Archive of past events of the site Institute of Statistics, Biostatistics and Actuarial Sciences
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SEMINAR by Sophie Langer (University of Twente)02 DecStatistics Seminar on "Image classification: A (new) statistical viewpoint" Abstract : In this talk we consider a simple supervised classification problem for object recognition on grayscale images. There are two possible perspectives to solve this problem. Firstly, one can interpret object recognition as a high-dimensional classification problem, where every pixel is a variable.En savoir plusSEMINAR by Sophie Langer (University of Twente)02 DecStatistics Seminar on "Image classification: A (new) statistical viewpoint" Abstract : In this talk we consider a simple supervised classification problem for object recognition on grayscale images. There are two possible perspectives to solve this problem. Firstly, one can interpret object recognition as a high-dimensional classification problem, where every pixel is a variable.
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WORKSHOP by Christian Ritter (UCLouvain)18 NovWORKSHOP by Christian Ritter (UCLouvain) "Interesting Internet Data Sources" Abstract: In this talk, I shall visit a collection of internet sources to find data about important subjects in health, wealth, environment, and life in general. This will include the Gapminder, Eurostat, Statistics Belgium, Healthdata.Org, IRCELINE and Sciensano.En savoir plusWORKSHOP by Christian Ritter (UCLouvain)18 NovWORKSHOP by Christian Ritter (UCLouvain) "Interesting Internet Data Sources" Abstract: In this talk, I shall visit a collection of internet sources to find data about important subjects in health, wealth, environment, and life in general. This will include the Gapminder, Eurostat, Statistics Belgium, Healthdata.Org, IRCELINE and Sciensano.
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WORKSHOP by Robby De Pauw (Sciensano)18 Nov"Projecting prevalence rates by Age-Period-Cohort models for the Belgian population - opportunities and pitfalls" Abstract: Repeated cross-sectional health interview surveys provide important information on the health status of a specific region.En savoir plusWORKSHOP by Robby De Pauw (Sciensano)18 Nov"Projecting prevalence rates by Age-Period-Cohort models for the Belgian population - opportunities and pitfalls" Abstract: Repeated cross-sectional health interview surveys provide important information on the health status of a specific region.
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SEMINAR by Mikolaj Kasprzak (MIT and University of Luxembourg)18 Nov"How good is your Laplace approximation? Finite-sample error bounds for a variety of useful divergences" Abstract :The Laplace approximation is a popular method for providing mean and variance estimates for a Bayesian posterior. But can we trust these estimates for practical use?En savoir plusSEMINAR by Mikolaj Kasprzak (MIT and University of Luxembourg)18 Nov"How good is your Laplace approximation? Finite-sample error bounds for a variety of useful divergences" Abstract :The Laplace approximation is a popular method for providing mean and variance estimates for a Bayesian posterior. But can we trust these estimates for practical use?
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WORKSHOP by Bernadette Govaerts (UCLouvain)04 NovWORKSHOP by Bernadette Govaerts (UCLouvain) "Combinaison de méthodes de tests multiples et multivariées pour la modélisation de données -omiques issues d’un plan expérimental" Résumé: De nombreuses technologies modernes sont utilisées pour analyser des échantillons issus de plans expérimentaux en particulier dans les domaines médical, biologique, chimique ou agronomique.En savoir plusWORKSHOP by Bernadette Govaerts (UCLouvain)04 NovWORKSHOP by Bernadette Govaerts (UCLouvain) "Combinaison de méthodes de tests multiples et multivariées pour la modélisation de données -omiques issues d’un plan expérimental" Résumé: De nombreuses technologies modernes sont utilisées pour analyser des échantillons issus de plans expérimentaux en particulier dans les domaines médical, biologique, chimique ou agronomique.
