Search Results
2. Two Approaches to Non-Zero-Sum Stochastic Differential Games of Control and Stopping
3. Toward a scalable Bayesian workflow
4. Topics in Computational Bayesian Statistics With Applications to Hierarchical Models in Astronomy and Sociology
5. Time Series Modeling with Shape Constraints
6. Time evolution of the Kardar-Parisi-Zhang equation
7. Stochastic Differential Equations and Strict Local Martingales
8. Statistical Perspectives on Modern Network Embedding Methods
9. Statistical Methods for Structured Data: Analyses of Discrete Time Series and Networks
10. Statistical methods for indirectly observed network data
11. Statistical Machine Learning Methods for the Large Scale Analysis of Neural Data
12. Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis
13. Statistical Learning for Process Data
14. Statistical inference in two non-standard regression problems
15. Statistical Inference for Diagnostic Classification Models
16. Statistical Inference and Experimental Design for Q-matrix Based Cognitive Diagnosis Models
17. Statistical approach to tagging stellar birth groups in the Milky Way
18. Statistical Analysis of Complex Data in Survival and Event History Analysis
19. Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts
20. Some Statistical Models for Prediction
21. Some Nonparametric Methods for Clinical Trials and High Dimensional Data
22. Some Models for Time Series of Counts
23. Signal-to-noise ratio aware minimaxity and its asymptotic expansion
24. Semiparametric inference with shape constraints
25. Semiparametric Inference of Censored Data with Time-dependent Covariates
26. Semiparametric Estimation of a Gaptime-Associated Hazard Function
27. Self-controlled methods for postmarketing drug safety surveillance in large-scale longitudinal data
28. Selected Legal Applications for Bayesian Methods
29. Scalable Community Detection in Massive Networks using Aggregated Relational Data
30. Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data
31. Process Data Applications in Educational Assessment
32. Point Process Models for Heterogeneous Event Time Data
33. Phase retrieval in the high-dimensional regime
34. Partition-based Model Representation Learning
35. Overlapping Communities on Large-Scale Networks: Benchmark Generation and Learning via Adaptive Stochastic Optimization
36. Optimal Trading Strategies Under Arbitrage
37. Optimal Inference with a Multidimensional Multiscale Statistic
38. On the Multiway Principal Component Analysis
39. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods
40. On Some Problems In Transfer Learning
41. On Recovering the Best Rank-? Approximation from Few Entries
42. On optimal arbitrage under constraints
43. On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference
44. On Identifying Rare Variants for Complex Human Traits
45. New perspectives in cross-validation
46. Multiple Causal Inference with Bayesian Factor Models
47. Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling
48. Modeling Strategies for Large Dimensional Vector Autoregressions
49. Modeling Random Events
50. Mixed Methods for Mixed Models
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