{"id":20991,"date":"2023-09-17T21:04:04","date_gmt":"2023-09-17T19:04:04","guid":{"rendered":"https:\/\/www.ummto.dz\/fs\/?p=20991"},"modified":"2023-10-14T11:38:48","modified_gmt":"2023-10-14T09:38:48","slug":"avis-de-soutenance-de-doctorat-en-mathematiques-de-madame-ait-mohammed-noura","status":"publish","type":"post","link":"https:\/\/www.ummto.dz\/fs\/avis-de-soutenance-de-doctorat-en-mathematiques-de-madame-ait-mohammed-noura\/","title":{"rendered":"Avis de soutenance de Doctorat en Math\u00e9matiques de Madame Ait Mohammed Noura"},"content":{"rendered":"

[et_pb_section fb_built=\u00a0\u00bb1″ _builder_version=\u00a0\u00bb4.19.5″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb custom_margin=\u00a0\u00bb|-105px||||\u00a0\u00bb custom_padding=\u00a0\u00bb|144px||||\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb][et_pb_row _builder_version=\u00a0\u00bb4.19.5″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb width=\u00a0\u00bb100%\u00a0\u00bb max_width=\u00a0\u00bb2524px\u00a0\u00bb custom_margin=\u00a0\u00bb|-496px||71px||\u00a0\u00bb custom_padding=\u00a0\u00bb|0px||||\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb][et_pb_column type=\u00a0\u00bb4_4″ _builder_version=\u00a0\u00bb4.19.5″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb][et_pb_accordion _builder_version=\u00a0\u00bb4.22.1″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb toggle_text_color=\u00a0\u00bb#E02B20″ toggle_font=\u00a0\u00bbAdamina|700|||||||\u00a0\u00bb toggle_text_align=\u00a0\u00bbjustify\u00a0\u00bb toggle_font_size=\u00a0\u00bb23px\u00a0\u00bb width=\u00a0\u00bb100%\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb][et_pb_accordion_item title=\u00a0\u00bbAvis de Soutenance de Doctorat en Sciences en Math\u00e9matiques de Madame Ait Mohammed Noura\u00a0\u00bb open=\u00a0\u00bbon\u00a0\u00bb _builder_version=\u00a0\u00bb4.22.1″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_font=\u00a0\u00bb|600|||||||\u00a0\u00bb body_text_color=\u00a0\u00bb#000000″ global_colors_info=\u00a0\u00bb{}\u00a0\u00bb toggle_font_size=\u00a0\u00bb19px\u00a0\u00bb]<\/p>\n

Madame \u00a0Noura Ait Mohammed <\/span><\/strong>soutiendra sa th\u00e8se de Doctorat en Sciences\u00a0 en Math\u00e9matiques,\u00a0 option<\/span><\/strong>: <\/span>\u00a0Probabilit\u00e9s & Statistique<\/span>,\u00a0<\/span><\/strong>le jeudi 21<\/strong><\/span> septembre 2023<\/span>\u00a0<\/strong><\/span>\u00e0 09<\/strong><\/span>h30<\/strong><\/span>.<\/span><\/p>\n

Lieu\u00a0: Salle de soutenance de la Facult\u00e9 des Sciences<\/strong><\/p>\n

Intitul\u00e9\u00a0de la th\u00e8se\u00a0:<\/p>\n

Inf\u00e9rence dans un mod\u00e8le autor\u00e9gressif avec tendance et \u00e0 contaminations multiples\u00a0: Approche Bay\u00e9sienne<\/strong><\/span><\/p>\n

Devant le jury d\u2019examen compos\u00e9 de\u00a0:<\/p>\n\n\n\n\n\n\n\n\n
Hocine FELLEG<\/td>\nProfesseur<\/td>\nUMMTO<\/td>\nPr\u00e9sident<\/td>\n<\/tr>\n
Hafida GUERBYENNE<\/td>\nProfesseur<\/td>\nUSTHB<\/td>\nDirectrice de th\u00e8se<\/td>\n<\/tr>\n
Lynda ATIL<\/td>\nMCA<\/td>\nUMMTO<\/td>\nExaminatrice<\/td>\n<\/tr>\n
Fazia BEDOUHENE<\/td>\nProfesseur<\/td>\nUMMTO<\/td>\nExaminatrice<\/td>\n<\/tr>\n
Ourida SADKI<\/td>\nProfesseur<\/td>\nUSTHB<\/td>\nExaminatrice<\/td>\n<\/tr>\n
Nabil ZOUGAB<\/td>\nProfesseur<\/td>\nUniv-Bejaia<\/td>\nExaminateur<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/strong><\/p>\n

Le public est cordialement invit\u00e9<\/strong><\/p>\n

R\u00e9f\u00a0:\u00a0D\u00e9cision de soutenance N\u00b050\/VRPGRS\/2023 du 04\/07\/2023<\/strong><\/span><\/p>\n

T\u00e9l\u00e9charger : Avis-de-soutenance-Doctorat Ait Mohammed Noura<\/a><\/strong><\/span><\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=\u00a0\u00bbR\u00e9sum\u00e9 de la th\u00e8se\u00a0\u00bb _builder_version=\u00a0\u00bb4.22.1″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb text_orientation=\u00a0\u00bbjustified\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb open=\u00a0\u00bboff\u00a0\u00bb]<\/p>\n

