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Office of the Provost and Senior Vice President for Academic Affairs
Message Archive
Thursday, May 11, 2017
This email is being sent to all members of the Baruch College faculty.
For an archive of announcements sent from the Associate Provost beginning June 2011, click here.
The Information Systems and Statistics Research Seminar Series
Presented by the Paul H. Chook Department of
Information Systems and Statistics
Scalable and Robust Model Estimation and Predictive Performance Assessment
Prof. Kamiar Rahnama Rad, Baruch College
From: Prof. Rongning Huang, Paul H. Chook Department of Information Systems and Statistics
Tuesday, May 16, 2017, 12:30pm-1:45pm, NVC 11-217 (IS-STA Conference Room)
Scalable and Robust Model Estimation and Predictive Performance Assessment
Prof. Kamiar Rahnama Rad, Baruch College
Abstract: The complexity of models and the massive size of structured big data call for computationally efficient and statistically robust methodologies that avoid overfitting and undue bias. I will show how to innovate scalable statistical methodologies for model estimation and predictive performance assessment, taking advantage of the high dimensionality of contemporary data sets. I will demonstrate the robustness, scalability, and statistical efficiency of this approach by applying it to both synthetic and real data.
Prof. Kamiar Rahnama Rad is an Assistant Professor in the Department of Information Systems and Statistics. He completed his BSc in Electrical Engineering at Sharif University of Technology (Tehran), MS in Electrical Engineering at UCLA, and PhD in Statistics at Columbia University. His research interests in Computational Statistics, Information Theory, and Machine Learning are wide-ranging, and his research focuses on scalable and robust high dimensional inference, with applications to computational neuroscience.