{"id":3676,"date":"2023-09-08T15:57:15","date_gmt":"2023-09-08T13:57:15","guid":{"rendered":"https:\/\/www.uni.lu\/fstm-en\/blog\/research-groups\/yannick-barauds-research-group\/"},"modified":"2025-06-18T11:55:01","modified_gmt":"2025-06-18T09:55:01","slug":"developing-contemporary-mathematical-statistics","status":"publish","type":"research-groups","link":"https:\/\/www.uni.lu\/fstm-en\/research-groups\/developing-contemporary-mathematical-statistics\/","title":{"rendered":"Developing Contemporary Mathematical Statistics"},"content":{"rendered":"
\n \n
\n \n \n Overview<\/span>\n \n \n <\/svg>\n <\/button>\n\n
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  • \n \n \n \n <\/svg>\n Overview<\/span>\n <\/a>\n<\/li>\n
  • \n \n \n \n <\/svg>\n Research<\/span>\n <\/a>\n<\/li>\n
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    \nDeveloping contemporary mathematical statistics<\/h1>\n<\/div>\n<\/header>\n
    \n \n\"Picture <\/figure>\n
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    The objective of the group is to develop new robust substitutes to classical statistical methods such as maximum likelihood, least squares and Bayesian methods.<\/p>\n\n\n

      \n\n<\/ul>\n<\/div>\n<\/div>\n <\/div>\n<\/section><\/div>\n<\/div>\n\n
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      \nRobust strategies<\/h2>\n\n\n\n
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      \n \n\"Research\"\n <\/figure><\/section><\/div>\n\n\n\n
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      \n<\/h3>\n\n\n\n

      Classical statistical methods are designed to provide good estimators when the statistical model is exact. When the model is only approximate, these estimators may perform poorly. Unfortunately, in general all we can expect is that the statistical model provides a suitable approximation of reality. Our group aims at designing reliable procedures in the situation where the model may only be approximate.<\/p>\n<\/div>\n\n\n\n

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      \n<\/h3>\n\n\n
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        • \n \n \nPublications<\/span><\/use><\/svg><\/a>\n<\/li>\n<\/ul><\/div>\n\n\n\n
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            \nHead of Group<\/h3>\n\n
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            \n \n\"\"\n <\/figure><\/div>\n\n\n\n
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            \nProf. Yannick BARAUD<\/h5>\n\n\n\n

            Full professor in Mathematics <\/p>\n\n

            \n \n \n Learn More<\/span>\n <\/span>\n <\/use><\/svg> <\/a>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/section>\n\n\n\n
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            \nThis group is part of:<\/h3>\n\n\n
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            • \n \n \n
              \n \n\"Faculty <\/figure>\n\n\nFaculty of Science, Technology and Medicine (FSTM)<\/span>\n\n<\/use><\/svg><\/span>\n<\/a>\n<\/li>
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              \n \n\"\"\n <\/figure>\n\n\nDepartment of Mathematics<\/span>\n\n<\/use><\/svg><\/span>\n<\/a>\n<\/li><\/ul>\n<\/div><\/section>\n<\/div>","protected":false},"excerpt":{"rendered":"

              The objective of the group is to develop new robust substitutes to classical statistical methods such as maximum likelihood, least squares and Bayesian methods.<\/p>\n","protected":false},"author":115,"featured_media":3675,"parent":0,"menu_order":0,"template":"","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"Developing Contemporary Mathematical Statistics","uluxPrePostTitle":"Research Group","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false},"field-of-interest":[294],"organisation":[65,29],"authorship":[115,112,215],"acf":[],"yoast_head":"\nDeveloping Contemporary Mathematical Statistics - 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