Current graduate students
David Sprott Distinguished Lecture by Martin Wainwright, University of California, Berkeley
Some new phenomena in high-dimensional statistics and optimization
David Sprott distinguished lecture by Raymond J. Carroll, Texas A&M University
Constrained maximum likelihood estimation for model calibration using summary-level information from external big data sources.
Information from various public and private data sources of extremely large sample
WatRISQ seminar by Steven Kou, National University of Singapore
Robust measurement of economic tail risk
We prove that the only tail risk measure that satisfies a set of economic axioms proposed by Schmeidler (1989, Econometrica) and a statistical requirement called elicitability (i.e. there exists an objective function such that a reasonable estimator must be a solution of minimizing the expected objective function) is the median shortfall, which is the median of the tail loss distribution and is also the VaR at a high confidence level.
David Sprott distinguished lecture by William Woodall, Virginia Tech
Monitoring and Improving Surgical Quality
Some statistical issues related to the monitoring of surgical quality will be reviewed in this presentation. The important role of risk-adjustment in healthcare, used to account for variations in the condition of patients, will be described. Some of the methods for monitoring quality over time, including a new one, will be outlined and illustrated with examples.
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