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2. Identifying and Targeting Master Regulators of Drug Resistance in Lung Adenocarcinoma through Network Analysis of Tumor Transcriptomic Data
3. Inference in ERGMs and Ising Models.
4. Large Dimensional Data Analysis using Orthogonally Decomposable Tensors: Statistical Optimality and Computational Tractability
5. Martingale Schrodinger Bridges and Optimal Semistatic Portfolios
6. On the Multiway Principal Component Analysis
7. Process Data Applications in Educational Assessment
8. Statistical Methods for Structured Data: Analyses of Discrete Time Series and Networks
9. Toward Annotation Efficiency in Biased Learning Settings for Natural Language Processing
10. Advances in Machine Learning for Complex Structured Functional Data
11. Advances in Machine Learning for Compositional Data
12. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing
13. Latent Variable Models for Events on Social Networks
14. Learning predictive models from menstrual cycle data
15. Modeling Random Events
16. Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling
17. On Recovering the Best Rank-? Approximation from Few Entries
18. Overlapping Communities on Large-Scale Networks: Benchmark Generation and Learning via Adaptive Stochastic Optimization
19. Privacy-Aware Data Analysis: Recent Developments for Statistics and Machine Learning
20. Statistical approach to tagging stellar birth groups in the Milky Way
21. Statistical Perspectives on Modern Network Embedding Methods
22. A Cognitively Diagnostic Modeling Approach to Diagnosing Misconceptions and Subskills
23. A Computational Perspective of Causal Inference and the Data Fusion Problem
24. Advances in Statistical Machine Learning Methods for Neural Data Science
25. Beyond summary statistics: extracting etiological insights from genome-wide association cohorts
26. Causal Mediation Analysis for Effect Heterogeneity
27. Characterization of the Fluctuations in a Symmetric Ensemble of Rank-Based Interacting Particles
28. Deconvolution Problems for Structured Sparse Signal
29. Essays in Applied Econometrics and Labor Economics
30. Event History Analysis in Multivariate Longitudinal Data
31. Exploring a Generalizable Machine Learned Solution for Early Prediction of Student At-Risk Status
32. High-dimensional Asymptotics for Phase Retrieval with Structured Sensing Matrices
33. Meta-analyzing logistic regression slopes: A partial effect size for categorical outcomes
34. Modeling the Likelihood of Construction Incidents Using Public Data
35. Modelling Conditional Dependence Between Response Time and Accuracy in Cognitive Diagnostic Models
36. Multiple Imputation for Handling Missing Data of Covariates in Meta-Regression
37. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods
38. Phase retrieval in the high-dimensional regime
39. Semiparametric Inference of Censored Data with Time-dependent Covariates
40. Sequential Rerandomization in the Context of Small Samples
41. Statistical Learning for Process Data
42. Statistical Methods for Modeling Progression and Learning Mechanisms of Neuropsychiatric Disorders
43. Toward a scalable Bayesian workflow
44. Variational Bayesian Methods for Inferring Spatial Statistics and Nonlinear Dynamics
45. A Geometric Approach to Dynamical System: Global Analysis for Non-Convex Optimization
46. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates
47. Data-Driven Quickest Change Detection
48. Decoding Starlight with Big Survey Data, Machine Learning, and Cosmological Simulations
49. Deep Probabilistic Graphical Modeling
50. Essays in Econometrics
51. Exact simulation algorithms with applications in queueing theory and extreme value analysis
52. Feature Selection for High Dimensional Causal Inference
53. Generative Modeling and Inference in Directed and Undirected Neural Networks
54. High-dimensional asymptotics: new insights and methods
55. Human Papillomavirus Vaccination, Online Health Information Seeking, and Health Literacy among Transgender and Gender Nonbinary People
56. Latent Variable Models in Measurement: Theory and Application
57. Machine Learning Methods for Causal Inference with Observational Biomedical Data
58. Multiple Causal Inference with Bayesian Factor Models
59. New perspectives in cross-validation
60. Optimization Foundations of Reinforcement Learning
61. Partition-based Model Representation Learning
62. Predicting Autonomous Promoter Activity Based on Genome-wide Modeling of Massively Parallel Reporter Data
63. Probabilistic Programming for Deep Learning
64. Sequential Decision Making with Combinatorial Actions and High-Dimensional Contexts
65. Some Statistical Models for Prediction
66. Statistical Analysis of Complex Data in Survival and Event History Analysis
67. Training Decision Trees for Optimal Decision-Making
68. Uncertainty Quantification in Data-Driven Simulation and Optimization: Statistical and Computational Efficiency
69. Advances in Deep Generative Modeling With Applications to Image Generation and Neuroscience
70. Applications of Modern Statistical Mechanics: Molecular Transport and Statistical Learning
71. A Three-Paper Dissertation on Longitudinal Data Analysis in Education and Psychology
72. Can a Test Measure Teaching Quality? Validity of Mexico’s Teacher Entry Examination After the 2013 Education Reform
73. Cognitive Diagnostic Models-based Automatic Item Generation: Item Feature Exploration and Calibration Model Selection
74. Daily Vitamin D3 Supplementation as a Treatment for Health Disparities
75. Essays in High Dimensional Time Series Analysis
76. Essays on Demand Estimation, Financial Economics and Machine Learning
77. Extreme Storm Surge Return Period Prediction Using Tidal Gauge Data and Estimation of Damage to Structures from Storm-Induced Wind Speed in South Korea
78. Limit theorems beyond sums of I.I.D observations
79. Linear Constraints in Optimal Transport
80. Modern Statistical/Machine Learning Techniques for Bio/Neuro-imaging Applications
81. Point Process Models for Heterogeneous Event Time Data
82. Robust Statistical Approaches Dealing with High-Dimensional Observational Data
83. Scalable Community Detection in Massive Networks using Aggregated Relational Data
84. Statistical Methods for Epigenetic Data
85. Statistical Methods for Genetic Studies with Family History of Diseases
86. Studies of Extensions of HRM-SDT for Constructed Responses
87. The MNL-Bandit Problem: Theory and Applications
88. Three Contributions to Latent Variable Modeling
89. Three New Studies on Model-data Fit for Latent Variable Models in Educational Measurement
90. A Bayesian Approach to the Understanding of Exoplanet Populations and the Origin of Life
91. A Hypothesis Testing Procedure Designed for Q-Matrix Validation of Diagnostic Classification Models
92. Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks
93. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine
94. Diagnostic Classification Modeling of Rubric-Scored Constructed-Response Items
95. Essays in Cluster Sampling and Causal Inference
96. Essays on Simulation-Based Estimation
97. Exact Simulation Techniques in Applied Probability and Stochastic Optimization
98. Ex-Communist Party Choices and the Electoral Success of the Radical Right in Central and Eastern Europe
99. Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors
100. Matching in Marriage Market and Labor Market
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