors. The data generated by those sensors can be exploited by process experts as they become accessible to them.En savoir plusWORKSHOP by Marie-Anne Colocouris (GSK)24 FebWORKSHOP by Marie-Anne Colocouris (GSK) on "Data Analytics Applied to Vaccines Manufacturing" Abstract : The manufacture of vaccines uses a wide range of automated technologies. The manufacturing processes are controlled and adjusted by on-line sensors. The data generated by those sensors can be exploited by process experts as they become accessible to them.
-
SEMINAR by Tatyana Krivobokova (University of Vienna)24 FebSEMINAR by Tatyana Krivobokova (University of Vienna) on "Iterative regularisation methods for ill-posed generalised linear models" Abstract : We study the problem of regularised maximum-likelihood optimisation in ill-posed generalised linear models with covariates that include subsets that are relevant and that are irrelevant for the response.En savoir plusSEMINAR by Tatyana Krivobokova (University of Vienna)24 FebSEMINAR by Tatyana Krivobokova (University of Vienna) on "Iterative regularisation methods for ill-posed generalised linear models" Abstract : We study the problem of regularised maximum-likelihood optimisation in ill-posed generalised linear models with covariates that include subsets that are relevant and that are irrelevant for the response.
-
WORKSHOP by Vincent Smets (Sciensano) and Antoine Grollinger (UCLouvain)24 FebWORKSHOP by Vincent Smets (Sciensano) and Antoine Grollinger (UCLouvain) on "Exploring the digital food environment in Flanders: Web scraping of food delivery applications data" Abstract : Food environments have commonly been defined as ‘the physical, economic, political and socio-cultural contexts in which people engage with the food system to make their decisions about acquiring, preparingEn savoir plusWORKSHOP by Vincent Smets (Sciensano) and Antoine Grollinger (UCLouvain)24 FebWORKSHOP by Vincent Smets (Sciensano) and Antoine Grollinger (UCLouvain) on "Exploring the digital food environment in Flanders: Web scraping of food delivery applications data" Abstract : Food environments have commonly been defined as ‘the physical, economic, political and socio-cultural contexts in which people engage with the food system to make their decisions about acquiring, preparing