Edgar Dobriban

Edgar Dobriban
  • Associate Professor of Statistics and Data Science, with secondary appointment in Computer and Information Science

Contact Information

  • office Address:

    305 Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Research Interests: Statistics and machine learning

Overview

Our research interests include problems at the interface of statistics, machine learning, and AI, such as uncertainty quantification, AI safety, robustness, high-dimensional asymptotic statistics, etc.

The group is always looking to expand. We are recruiting PhD students at Penn to work on problems in statistics and machine learning. PhD applicants interested to work with me should mention this on their application. Please apply through the departments of Statistics & Data Science, Computer and Information Science, and the AMCS program, as it gives higher chances for admission.

Recent news:

Miscellanea:

  • I use Twitter to keep up with new research.
  • I grew up in Romania, and speak Hungarian as a first language (the real spelling of my name is Dobribán Edgár). These two countries are and were the origin of many great mathematicians and statisticians, including John von Neumann, Abraham Wald, Paul Erdos, Dan-Virgil Voiculescu, etc…

 

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Research

Talk slides: GitHub.  Google Scholar.

Teaching

Current Courses (Spring 2025)

  • STAT4310 - Statistical Inference

    Graphical displays; one- and two-sample confidence intervals; one- and two-sample hypothesis tests; one- and two-way ANOVA; simple and multiple linear least-squares regression; nonlinear regression; variable selection; logistic regression; categorical data analysis; goodness-of-fit tests. A methodology course. This course does not have business applications but has significant overlap with STAT 1010 and 1020. This course may be taken concurrently with the prerequisite with instructor permission.

    STAT4310002 ( Syllabus )

  • STAT9911 - Sem In Adv Appl Of Stat (ml)

    This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

    STAT9911301 ( Syllabus )

Awards and Honors

Activity

Latest Research

Sunay Joshi, Shayan Kiyani, George J. Pappas, Edgar Dobriban, Seyed Hamed Hassani Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts.
All Research