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WORKSHOP by Marie Chion (University of Cambridge)04 NovWORKSHOP by Marie Chion (University of Cambridge) "Données manquantes et imputation : application à la protéomique quantitative" Résumé: En statistique, une valeur est dite manquante lorsqu’elle n’est pas observée. Elle peut être due à une non-réponse ou à des problèmes expérimentaux par exemple. Les techniques courantes d’analyse statistique reposent sur des jeux de données complets.En savoir plusWORKSHOP by Marie Chion (University of Cambridge)04 NovWORKSHOP by Marie Chion (University of Cambridge) "Données manquantes et imputation : application à la protéomique quantitative" Résumé: En statistique, une valeur est dite manquante lorsqu’elle n’est pas observée. Elle peut être due à une non-réponse ou à des problèmes expérimentaux par exemple. Les techniques courantes d’analyse statistique reposent sur des jeux de données complets.
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CANCELLED - SEMINAR by Marie Chion (University of Cambridge)04 NovCANCELLED This is a joined ISBA statistics and AHIDDA group seminar by Marie CHION MRC Biostatistics Unit, University of Cambridge, Cambridge, UK on "Accounting for multiple imputation in differential quantitative proteomics" Abstract : Quantitative proteomics using liquid chromatography-mass spectrometry can identify and quantify several thousand proteins in a fEn savoir plusCANCELLED - SEMINAR by Marie Chion (University of Cambridge)04 NovCANCELLED This is a joined ISBA statistics and AHIDDA group seminar by Marie CHION MRC Biostatistics Unit, University of Cambridge, Cambridge, UK on "Accounting for multiple imputation in differential quantitative proteomics" Abstract : Quantitative proteomics using liquid chromatography-mass spectrometry can identify and quantify several thousand proteins in a f
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SEMINAR by Chenlei Leng (University of Warwick)14 OctSEMINAR by Chenlei Leng (University of Warwick) "Sparse Models for Sparse Networks" Abstract:: Network data are frequently collected in modern society and science. Stylized features of a typical network include network sparsity, degree heterogeneity and homophily among many others.En savoir plusSEMINAR by Chenlei Leng (University of Warwick)14 OctSEMINAR by Chenlei Leng (University of Warwick) "Sparse Models for Sparse Networks" Abstract:: Network data are frequently collected in modern society and science. Stylized features of a typical network include network sparsity, degree heterogeneity and homophily among many others.
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WORKSHOP by Kira Alhorn and Maria Lanzerath (W. L. Gore & Associates)14 OctKira Alhorn and Maria Lanzerath (W. L. Gore & Associates, Germany) Hands-on analysis of data from the OMARS experiment Note: This practical session will be held in our computer room C045. If you would like to participate and are not a member of UCLouvain, please contact christian.ritter@uclouvain.be before 14/10/2022.En savoir plusWORKSHOP by Kira Alhorn and Maria Lanzerath (W. L. Gore & Associates)14 OctKira Alhorn and Maria Lanzerath (W. L. Gore & Associates, Germany) Hands-on analysis of data from the OMARS experiment Note: This practical session will be held in our computer room C045. If you would like to participate and are not a member of UCLouvain, please contact christian.ritter@uclouvain.be before 14/10/2022.
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WORKSHOP by Kira Alhorn and Maria Lanzerath (W. L. Gore & Associates)14 OctWORKSHOP by Kira Alhorn and Maria Lanzerath (W. L. Gore & Associates) "Application of an OMARS design to a polymerization process" Abstract: Statisticians at W.L. Gore & Associates partner with engineers and scientists across the organization to ensure data driven decisions when it comes to quality and reliability in all aspects of the production process.En savoir plusWORKSHOP by Kira Alhorn and Maria Lanzerath (W. L. Gore & Associates)14 OctWORKSHOP by Kira Alhorn and Maria Lanzerath (W. L. Gore & Associates) "Application of an OMARS design to a polymerization process" Abstract: Statisticians at W.L. Gore & Associates partner with engineers and scientists across the organization to ensure data driven decisions when it comes to quality and reliability in all aspects of the production process.