Dr. Adel Mohammadpour
Affiliations
Adjunct Assistant Professor
University of Calgary
Contact information
Location
Office: Mathematical Sciences MS 464
I'm looking for...
Research partners
Funding
Background
Educational Background
BSc, MSc, and PhD in Statistics, Shiraz University,
PostDoc Researcher CentraleSupélec, CNRS, Université Paris-Saclay, Laboratoire des signaux et systèmes (L2S),
Research
Areas of Research
Courses
| Course number | Course title | Semester |
|---|---|---|
| DATA 606 | Statistical Methods in Data Science | Winter 2025 |
| STAT 217 | Introduction to Statistics II | Spring 2025 |
| STAT 205 | Introduction to Statistical Inquiry | Spring 2025 |
| DATA 691 | Integrated Topics in Data Science and Analytics | Fall 2025 |
Projects
Model evaluation is the process of finding the optimal classifier for prediction.
Is Evaluation Based on Accuracy of Classification Algorithms Misleading?
An Approach to Model Validation Using Bayes Error Rate.
The Generalized Central Limit Theorem states that the limiting distributions of properly normalized sums of independent random vectors are stable without a finite variance assumption. Despite over a century of research there is still no widely accepted strategy for implementing robust parametric methods in machine learning for such data, commonly referred to as heavy-tailed data. This research program aims to develop a new generation of machine learning algorithms tailored to non-Gaussian, heavy-tailed data.
Publications
Are you the profile owner?
Login to edit.