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1. State-Space Models and Latent Processes in the Statistical Analysis of Neural Data

Vidne, Michael
2011
Theses
MathematicsStatisticsNeurosciences

2. Sparse selection in Cox models with functional predictors

Zhang, Yulei
2012
Theses
BiometryStatisticsMathematics

3. Statistical inference in two non-standard regression problems

Seijo, Emilio Francisco
2012
Theses
StatisticsMathematics

4. The Cognitive and Demographic Variables that Underlie Notetaking and Review in Mathematics: Does Quality of Notes Predict Test Performance in Mathematics?

Belanfante, Elizabeth Andrea
2013
Theses
MathematicsStatisticsEducation

5. Convex Optimization Algorithms and Recovery Theories for Sparse Models in Machine Learning

Huang, Bo
2014
Theses
MathematicsStatisticsOperations research

6. Dynamics of Large Rank-Based Systems of Interacting Diffusions

Bruggeman, Cameron
2016
Theses
Diffusion--Mathematical modelsDispersion--Mathematical modelsPorous materials--Mathematical modelsPortfolio management--Mathematical modelsDiffusion processesMathematicsStatistics

7. A unified view of high-dimensional bridge regression

Weng, Haolei
2017
Theses
StatisticsRegression analysisMathematics

8. Expansion of a filtration with a stochastic process: a high frequency trading perspective

Neufcourt, Léo
2017
Theses
StatisticsMathematicsFinance

9. Stochastic Differential Equations and Strict Local Martingales

Qiu, Lisha
2018
Theses
StatisticsMathematicsStochastic differential equationsMartingales (Mathematics)Convergence

10. Limit theorems beyond sums of I.I.D observations

Austern, Morgane
2019
Theses
StatisticsMathematicsLimit theorems (Probability theory)Symmetry (Mathematics)Central limit theorem

11. Linear Constraints in Optimal Transport

Stebegg, Florian
2019
Theses
StatisticsMathematicsMartingales (Mathematics)
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