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