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