Summer Program for Operations Research Technology (SPORT) The SPORT program at the National Security Agency (NSA) offers graduate students the opportunity to apply their academic knowledge in a stimulating professional environment. As a SPORT intern you will … Read more
The Department of Statistics and Operations Research The University of North Carolina at Chapel Hill Graduate Student Seminar Friday, September 1st, 2023 125 Hanes Hall 3:30-4:00pm or via Zoom: https://unc.zoom.us/j/92731259806?pwd=eTc3Ylo0SWNFOHV4eERvSjRrUmlKQT09 Meeting ID: 927 3125 9806 Passcode: 100210 UNC Chapel Hill … Read more
The Department of Statistics and Operations Research The University of North Carolina at Chapel Hill Graduate Student Seminar Friday, August 25th, 2023 125 Hanes Hall 3:30-4:30pm or via Zoom: https://unc.zoom.us/j/92731259806?pwd=eTc3Ylo0SWNFOHV4eERvSjRrUmlKQT09 Meeting ID: 927 3125 9806 Passcode: 100210 Hank Flury UNC … Read more
The Department of Statistics and Operations Research University of North Carolina at Chapel Hill Ph.D. Defense Thursday May 11th, 2023 1pm Location: Hanes 125 or Zoom: https://unc.zoom.us/j/99892878701 Taylor Petty Under the direction of Jan Hannig (UNC) and Hariharan Iyer … Read more
Large deviations in data science: some initial examples The theory of large deviations has become a cornerstone of modern probability theory. It has proven particularly useful in the analysis and design of efficient stochastic numerical methods. Examples include methods … Read more
Multivariate Power Laws and Preferential Attachment Modeling In one-dimension, heavy tails or power-laws are easily understood to represent Pareto like behavior where data plotted on a log-log scale looks roughly linear. The generalization to higher dimensions is not always obvious … Read more
Multivariate Power Laws and Preferential Attachment Modeling In one-dimension, heavy tails or power-laws are easily understood to represent Pareto like behavior where data plotted on a log-log scale looks roughly linear. The generalization to higher dimensions is not always obvious … Read more
Multivariate Power Laws and Preferential Attachment Modeling In one-dimension, heavy tails or power-laws are easily understood to represent Pareto like behavior where data plotted on a log-log scale looks roughly linear. The generalization to higher dimensions is not always obvious … Read more
Multivariate Power Laws and Preferential Attachment Modeling In one-dimension, heavy tails or power-laws are easily understood to represent Pareto like behavior where data plotted on a log-log scale looks roughly linear. The generalization to higher dimensions is not always obvious … Read more
Multivariate Power Laws and Preferential Attachment Modeling In one-dimension, heavy tails or power-laws are easily understood to represent Pareto like behavior where data plotted on a log-log scale looks roughly linear. The generalization to higher dimensions is not always obvious … Read more
Multivariate Power Laws and Preferential Attachment Modeling In one-dimension, heavy tails or power-laws are easily understood to represent Pareto like behavior where data plotted on a log-log scale looks roughly linear. The generalization to higher dimensions is not always obvious … Read more
