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1. The Representation of Social Processes by Markov Models

Singer, Burton; Spilerman, Seymour
1976
Articles
SociologyStatistics

2. Mathematical Representations of Development Theories

Singer, Burton; Spilerman, Seymour
1979
Chapters (Layout Features)
Developmental psychologyStatistics

3. Learning to Believe in Sunspots

Woodford, Michael
1990
Articles
EconomicsStatistics

4. A Note on Equivalence Classes of Directed Acyclic Independence Graphs

Madigan, David B.
1993
Articles
MathematicsStatistics

5. [Bayesian Analysis in Expert Systems]: Comment: What's Next?

Madigan, David B.
1993
Articles
MathematicsStatistics

6. A Characterization of Markov Equivalence Classes for Acyclic Digraphs

Andersson, Steen A.; Madigan, David B.; Perlman, Michael D.
1997
Articles
MathematicsStatistics

7. Bayesian Model Averaging: a Tutorial (with Comments by M. Clyde, David Draper and E. I. George, and a Rejoinder by the Authors)

Hoeting, Jennifer A.; Madigan, David B.; Raftery, Adrian E.; Volinsky, Chris T.; Clyde, M.; Draper, David; George, E. I.
1999
Articles
Statistics

8. Prélèvements et transferts sociaux: une analyse descriptive des incitations financières au travail

Laroque, Guy; Salanie, Bernard
1999
Articles
EconomicsStatisticsLabor economicsSocial sciences--Research

9. Estimating Preferences under Risk: The Case of Racetrack Bettors

Jullien, Bruno; Salanie, Bernard
2000
Articles
EconomicsStatistics

10. Multiplicative Multiresolution Analysis for Lie-group Valued Data Indexed by a Euclidean Parameter

Stodden, Victoria C.
2001
Presentations (Communicative Events)
Computer scienceStatistics

11. Separation and Completeness Properties for Amp Chain Graph Markov Models

Levitz, Michael; Perlman, Michael D.; Madigan, David B.
2001
Articles
MathematicsStatistics

12. Book Reviews: Principles of Data Mining. By David Hand, Heikki Mannila, and Padhraic Smyth.

Madigan, David B.
2002
Reviews
Statistics

13. Correction: Separation and completeness properties for AMP chain graph Markov models

Madigan, David B.; Levitz, Michael; Perlman, Michael D.
2003
Articles
MathematicsStatistics

14. Fully Bayesian computing

Kerman, Jouni; Gelman, Andrew E.
2004
Articles
Computer scienceStatisticsBayesian statistical decision theoryObject-oriented programming (Computer science)

15. [Least Angle Regression]: Discussion

Madigan, David B.; Ridgeway, Greg
2004
Articles
MathematicsStatistics

16. Nine Justices Ten Years Statistical Retrospective

Jackson, Robert J.; Vjgnarajah, Thiruvendran
2004
Articles
Law reports, digests, etc.LawStatisticsUnited States. Supreme Court

17. Reducing Bias in Treatment Effect Estimation in Observational Studies Suffering from Missing Data

Hill, Jennifer
2004
Reports
Social sciences--ResearchStatistics

18. What does "Do campaigns matter?" mean?

Bafumi, Joseph; Gelman, Andrew E.; Park, David K.
2004
Articles
Political scienceStatisticsPresidents--Election

19. When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?

Donoho, David L.; Stodden, Victoria C.
2004
Articles
Statistics

20. Analysis of Variance of Cross-Validation Estimators of the Generalization Error

Markatou, Marianthi; Tian, Hong; Biswas, Shameek; Hripcsak, George M.
2005
Articles
StatisticsArtificial intelligence

21. Assessing the predictability of extreme rainfall seasons over southern Africa

Landman, Willem A.; Botes, Stephanie; Goddard, Lisa M.; Shongwe, Mxolisi
2005
Articles
Atmospheric circulationStatisticsPrecipitation forecastingAtmosphere

22. Multiscale Representations for Manifold-Valued Data

Rahman, Inam Ur; Drori, Iddo; Stodden, Victoria C.; Donoho, David L.; Schroeder, Peter
2005
Articles
Statistics

23. PAGE: Parametric Analysis of Gene Set Enrichment

Kim, Seon-Young; Volsky, David Julian
2005
Articles
Bioinformatics--MethodologyStatisticsDNA microarrays--Data processingBioinformaticsGeneticsBiometry