Deux types de contaminations pouvant affecter des donn\u00e9es\u00a0 d\u2019observation sont consider\u0301ees dans cette th\u00e8se : les contaminants additifs (<\/span>AO<\/span><\/i>) et les contaminants innovants (<\/span>IO<\/span><\/i>). Nous avons g\u00e9n\u00e9ralis\u00e9 les deux types de contaminations <\/span>AO <\/span><\/i>et <\/span>IO <\/span><\/i>au cas multiple pour un mod\u00e8le autor\u00e9gressif d\u2019ordre <\/span>p <\/span><\/i>avec une tendance de r\u00e9gression. Nous adoptons l\u2019approche bay\u00e9sienne et\u00a0 l\u2019\u00e9chantillonnage\u00a0 de\u00a0 Gibbs\u00a0 pour\u00a0 estimer\u00a0 d\u2019abord\u00a0 les\u00a0 param`etres\u00a0 du\u00a0 mod`ele\u00a0 et\u00a0 les\u00a0 ampli- tudes des contaminants, ensuite nous utilisons un test bas\u00e9 sur les <\/span>p<\/span><\/i>-values et d\u2019autres crit`eres de discrimination bay\u00e9siens pour d\u00e9tecter la position des deux types de contaminants. Une<\/span><\/p>\n

\u00e9tude de simulation intensive est pr\u00e9sent\u00e9e pour illustrer la performance de la m\u00e9thode par rapport \u00e0 l\u2019estimation par maximum de vraisemblance, principalement pour des \u00e9chantillons de petite taille. La pr\u00e9vision d\u2019une valeur future est donn\u00e9e. Notre m\u00e9thode est appliqu\u00e9e\u00a0<\/span><\/p>\n

un ensemble de donn\u00e9es r\u00e9elles.<\/span><\/p>\n

Mots cl\u00e9s<\/b>: \u00c9chantillonnage de Gibbs; valeurs aberrantes additives multiples; valeurs aberrantes innovantes multiples; mod\u00e8le autor\u00e9gressif; analyse bay\u00e9sienne; d\u00e9tection des valeurs aberrantes.<\/span><\/span><\/strong><\/span><\/p>\n

 <\/p>\n

 <\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=\u00a0\u00bbThesis summary\u00a0\u00bb _builder_version=\u00a0\u00bb4.22.1″ _module_preset=\u00a0\u00bbdefault\u00a0\u00bb body_text_align=\u00a0\u00bbjustify\u00a0\u00bb global_colors_info=\u00a0\u00bb{}\u00a0\u00bb open=\u00a0\u00bboff\u00a0\u00bb]<\/p>\n

Two types of outliers that may occur in data are considered in this thesis: additive outliers (<\/span>AO<\/span><\/i>) and innovational outliers (<\/span>IO<\/span><\/i>). We have generalized the two types of contaminations <\/span>AO <\/span><\/i>and <\/span>IO <\/span><\/i>to the multiple case for an autoregressive model of order <\/span>p <\/span><\/i>with a regression trend. We adopt the Bayesian approach combined with Gibbs sampling to jointly estimate the model parameters and the outliers on the first hand, and on the other hand we use a test based on <\/span>p<\/span><\/i>-values and other discrimination Bayesian criteria to detect the location and the magnitude of the two types of outliers. An intensive simulation study is presented for illus- trating the performance of the method relative to maximum likelihood estimation, mainly for small sample sizes. The prediction of a future value is given. Our method is applied to a real data set.<\/span><\/p>\n

Keywords<\/strong> :<\/span>\u00a0Gibbs sampling; multiple additive outliers; multiple innovational outliers; au- toregressive model; bayesian analysis; outliers detection.<\/span><\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

Madame \u00a0Noura Ait Mohammed soutiendra sa th\u00e8se de Doctorat en Sciences\u00a0 en Math\u00e9matiques,\u00a0 option: \u00a0Probabilit\u00e9s & Statistique,\u00a0le jeudi 21 septembre 2023\u00a0\u00e0 09h30. Lieu\u00a0: Salle de soutenance de la Facult\u00e9 des Sciences Intitul\u00e9\u00a0de la th\u00e8se\u00a0: Inf\u00e9rence dans un mod\u00e8le autor\u00e9gressif avec tendance et \u00e0 contaminations multiples\u00a0: Approche Bay\u00e9sienne Devant le jury d\u2019examen compos\u00e9 de\u00a0: Hocine FELLEG […]<\/p>\n","protected":false},"author":13,"featured_media":6032,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[1,9],"tags":[],"class_list":["post-20991","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe","category-new_dep_maths"],"yoast_head":"\nAvis de soutenance de Doctorat en Math\u00e9matiques de Madame Ait Mohammed Noura - Facult\u00e9 des Sciences<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ummto.dz\/fs\/avis-de-soutenance-de-doctorat-en-mathematiques-de-madame-ait-mohammed-noura\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Avis de soutenance de Doctorat en Math\u00e9matiques de Madame Ait Mohammed Noura - Facult\u00e9 des Sciences\" \/>\n<meta property=\"og:description\" content=\"Madame \u00a0Noura Ait Mohammed soutiendra sa th\u00e8se de Doctorat en Sciences\u00a0 en Math\u00e9matiques,\u00a0 option: \u00a0Probabilit\u00e9s & Statistique,\u00a0le jeudi 21 septembre 2023\u00a0\u00e0 09h30. 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