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1. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods

Li, Tong
2021
Theses
StatisticsGaussian processesNonparametric statistics

2. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates

Huang, Sihan
2020
Theses
StatisticsMachine learningSocial networksAlgorithms--Evaluation

3. Deep Probabilistic Graphical Modeling

Dieng, Adji Bousso
2020
Theses
StatisticsComputer scienceGraphical modeling (Statistics)Machine learning

4. High-dimensional asymptotics: new insights and methods

Wang, Shuaiwen
2020
Theses
StatisticsLinear models (Statistics)Regression analysis--Asymptotic theoryEstimation theory--Asymptotic theoryStandard deviations

5. Latent Variable Models in Measurement: Theory and Application

Fang, Guanhua
2020
Theses
StatisticsLatent variablesMathematical modelsPsychometrics--Mathematical modelsEducational tests and measurements

6. Multiple Causal Inference with Bayesian Factor Models

Wang, Yixin
2020
Theses
StatisticsInferenceAlgorithms--DesignBayesian statistical decision theory

7. New perspectives in cross-validation

Zhou, Wenda
2020
Theses
StatisticsStatistics--MethodologyStatistics--Models

8. Partition-based Model Representation Learning

Hsu, Yayun
2020
Theses
StatisticsInference--Data processingStatistics--MethodologyStatistics--ModelsMachine learning--Statistical methods

9. Some Statistical Models for Prediction

Auerbach, Jonathan Lyle
2020
Theses
StatisticsPublic policy (Law)Skyscrapers--Design and constructionPresidents--ElectionClimatic changes--Statistical methodsCriminal statisticsTraffic fatalities

10. Statistical Analysis of Complex Data in Survival and Event History Analysis

Ling, Hok Kan
2020
Theses
StatisticsSurvivalEvent history analysis

11. Advances in Deep Generative Modeling With Applications to Image Generation and Neuroscience

Loaiza Ganem, Gabriel
2019
Theses
StatisticsMachine learningComputer simulationNeurosciences--Data processingNeural networks (Computer science)Digital images

12. Essays in High Dimensional Time Series Analysis

Yousuf, Kashif
2019
Theses
StatisticsEconomicsTime-series analysisTime-series analysis--Data processingRegression analysis

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

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

14. Linear Constraints in Optimal Transport

Stebegg, Florian
2019
Theses
StatisticsMathematicsMartingales (Mathematics)

15. Point Process Models for Heterogeneous Event Time Data

Wu, Jing
2019
Theses
StatisticsPoint processesSocial structureSocial sciences--Data processingOnline social networks

16. Scalable Community Detection in Massive Networks using Aggregated Relational Data

Jones, Timothy
2019
Theses
StatisticsSystem analysisRelational databases

17. Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks

Wan, Phyllis
2018
Theses
StatisticsAnalysis of covarianceTime-series analysis--Mathematical modelsMultivariate analysisSystem analysis

18. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine

Lu, Feihan
2018
Theses
StatisticsBayesian statistical decision theoryData structures (Computer science)Neurosciences--Data processingMedicine--Data processing

19. Bifurcation analysis of two coupled Jansen-Rit neural mass models

Ahmadizadeh, Saeed; Karoly, Philippa J.; Nešić, Dragan; Grayden, David B.; Cook, Mark J.; Soudry, Daniel; Freestone, Dean R.
2018
Articles
Bifurcation theoryNeurologyNeural circuitryEpilepsy--PathophysiologyNeural networks (Neurobiology)Statistics

20. Causal modeling in a multi-omic setting: insights from GAW20

Auerbach, Jonathan; Howey, Richard; Jiang, Lai; Justice, Anne; Li, Liming; Oualkacha, Karim; Sayols-Baixeras, Sergi; Aslibekyan, Stella W.
2018
Articles
GenomicsLipidsDiseasesStatistics