1. Advances in Credit Risk Modeling Neuberg, Richard 2017 Theses Financial riskFinancial risk managementFinance--Statistical methodsFinance--StatisticsCredit--Management--Statistical methodsStatisticsFinance
2. A unified view of high-dimensional bridge regression Weng, Haolei 2017 Theses StatisticsRegression analysisMathematics
3. Distributionally Robust Optimization and its Applications in Machine Learning Kang, Yang 2017 Theses StatisticsRobust optimizationMachine learningMathematical optimization
4. Distributionally Robust Performance Analysis with Applications to Mine Valuation and Risk Dolan, Christopher James 2017 Theses StatisticsMine valuation--Statistical methodsRobust statistics
5. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries Mittel, Louis Buchalter 2017 Theses StatisticsLatent variablesEstimation theory
6. Empirical Bayes, Bayes factors and deoxyribonucleic acid fingerprinting Basu, Ruma 2017 Theses StatisticsDNA fingerprintingBioinformatics
7. Essays on Matching and Weighting for Causal Inference in Observational Studies Resa Juárez, María de los Angeles 2017 Theses StatisticsInferenceStatistical matchingProbabilities
8. Expansion of a filtration with a stochastic process: a high frequency trading perspective Neufcourt, Léo 2017 Theses StatisticsMathematicsFinance
9. Flexible Sparse Learning of Feature Subspaces Ma, Yuting 2017 Theses Mathematical statisticsMachine learning--Statistical methodsMachine learningStatistics
10. Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data Bloem-Reddy, Benjamin Michael 2017 Theses Computer networksMarkov processesInformation networks--Statistical methodsMonte Carlo methodStatistics
11. Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis Gao, Yuanjun 2017 Theses StatisticsNeurosciencesDimensional analysis
12. Time Series Modeling with Shape Constraints Zhang, Jing 2017 Theses StatisticsTime-series analysis--Mathematical models