Skip to main content
User Image

Rafik Amor Aguech

Professor

Faculty member

كلية العلوم
Building 4, Floor 1, Office No. 2B 44

announcement

announcement
19
Apr 2024

I have the pleasure  to inform you that since  …

introduction/brief CV

Englisch Presentation: Rafik Amor Aguech, born in Sfax, Tunisia on December 31, 1971. I had my baccalaureate in 1990, then I followed my university studies at the faculty of sciences of Bizerte, Tunisia,  where I had my master's degree in mathematics  in June 1994. From October 1994 until June 1995 I prepared my DEA at the University of Paris 6 under the supervision of Professor Jean Lacroix. Then I prepared my doctoral thesis under the direction of Professors Pierre Priouret and Eric Moulines which I defended in January 2000.

publications
see all

publications

In this paper, we consider a two-dimension symmetric random walk with reset. We give, in the first part, some results about the distribution of every component. In the second part, we give some…

by R. Aguech, M. Abdelkadeur
2023
publications

In this paper, we give some results about a multi-drawing urn with random

addition matrix. The process that we study is described as: at stage n ≥ 1,

we pick out at random…

by R. Aguech, W. Jedidi, O. Selmi
2023
publications

I

In this article, we consider several models of random walks in one or several

dimensions, additionally allowing, at any unit of time, a reset (or “catastrophe”) of

the walk…

by R. Aguech, C. Banderier, A. Althakafi
2024

courses
see all

course

مبادئ علم الحسابات الحيوية. أدوات وصف وتلخيص البيآنت؛ طرق الاستدلال على النسب الاحصائية والتعداد. اختبار الفرضيات الاحصائية؛ مقارانت المجاميع؛ الانحدار الخطي البسيط. تحليل البيآنت المتقاطعة…

course

Methods of point estimation - Properties of estimators - Confidence intervals - Hypothesis testing - Uniformly most powerful tests - Likelihood ratio tests - Univariate normal inference - Some…

course

Methods of point estimation - Properties of estimators - Confidence intervals - Hypothesis testing - Uniformly most powerful tests - Likelihood ratio tests - Univariate normal inference - Some…

office hours

Saturday Sunday Monday Tuesday Wednesday Thursday Friday
from _ 02:00 PM _ 09:00 AM 03:00 PM 02:00 PM _
to _ 05:00 PM _ 12:30 PM 06:00 PM 06:00 PM _
location _ Office B2, 44 Office B2, 44 _ Office B2, 44 Office B2, 44 Office B2, 44 Office B2, 44 Office B2, 44 Office B2, 44 _