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2. [Bayesian Analysis in Expert Systems]: Comment: What's Next?
3. A Characterization of Markov Equivalence Classes for Acyclic Digraphs
4. Bayesian Model Averaging: a Tutorial (with Comments by M. Clyde, David Draper and E. I. George, and a Rejoinder by the Authors)
5. Multiplicative Multiresolution Analysis for Lie-group Valued Data Indexed by a Euclidean Parameter
6. Separation and Completeness Properties for Amp Chain Graph Markov Models
7. Backward Haplotype Transmission Association (BHTA) Algorithm-A Fast Multiple-Marker Screening Method
8. Book Reviews: Principles of Data Mining. By David Hand, Heikki Mannila, and Padhraic Smyth.
9. Correction: Separation and completeness properties for AMP chain graph Markov models
10. A demonstration and findings of a statistical approach through reanalysis of inflammatory bowel disease data
11. [A Report on the Future of Statistics]: Comment
12. Fully Bayesian computing
13. [Least Angle Regression]: Discussion
14. What does "Do campaigns matter?" mean?
15. When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
16. Analysis of Variance of Cross-Validation Estimators of the Generalization Error
17. Multiscale Representations for Manifold-Valued Data
18. R2WinBUGS: A Package for Running WinBUGS from R
19. Sampling for Bayesian computation with large datasets
20. A note on QTL detecting for censored traits
21. A One-Pass Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets
22. Backward Genotype-Trait Association (BGTA)-Based Dissection of Complex Traits in Case-Control Designs
23. BAMarray™: Java software for Bayesian analysis of variance for microarray data
24. Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations
25. Fast l1 Minimization for Genomewide Analysis of mRNA Lengths
26. Fitting Multilevel Models When Predictors and Group Effects Correlate
27. How Many People Do You Know in Prison? Using Overdispersion in Count Data to Estimate Social Structure in Networks
28. Location Estimation in Wireless Networks: A Bayesian Approach
29. Probing genetic overlap among complex human phenotypes
30. Tree-Based Integration of One-versus-Some (OVS) Classifiers for Multiclass Classification
31. About SparseLab
32. A Flexible Bayesian Generalized Linear Model for Dichotomous Response Data with an Application to Text Categorization
33. Bayes: Radical, liberal, or conservative?
34. Comment: Bayesian Checking of the Second Levels of Hierarchical Models
35. Constructing gene association networks for rheumatoid arthritis using the backward genotype-trait association (BGTA) algorithm
36. Going beyond the book: Toward critical reading in statistics teaching
37. Joint study of genetic regulators for expression traits related to breast cancer
38. Pattern-based mining strategy to detect multi-locus association and gene × environment interaction
39. Rejoinder: Struggles with survey weighting and regression modeling
40. Rich state, poor state, red state, blue state: What's the matter with Connecticut?
41. SparseLab Architecture
42. Struggles with survey weighting and regression modeling
43. Transcription activity hot spot, is it real or an artifact?
44. Virtual Northern Analysis of the Human Genome
45. Why we (usually) don't have to worry about multiple comparisons
46. Algorithms for Sparse Linear Classifiers in the Massive Data Setting
47. Bayesian hierarchical classes analysis
48. Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
49. Discovering interactions among BRCA1 and other candidate genes associated with sporadic breast cancer
50. Genetic-linkage mapping of complex hereditary disorders to a whole-genome molecular-interaction network
51. Identification of gene interactions associated with disease from gene expression data using synergy networks
52. One vote, many Mexicos: Income and vote choice in the 1994, 2000, and 2006 presidential elections
53. Partisans without constraint: Political polarization and trends in American public opinion
54. Predicting and dissecting the seats-votes curve in the 2006 U.S. House election
55. Priors on the Variance in Sparse Bayesian Learning; the demi-Bayesian Lasso
56. Protecting minorities in binary elections: A test of storable votes using field data
57. Selecting informative genes for discriminant analysis using multigene expression profiles.
58. The playing field shifts: Predicting the seats-votes curve in the 2008 U.S. House election
59. Thoughts on new statistical procedures for age-period-cohort analyses
60. What will we know on Tuesday at 7pm?
61. A Global Empirical Evaluation of New Communication Technology Use and Democratic Tendency
62. Bayes, Jeffreys, Prior Distributions and the Philosophy of Statistics
63. Culture wars, voting, and polarization: divisions and unities in modern American politics
64. Discovering influential variables: A method of partitions
65. Discussion of the Article "Website Morphing"
66. Enabling Reproducible Research: Open Licensing for Scientific Innovation
67. Genome-wide gene-based analysis of rheumatoid arthritis-associated interaction with PTPN22 and HLA-DRB1
68. Improving the Presentation of Quantitative Results in Political Science
69. Posterior predictive checking and generalized graphical models
70. Reproducible Research in Computational Harmonic Analysis
71. Rheumatoid arthritis-associated gene-gene interaction network for rheumatoid arthritis candidate genes
72. Segregation in social networks based on acquaintanceship and trust
73. Social and political polarization, and some other topics in network analysis
74. Some computational and modeling issues for hierarchical models
75. The Legal Framework for Reproducible Scientific Research: Licensing and Copyright
76. Why we (usually) don't have to worry about multiple comparisons
77. Why we (usually) don't have to worry about multiple comparisons
78. Bayesian Combination of State Polls and Election Forecasts
79. Cyber Science and Engineering: A Report of the National Science Foundation Advisory Committee for Cyberinfrastructure Task Force on Grand Challenges
80. Data Sharing in Social Science Repositories: Facilitating Reproducible Computational Research
81. How many people do you know?: Efficiently estimating personal network size
82. La philosophie et l'expérience de la statistique bayésienne
83. La polarisation politique et comment étudier ça avec la statistique
84. On Bootstrap Tests of Symmetry About an Unknown Median
85. Open science: policy implications for the evolving phenomenon of user-led scientific innovation
86. Protecting Minorities in Large Binary Elections: A Test of Storable Votes Using Field Data
87. Remarks presented before the National Academies Committee on the Impact of Copyright Policy on Innovation in the Digital Era
88. Reproducible Research: Addressing the Need for Data and Code Sharing in Computational Science
89. The Scientific Method in Practice: Reproducibility in the Computational Sciences
90. A Hierarchical Model for Association Rule Mining of Sequential Events: An Approach to Automated Medical Symptom Prediction
91. Association screening for genes with multiple potentially rare variants: an inverse-probability weighted clustering approach
92. Basics of Intellectual Property for Computational Scientists
93. Bayesian Model Selection in terms of Kullback-Leibler discrepancy
94. Bayesian Statistical Pragmatism
95. Comments on "Measuring Racial Profiling"
96. Contagion and Systemic Risk in Financial Networks
97. Data Management and Sharing Policies in the NSF and the NIH
98. Establishing Scientific Facts
99. Facilitating Scientific Discovery in the Digital Age
100. Framing Science Policy: Reproducible Research, Not Open Data
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