111 results on '"Fienberg, Stephen E."'
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2. A Comparison of Blocking Methods for Record Linkage.
3. Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases.
4. Anonymous Authentication of Visitors for Mobile Crowd Sensing at Amusement Parks.
5. Differential Privacy and the Risk-Utility Tradeoff for Multi-dimensional Contingency Tables.
6. Privacy-Preserving Record Linkage.
7. Valid Statistical Analysis for Logistic Regression with Multiple Sources.
8. Fixed and Random Zeros.
9. Causal Analysis Involving Logit and Loglinear Models.
10. Fixed Margins and Logit Models.
11. Four- and Higher-Dimensional Contingency Tables.
12. Three-Dimensional Tables.
13. Selection of a Model.
14. Introduction.
15. Asymptotic Methods.
16. Sampling Models For Discrete Data.
17. Pseudo-Bayes Estimates Of Cell Probabilities.
18. Measures Of Association And Agreement.
19. Other Methods For Estimation And Testing In Cross-Classifications.
20. Model Selection And Assessing Closeness Of Fit: Practical Aspects.
21. Estimating The Size Of A Closed Population.
22. Models For Measuring Change.
23. Analysis Of Square Tables: Symmetry And Marginal Homogeneity.
24. Maximum Likelihood Estimation For Incomplete Tables.
25. Formal Goodness Of Fit: Summary Statistics And Model Selection.
26. Maximum Likelihood Estimates For Complete Tables.
27. Structural Models For Counted Data.
28. Introduction.
29. Computer Software for Variance Estimation.
30. Transformations.
31. The Effect of Imputation on Variance Estimation.
32. The Effect of Measurement Errors on Variance Estimation.
33. Asymptotic Theory of Variance Estimators.
34. Summary of Methods for Complex Surveys.
35. Variance Estimation for Systematic Sampling.
36. Generalized Variance Functions.
37. Taylor Series Methods.
38. The Bootstrap Method.
39. The Jackknife Method.
40. Variance Estimation Based on Balanced Half-Samples.
41. The Method of Random Groups.
42. Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis.
43. Conclusion.
44. Introduction to Multivariate Regression Models.
45. Generalized Linear Models.
46. Introduction to Hierarchical Models.
47. Evaluating Markov Chain Monte Carlo Algorithms and Model Fit.
48. The Linear Regression Model.
49. Modern Model Estimation Part 1: Gibbs Sampling.
50. Modern Model Estimation Part 2: Metroplis-Hastings Sampling.
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