## Search Results

### 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 *l*1 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. On Bootstrap Tests of Symmetry About an Unknown Median

### 83. Open science: policy implications for the evolving phenomenon of user-led scientific innovation

### 84. Protecting Minorities in Large Binary Elections: A Test of Storable Votes Using Field Data

### 85. Remarks presented before the National Academies Committee on the Impact of Copyright Policy on Innovation in the Digital Era

### 86. Reproducible Research: Addressing the Need for Data and Code Sharing in Computational Science

### 87. The Scientific Method in Practice: Reproducibility in the Computational Sciences

### 88. A Hierarchical Model for Association Rule Mining of Sequential Events: An Approach to Automated Medical Symptom Prediction

### 89. Association screening for genes with multiple potentially rare variants: an inverse-probability weighted clustering approach

### 90. Basics of Intellectual Property for Computational Scientists

### 91. Bayesian Model Selection in terms of Kullback-Leibler discrepancy

### 92. Bayesian Statistical Pragmatism

### 93. Comments on "Measuring Racial Profiling"

### 94. Contagion and Systemic Risk in Financial Networks

### 95. Data Management and Sharing Policies in the NSF and the NIH

### 96. Establishing Scientific Facts

### 97. Facilitating Scientific Discovery in the Digital Age

### 98. Framing Science Policy: Reproducible Research, Not Open Data

### 99. Funding Agency Policy and the Credibility Crisis in Computational Science

### 100. High dimensional information processing

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