Manaf Ahmed

Manaf Ahmed
University of Mosul · Department of Statistics and Informatics

PhD in Applied Mathematics- Statistics/ University of Lyon-France

About

8
Publications
454
Reads
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12
Citations
Introduction
I'm Manaf Ahmed, a faculty member at the Department of Statistics and Informatics - University of Mosul, Iraq. I have earned my Ph.D. degree and Post-doc fellowship from the Institut Camille Jordan UMR 5208 - ICJ at Universit Claude Bernard Lyon 1, Lyon, France in 2017 and 2020, respectively.
Additional affiliations
October 2013 - July 2019
Claude Bernard University Lyon 1
Position
  • Researcher
April 2010 - January 2022
University of Mosul
Position
  • Faculty Member
April 2010 - January 2022
University of Mosul
Position
  • Faculty Member
Education
October 2013 - July 2017
Claude Bernard University Lyon 1
Field of study
  • Applied Mathematics - Statistics
September 2007 - February 2009
University of Mosul
Field of study
  • Statistics
September 1996 - June 2000
University of Mosul
Field of study
  • Statistics

Publications

Publications (8)
Article
Full-text available
Understanding the behavior of extreme environmental events is crucial for evaluating economic losses, assessing risks, and providing health care, among many other related aspects. In a spatial context, relevant for environmental events, the dependence structure is extremely important, influencing joint extreme events and extrapolating on them. Thus...
Conference Paper
Often the environmental or climate events are represented by spatial data, as well as in extreme cases. So, taking into account the spatial features of these events is essential for any risk to be assessed. Most of the previously proposed spatial risk measures considered the dispersion of the loss function as the severity amount of the risk. This i...
Article
Full-text available
Particle swarm optimization PSO is one of the appropriate methods for solving NP-hard problems. So, improving PSO has sense. The permutation flow shop scheduling is one of these problems. In this paper, the permutation flow shop scheduling problems are solved by using improved particle swarm optimization named IPSO. The improvement is done by repla...
Preprint
Full-text available
Understanding the behaviour of environmental extreme events is crucial for evaluating economic losses, assessing risks, health care and many other aspects. In the spatial context, relevant for environmental events, the dependence structure plays a central rule, as it influence joined extreme events and extrapolation on them. So that, recognising or...
Article
Full-text available
In this paper, we study the quantitative behavior of a spatial risk measure corresponding to a damage function and a region, taking into account the spatial dependence of the underlying process. This kind of risk measure has already been introduced and studied for some max-stable processes in [Koch2015]. In this paper, we consider isotropic Gaussia...
Article
Full-text available
We proposed a semi-parametric estimation procedure in order to estimate the parameters of a max-mixture model and also of a max-stable model (inverse max-stable model) as an alternative to composite likelihood. A good estimation by the proposed estimator required the dependence measure to detect all dependence structures in the model, especially wh...
Thesis
Full-text available
When dealing with environmental or climatic changes, a natural spatial dependence aspect appears. This thesis is dedicated to the study of risk measures in this spatial context. In the first part (Chapters 3 and 4), we study risk measures, which include the natural spatial dependence structure in order to assess the risks due to extreme environment...
Article
Full-text available
In this paper, we consider isotropic and stationary max-stable, inverse max-stable and max-mixture processes $X=(X(s))\_{s\in\bR^2}$ and the damage function $\cD\_X^{\nu}= |X|^\nu$ with $0<\nu<1/2$. We study the quantitative behavior of a risk measure which is the variance of the average of $\cD\_X^{\nu}$ over a region $\mathcal{A}\subset \bR^2$.}...

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Projects

Project (1)
Project
The goal of the project consists of two parts. The first part is devoted to extending the method of estimating the spatial risk measures of the max-mixture process to estimating Spatio-temporal risk measures for the same process, so that taking into account space and time simultaneously, and the second part applied these risk measures in the environmental events.