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2. Abstractions for Probabilistic Programming to Support Model Development
3. Accurate and Sensitive Quantification of Protein-DNA Binding Affinity
4. A Cognitively Diagnostic Modeling Approach to Diagnosing Misconceptions and Subskills
5. A Computational Perspective of Causal Inference and the Data Fusion Problem
6. Advances in Credit Risk Modeling
7. Advances in Deep Generative Modeling With Applications to Image Generation and Neuroscience
8. Advances in Machine Learning for Complex Structured Functional Data
9. Advances in Machine Learning for Compositional Data
10. Advances in Model Selection Techniques with Applications to Statistical Network Analysis and Recommender Systems
11. Advances in Statistical Machine Learning Methods for Neural Data Science
12. A Geometric Approach to Dynamical System: Global Analysis for Non-Convex Optimization
13. A Graphon-based Framework for Modeling Large Networks
14. A Hypothesis Testing Procedure Designed for Q-Matrix Validation of Diagnostic Classification Models
15. Analyzing Hierarchical Data with the DINA-HC Approach
16. An Assortment of Unsupervised and Supervised Applications to Large Data
17. An Item Response Theory Approach to Causal Inference in the Presence of a Pre-intervention Assessment
18. A Point Process Model for the Dynamics of Limit Order Books
19. Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks
20. Application of ordered latent class regression model in educational assessment
21. Applications of Modern Statistical Mechanics: Molecular Transport and Statistical Learning
22. Asymptotic Theory and Applications of Random Functions
23. A Three-Paper Dissertation on Longitudinal Data Analysis in Education and Psychology
24. A unified view of high-dimensional bridge regression
25. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine
26. Bayesian Model Selection in terms of Kullback-Leibler discrepancy
27. Bayesian Multidimensional Scaling Model for Ordinal Preference Data
28. Beyond summary statistics: extracting etiological insights from genome-wide association cohorts
29. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing
30. Can a Test Measure Teaching Quality? Validity of Mexico’s Teacher Entry Examination After the 2013 Education Reform
31. Causal Mediation Analysis for Effect Heterogeneity
32. Characterization of the Fluctuations in a Symmetric Ensemble of Rank-Based Interacting Particles
33. Cognitive Diagnostic Models-based Automatic Item Generation: Item Feature Exploration and Calibration Model Selection
34. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates
35. Contagion and Systemic Risk in Financial Networks
36. Contributions to Semiparametric Inference to Biased-Sampled and Financial Data
37. Convex Optimization Algorithms and Recovery Theories for Sparse Models in Machine Learning
38. Cooperative Sequential Hypothesis Testing in Multi-Agent Systems
39. Credit Risk Modeling and Analysis Using Copula Method and Changepoint Approach to Survival Data
40. Daily Vitamin D3 Supplementation as a Treatment for Health Disparities
41. Data-Driven Quickest Change Detection
42. Decoding Starlight with Big Survey Data, Machine Learning, and Cosmological Simulations
43. Deconstructing Spinal Interneurons, one cell type at a time
44. Deconvolution Problems for Structured Sparse Signal
45. Deep Probabilistic Graphical Modeling
46. Detecting Dependence Change Points in Multivariate Time Series with Applications in Neuroscience and Finance
47. Developing an approach to determine generalizability: A review of efficacy and effectiveness trials funded by the Institute of Education Sciences
48. Developing Statistical Methods for Incorporating Complexity in Association Studies
49. Diagnostic Classification Modeling of Rubric-Scored Constructed-Response Items
50. Distributionally Robust Optimization and its Applications in Machine Learning
51. Distributionally Robust Performance Analysis with Applications to Mine Valuation and Risk
52. Dynamics of Large Rank-Based Systems of Interacting Diffusions
53. Dynamic Targeted Pricing in B2B Settings
54. Efficiency in Lung Transplant Allocation Strategies
55. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries
56. Empirical Bayes, Bayes factors and deoxyribonucleic acid fingerprinting
57. Essays in Applied Econometrics and Labor Economics
58. Essays in Cluster Sampling and Causal Inference
59. Essays in Econometrics
60. Essays in High Dimensional Time Series Analysis
61. Essays on Demand Estimation, Financial Economics and Machine Learning
62. Essays on Matching and Weighting for Causal Inference in Observational Studies
63. Essays on Simulation-Based Estimation
64. Estimating the Q-matrix for Cognitive Diagnosis Models in a Bayesian Framework
65. Estimation and Testing Methods for Monotone Transformation Models
66. Estimation of Q-matrix for DINA Model Using the Constrained Generalized DINA Framework
67. Event History Analysis in Multivariate Longitudinal Data
68. Exact simulation algorithms with applications in queueing theory and extreme value analysis
69. Exact Simulation Techniques in Applied Probability and Stochastic Optimization
70. Ex-Communist Party Choices and the Electoral Success of the Radical Right in Central and Eastern Europe
71. Expansion of a filtration with a stochastic process: a high frequency trading perspective
72. Exploring a Generalizable Machine Learned Solution for Early Prediction of Student At-Risk Status
73. Extreme Storm Surge Hazard Estimation and Windstorm Vulnerability Assessment for Quantitative Risk Analysis
74. Extreme Storm Surge Return Period Prediction Using Tidal Gauge Data and Estimation of Damage to Structures from Storm-Induced Wind Speed in South Korea
75. Feature Selection for High Dimensional Causal Inference
76. Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors
77. Flexible Sparse Learning of Feature Subspaces
78. Generalized Volatility-Stabilized Processes
79. Generative Modeling and Inference in Directed and Undirected Neural Networks
80. High-dimensional Asymptotics for Phase Retrieval with Structured Sensing Matrices
81. High-dimensional asymptotics: new insights and methods
82. Human Papillomavirus Vaccination, Online Health Information Seeking, and Health Literacy among Transgender and Gender Nonbinary People
83. Hydroclimatology of Extreme Precipitation and Floods Originating from the North Atlantic Ocean
84. Identification and Validation of Structures in Neural Population Responses
85. Identifying and Targeting Master Regulators of Drug Resistance in Lung Adenocarcinoma through Network Analysis of Tumor Transcriptomic Data
86. Inference in ERGMs and Ising Models.
87. Inference of functional neural connectivity and convergence acceleration methods
88. Interaction-Based Learning for High-Dimensional Data with Continuous Predictors
89. Kernel-based association measures
90. Large Dimensional Data Analysis using Orthogonally Decomposable Tensors: Statistical Optimality and Computational Tractability
91. Latent Variable Modeling and Statistical Learning
92. Latent Variable Models for Events on Social Networks
93. Latent Variable Models in Measurement: Theory and Application
94. Learning predictive models from menstrual cycle data
95. Learning Structure in Time Series for Neuroscience and Beyond
96. Limit theorems beyond sums of I.I.D observations
97. Limit Theory for Spatial Processes, Bootstrap Quantile Variance Estimators, and Efficiency Measures for Markov Chain Monte Carlo
98. Linear Constraints in Optimal Transport
99. Low-rank graphical models and Bayesian inference in the statistical analysis of noisy neural data
100. Machine Learning Methods for Causal Inference with Observational Biomedical Data
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