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2. Why we (usually) don't have to worry about multiple comparisons
3. Why we (usually) don't have to worry about multiple comparisons
4. Why we (usually) don't have to worry about multiple comparison
5. When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
6. What will we know on Tuesday at 7pm?
7. What does "Do campaigns matter?" mean?
8. Varying-Coefficient Models and Functional Data Analyses for Dynamic Networks and Wearable Device Data
9. Variational Bayesian Methods for Inferring Spatial Statistics and Nonlinear Dynamics
10. Using SAS® Arrays to Calculate Bouts of Moderate to Vigorous Physical Activity from Minute-by-Minute Fitbit Data
11. Using neuroimaging to investigate the effect of expertise in rapid perceptual decision making
12. Using individual growth model to analyze the change in quality of life from adolescence to adulthood
13. Use of External Representations in Reasoning about Causality
14. Understanding the Nature of Stellar Chemical Abundance Distributions in Nearby Stellar Systems
15. Uncertainty Quantification in Data-Driven Simulation and Optimization: Statistical and Computational Efficiency
16. Uncertainty Quantification in Composite Materials
17. Unbiased Penetrance Estimates with Unknown Ascertainment Strategies
18. Two Papers of Financial Engineering Relating to the Risk of the 2007--2008 Financial Crisis
19. Tropical Cyclone Risk Assessment Using Statistical Models
20. Tree-Based Integration of One-versus-Some (OVS) Classifiers for Multiclass Classification
21. Training Decision Trees for Optimal Decision-Making
22. Toward a scalable Bayesian workflow
23. Toward Annotation Efficiency in Biased Learning Settings for Natural Language Processing
24. Topics in Computational Bayesian Statistics With Applications to Hierarchical Models in Astronomy and Sociology
25. Time Series Modeling with Shape Constraints
26. Three New Studies on Model-data Fit for Latent Variable Models in Educational Measurement
27. Three Contributions to Latent Variable Modeling
28. Thoughts on new statistical procedures for age-period-cohort analyses
29. The WTO Dispute Settlement System: 1995-2010 Some Descriptive Statistics
30. The Statistical Relationship between the Elderly Population and Allocation of Welfare Facilities in Seoul, South Korea
31. The Representation of Social Processes by Markov Models
32. The Relation between Uncertainty in Latent Class Membership and Outcomes in a Latent Class Signal Detection Model
33. The Prior Can Often Only Be Understood in the Context of the Likelihood
34. The playing field shifts: Predicting the seats-votes curve in the 2008 U.S. House election
35. The persistent signature of tropical cyclones in ambient seismic noise
36. The Ordered Latent Transition Analysis Model for the Measurement of Learning
37. The MNL-Bandit Problem: Theory and Applications
38. The emergence of the data science profession
39. The Cognitive and Demographic Variables that Underlie Notetaking and Review in Mathematics: Does Quality of Notes Predict Test Performance in Mathematics?
40. The Centrality of Sadness: Networks of Depression, Grief, and Trauma Symptoms in a Spousally Bereaved Sample
41. Surveying Hard-to-Reach Groups Through Sampled Respondents in a Social Network
42. Studies of Extensions of HRM-SDT for Constructed Responses
43. Struggles with survey weighting and regression modeling
44. Structured Tensor Recovery and Decomposition
45. Stochastic Models of Limit Order Markets
46. Stochastic Differential Equations and Strict Local Martingales
47. Statistics of surface divergence and their relation to air-water gas transfer velocity
48. Statistics for Learning Genetics
49. Statistical Searches for Microlensing Events in Large, Non-Uniformly Sampled Time-Domain Surveys: A Test Using Palomar Transient Factory Data
50. Statistical Perspectives on Modern Network Embedding Methods
51. Statistical modeling and statistical learning for disease prediction and classification
52. Statistical Methods for Structured Data: Analyses of Discrete Time Series and Networks
53. Statistical Methods for Modeling Progression and Learning Mechanisms of Neuropsychiatric Disorders
54. Statistical Methods for Modeling Biomarkers of Neuropsychiatric Diseases
55. Statistical Methods for Integrated Cancer Genomic Data Using a Joint Latent Variable Model
56. Statistical methods for indirectly observed network data
57. Statistical Methods for Genetic Studies with Family History of Diseases
58. Statistical Methods for Epigenetic Data
59. Statistical Machine Learning Methods for the Large Scale Analysis of Neural Data
60. Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis
61. Statistical Learning for Process Data
62. Statistical inference in two non-standard regression problems
63. Statistical Inference for Diagnostic Classification Models
64. Statistical Inference and Experimental Design for Q-matrix Based Cognitive Diagnosis Models
65. Statistical evaluation of test-retest studies in PET brain imaging
66. Statistical–Dynamical Seasonal Forecasts of Central-Southwest Asian Winter Precipitation
67. Statistical correction of the Winner’s Curse explains replication variability in quantitative trait genome-wide association studies
68. Statistical approach to tagging stellar birth groups in the Milky Way
69. Statistical Analysis of Complex Data in Survival and Event History Analysis
70. State-Space Models and Latent Processes in the Statistical Analysis of Neural Data
71. Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts
72. Sparse selection in Cox models with functional predictors
73. SPAr package for Fan and Lo (2013) "A robust model-free approach for rare variants association studies incorporating gene-gene and gene-environmental interactions."
74. Spacial Networks and Housing: An Analysis of Foreign Born West Africans and Chinese Populations in NYC and LA
75. Source codes for GLMLE algorithm
76. Some Statistical Models for Prediction
77. Some Nonparametric Methods for Clinical Trials and High Dimensional Data
78. Some Models for Time Series of Counts
79. Some computational and modeling issues for hierarchical models
80. Social and political polarization, and some other topics in network analysis
81. Single Channel auditory source separation with neural network
82. Signs of the 2009 Influenza Pandemic in the New York-Presbyterian Hospital Electronic Health Records
83. Signal-to-noise ratio aware minimaxity and its asymptotic expansion
84. Sequential Rerandomization in the Context of Small Samples
85. Sequential Decision Making with Combinatorial Actions and High-Dimensional Contexts
86. Separation and Completeness Properties for Amp Chain Graph Markov Models
87. Semiparametric inference with shape constraints
88. Semiparametric Inference of Censored Data with Time-dependent Covariates
89. Semiparametric Estimation of a Gaptime-Associated Hazard Function
90. Semi-convergence of an Iterative Algorithm
91. Self-controlled methods for postmarketing drug safety surveillance in large-scale longitudinal data
92. Selected Legal Applications for Bayesian Methods
93. Segregation in Social Networks Based on Acquaintanceship and Trust
94. Scoring Model Predictions using Cross-Validation
95. Scalable Community Detection in Massive Networks using Aggregated Relational Data
96. Sampling for Bayesian computation with large datasets
97. Sample Palomar Transient Factory light curves
98. Robust Statistical Approaches Dealing with High-Dimensional Observational Data
99. Rich state, poor state, red state, blue state: What's the matter with Connecticut?
100. Reporting of analyses from randomized controlled trials with multiple arms: a systematic review
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