Search Results
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. When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
5. What will we know on Tuesday at 7pm?
6. What does "Do campaigns matter?" mean?
7. Unbiased Penetrance Estimates with Unknown Ascertainment Strategies
8. Tree-Based Integration of One-versus-Some (OVS) Classifiers for Multiclass Classification
9. Toward a scalable Bayesian workflow
10. Topics in Computational Bayesian Statistics With Applications to Hierarchical Models in Astronomy and Sociology
11. Time Series Modeling with Shape Constraints
12. Thoughts on new statistical procedures for age-period-cohort analyses
13. The Prior Can Often Only Be Understood in the Context of the Likelihood
14. The playing field shifts: Predicting the seats-votes curve in the 2008 U.S. House election
15. Surveying Hard-to-Reach Groups Through Sampled Respondents in a Social Network
16. Struggles with survey weighting and regression modeling
17. Stochastic Differential Equations and Strict Local Martingales
18. Statistical Perspectives on Modern Network Embedding Methods
19. Statistical methods for indirectly observed network data
20. Statistical Machine Learning Methods for the Large Scale Analysis of Neural Data
21. Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis
22. Statistical Learning for Process Data
23. Statistical inference in two non-standard regression problems
24. Statistical Inference for Diagnostic Classification Models
25. Statistical Inference and Experimental Design for Q-matrix Based Cognitive Diagnosis Models
26. Statistical approach to tagging stellar birth groups in the Milky Way
27. Statistical Analysis of Complex Data in Survival and Event History Analysis
28. Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts
29. SPAr package for Fan and Lo (2013) "A robust model-free approach for rare variants association studies incorporating gene-gene and gene-environmental interactions."
30. Source codes for GLMLE algorithm
31. Some Statistical Models for Prediction
32. Some Nonparametric Methods for Clinical Trials and High Dimensional Data
33. Some Models for Time Series of Counts
34. Some computational and modeling issues for hierarchical models
35. Social and political polarization, and some other topics in network analysis
36. Separation and Completeness Properties for Amp Chain Graph Markov Models
37. Semiparametric inference with shape constraints
38. Semiparametric Inference of Censored Data with Time-dependent Covariates
39. Semiparametric Estimation of a Gaptime-Associated Hazard Function
40. Self-controlled methods for postmarketing drug safety surveillance in large-scale longitudinal data
41. Selected Legal Applications for Bayesian Methods
42. Segregation in Social Networks Based on Acquaintanceship and Trust
43. Scoring Model Predictions using Cross-Validation
44. Scalable Community Detection in Massive Networks using Aggregated Relational Data
45. Sampling for Bayesian computation with large datasets
46. Rich state, poor state, red state, blue state: What's the matter with Connecticut?
47. Rejoinder: Struggles with survey weighting and regression modeling
48. R codes for "Sparse Vector Autoregressive Modeling" by Davis, Zang and Zheng (2016)
49. Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data
50. R2WinBUGS: A Package for Running WinBUGS from R
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