Physics – Data Analysis – Statistics and Probability
Scientist
Physics
Data Analysis, Statistics and Probability
Scientist
University of Chicago Graduate School of Business
A Short Note on Gaussian Process Modeling for Large Datasets using Graphics Processing Units
Bayesian Variable Selection with Related Predictors
Branch and Bound Algorithms for Maximizing Expected Improvement Functions
Mixed-Membership Stochastic Block-Models for Transactional Networks
On the underestimation of model uncertainty by Bayesian K-nearest neighbors
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