Kamiar Rahnama Rad
Associate Professor at Zicklin School of Business
Schools
- Zicklin School of Business
Links
Biography
Zicklin School of Business
Academic Degrees
BS, Sharif University of Technology, Electrical Engineering, 2004
MS, UCLA, Electrical Engineering, 2006
PhD, Columbia University, Statistics, 2011
Areas of Expertise
Scalable High Dimensional Inference, Machine Learning, Computational Neuroscience
Publications
K.Rahnama Rad, T. Machado, and L. Paninski, Robust and scalable Bayesian analysis of spatial neural tuning function data, Annals of Applied Statistics (in press), 2017.
EA Pnevmatikakis, K. Rahnama Rad, J Huggins, L Paninski, Fast Kalman Filtering and Forward–Backward Smoothing via a Low-Rank Perturbative Approach, Journal of Computational and Graphical Statistics 23 (2), 316-339, 2014.
K. Rahnama Rad, Nearly sharp sufficient conditions on exact sparsity pattern recovery, IEEE Transactions on Information Theory 57 (7), 4672-4679, 2011.
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