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2. Bayesian Model Selection in terms of Kullback-Leibler discrepancy
3. Contagion and Systemic Risk in Financial Networks
4. Dynamic Targeted Pricing in B2B Settings
5. On testing the change-point in the longitudinal bent line quantile regression model
6. Rater Drift in Constructed Response Scoring via Latent Class Signal Detection Theory and Item Response Theory
7. Self-controlled methods for postmarketing drug safety surveillance in large-scale longitudinal data
8. Some Nonparametric Methods for Clinical Trials and High Dimensional Data
9. State-Space Models and Latent Processes in the Statistical Analysis of Neural Data
10. Statistical methods for indirectly observed network data
11. Contributions to Semiparametric Inference to Biased-Sampled and Financial Data
12. Detecting Dependence Change Points in Multivariate Time Series with Applications in Neuroscience and Finance
13. Modeling Strategies for Large Dimensional Vector Autoregressions
14. Some Models for Time Series of Counts
15. Sparse selection in Cox models with functional predictors
16. Statistical inference in two non-standard regression problems
17. Statistics for Learning Genetics
18. The Relation between Uncertainty in Latent Class Membership and Outcomes in a Latent Class Signal Detection Model
19. An Item Response Theory Approach to Causal Inference in the Presence of a Pre-intervention Assessment
20. Bayesian Multidimensional Scaling Model for Ordinal Preference Data
21. Credit Risk Modeling and Analysis Using Copula Method and Changepoint Approach to Survival Data
22. Estimation and Testing Methods for Monotone Transformation Models
23. Generalized Volatility-Stabilized Processes
24. Inference of functional neural connectivity and convergence acceleration methods
25. Kernel-based association measures
26. Low-rank graphical models and Bayesian inference in the statistical analysis of noisy neural data
27. Nonlinear penalized estimation of true Q-matrix in cognitive diagnostic models
28. Optimization Algorithms for Structured Machine Learning and Image Processing Problems
29. Penalized Joint Maximum Likelihood Estimation Applied to Two Parameter Logistic Item Response Models
30. Statistical Inference for Diagnostic Classification Models
31. Stochastic Models of Limit Order Markets
32. The Cognitive and Demographic Variables that Underlie Notetaking and Review in Mathematics: Does Quality of Notes Predict Test Performance in Mathematics?
33. Tropical Cyclone Risk Assessment Using Statistical Models
34. Two Papers of Financial Engineering Relating to the Risk of the 2007--2008 Financial Crisis
35. Use of External Representations in Reasoning about Causality
36. A Point Process Model for the Dynamics of Limit Order Books
37. Convex Optimization Algorithms and Recovery Theories for Sparse Models in Machine Learning
38. Estimating the Q-matrix for Cognitive Diagnosis Models in a Bayesian Framework
39. Hydroclimatology of Extreme Precipitation and Floods Originating from the North Atlantic Ocean
40. Interaction-Based Learning for High-Dimensional Data with Continuous Predictors
41. Limit Theory for Spatial Processes, Bootstrap Quantile Variance Estimators, and Efficiency Measures for Markov Chain Monte Carlo
42. Making it Count: Statistics and State-Society Relations in the Early People's Republic of China, 1949-1959
43. Mixed Methods for Mixed Models
44. Population Genetics of Identity By Descent
45. Semiparametric Estimation of a Gaptime-Associated Hazard Function
46. Statistical Inference and Experimental Design for Q-matrix Based Cognitive Diagnosis Models
47. Statistical modeling and statistical learning for disease prediction and classification
48. Unbiased Penetrance Estimates with Unknown Ascertainment Strategies
49. Understanding the Nature of Stellar Chemical Abundance Distributions in Nearby Stellar Systems
50. A Graphon-based Framework for Modeling Large Networks
51. Analyzing Hierarchical Data with the DINA-HC Approach
52. An Assortment of Unsupervised and Supervised Applications to Large Data
53. Efficiency in Lung Transplant Allocation Strategies
54. Extreme Storm Surge Hazard Estimation and Windstorm Vulnerability Assessment for Quantitative Risk Analysis
55. Learning Structure in Time Series for Neuroscience and Beyond
56. Methods for handling measurement error and sources of variation in functional data models
57. On Identifying Rare Variants for Complex Human Traits
58. Using neuroimaging to investigate the effect of expertise in rapid perceptual decision making
59. Advances in Model Selection Techniques with Applications to Statistical Network Analysis and Recommender Systems
60. Asymptotic Theory and Applications of Random Functions
61. Deconstructing Spinal Interneurons, one cell type at a time
62. Dynamics of Large Rank-Based Systems of Interacting Diffusions
63. Estimation of Q-matrix for DINA Model Using the Constrained Generalized DINA Framework
64. Latent Variable Modeling and Statistical Learning
65. Measuring Spatial Extremal Dependence
66. Methods for Personalized and Evidence Based Medicine
67. New perspectives on learning, inference, and control in brains and machines
68. On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference
69. Rents, Patronage, and Defection: State-building and Insurgency in Afghanistan
70. Semiparametric inference with shape constraints
71. Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts
72. The emergence of the data science profession
73. Accurate and Sensitive Quantification of Protein-DNA Binding Affinity
74. Advances in Credit Risk Modeling
75. A unified view of high-dimensional bridge regression
76. Cooperative Sequential Hypothesis Testing in Multi-Agent Systems
77. Developing an approach to determine generalizability: A review of efficacy and effectiveness trials funded by the Institute of Education Sciences
78. Developing Statistical Methods for Incorporating Complexity in Association Studies
79. Distributionally Robust Optimization and its Applications in Machine Learning
80. Distributionally Robust Performance Analysis with Applications to Mine Valuation and Risk
81. Efficient Estimation of the Expectation of a Latent Variable in the Presence of Subject-Specific Ancillaries
82. Empirical Bayes, Bayes factors and deoxyribonucleic acid fingerprinting
83. Essays on Matching and Weighting for Causal Inference in Observational Studies
84. Expansion of a filtration with a stochastic process: a high frequency trading perspective
85. Flexible Sparse Learning of Feature Subspaces
86. Identification and Validation of Structures in Neural Population Responses
87. Marginal Screening on Survival Data
88. Methods for functional regression and nonlinear mixed-effects models with applications to PET data
89. Property Testing and Probability Distributions: New Techniques, New Models, and New Goals
90. Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data
91. Single Channel auditory source separation with neural network
92. Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis
93. Structured Tensor Recovery and Decomposition
94. Time Series Modeling with Shape Constraints
95. A Bayesian Approach to the Understanding of Exoplanet Populations and the Origin of Life
96. A Hypothesis Testing Procedure Designed for Q-Matrix Validation of Diagnostic Classification Models
97. Application of Distance Covariance to Extremes and Time Series and Inference for Linear Preferential Attachment Networks
98. Bayesian Modeling Strategies for Complex Data Structures, with Applications to Neuroscience and Medicine
99. Diagnostic Classification Modeling of Rubric-Scored Constructed-Response Items
100. Essays in Cluster Sampling and Causal Inference
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