24. Predicting southern African summer rainfall using a combination of MOS and perfect prognosis

Landman, Willem A.; Goddard, Lisa M.
2005
Articles
Atmospheric circulationStatisticsPrecipitation forecastingAtmosphere

25. R2WinBUGS: A Package for Running WinBUGS from R

Sturtz, Sibylle; Ligges, Uwe; Gelman, Andrew E.
2005
Articles
Statistics

26. Sampling for Bayesian computation with large datasets

Huang, Zaiying; Gelman, Andrew E.
2005
Articles
StatisticsBayesian statistical decision theoryCluster analysisMultilevel models (Statistics)

27. Statistical–Dynamical Seasonal Forecasts of Central-Southwest Asian Winter Precipitation

Tippett, Michael K.; Goddard, Lisa M.; Barnston, Anthony G.
2005
Articles
Precipitation forecastingStatisticsClimatic changes--ForecastingAtmosphere

28. A One-Pass Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets

Balakrishnan, Suhrid; Madigan, David B.
2006
Articles
MathematicsStatistics

29. Backward Genotype-Trait Association (BGTA)-Based Dissection of Complex Traits in Case-Control Designs

Zheng, Tian; Wang, Hui; Lo, Shaw-Hwa
2006
Articles
StatisticsGeneticsBiometry

30. BAMarray™: Java software for Bayesian analysis of variance for microarray data

Ishwaran, Hemant; Rao, J. Sunil; Kogalur, Udaya B.
2006
Articles
DNA microarrays--Data processingJava (Computer program language)BioinformaticsBayesian statistical decision theoryStatisticsInformation technology

31. Breakdown Point of Model Selection When the Number of Variables Exceeds the Number of Observations

Donoho, David L.; Stodden, Victoria C.
2006
Articles
Statistics

32. Editorial: Special Section on Statistical and Perceptual Audio Processing

Ellis, Daniel P. W.; Raj, Bhiksha; Brown, Judith C.; Slaney, Malcolm; Smaragdis, Paris
2006
Articles
StatisticsPsychophysiology

33. Fast l1 Minimization for Genomewide Analysis of mRNA Lengths

Drori, Iddo; Stodden, Victoria C.; Hurowitz, Evan H.
2006
Articles
GeneticsStatistics

34. Fitting Multilevel Models When Predictors and Group Effects Correlate

Bafumi, Joseph; Gelman, Andrew E.
2006
Articles
Statistics

35. How Many People Do You Know in Prison? Using Overdispersion in Count Data to Estimate Social Structure in Networks

Zheng, Tian; Salganik, Matthew J.; Gelman, Andrew E.
2006
Articles
StatisticsSocial sciences--Research

36. Location Estimation in Wireless Networks: A Bayesian Approach

Madigan, David B.; Ju, Wen-Hua; Krishnan, P.; Krishnakumar, A. S.; Zorych, Ivan
2006
Articles
MathematicsStatistics

37. Tree-Based Integration of One-versus-Some (OVS) Classifiers for Multiclass Classification

Ding, Yuejing; Zheng, Tian
2006
Reports
Statistics

38. Using individual growth model to analyze the change in quality of life from adolescence to adulthood

Chen, Henian; Cohen, Patricia R.
2006
Articles
Human growth--Mathematical modelsQuality of life--Statistical methodsYoung adults--Health and hygieneMedical sciencesAgingStatistics

39. A Flexible Bayesian Generalized Linear Model for Dichotomous Response Data with an Application to Text Categorization

Eyheramendy, Susana; Madigan, David B.
2007
Chapters (Layout Features)
MathematicsStatistics

40. Bayes: Radical, liberal, or conservative?

Gelman, Andrew E.
2007
Articles
Political scienceMathematical statisticsStatistics

41. Comment: Bayesian Checking of the Second Levels of Hierarchical Models

Gelman, Andrew E.
2007
Articles
Political scienceMathematical statisticsStatistics

42. Conditional Exceedance Probabilities

Mason, Simon J.; Galpin, Jacqueline S.; Goddard, Lisa M.; Graham, Nicholas E.; Rajaratnam, Balakanapathy
2007
Articles
Climatic changes--Mathematical modelsStatisticsClimatic changes--ForecastingAtmosphere

43. Going beyond the book: Toward critical reading in statistics teaching

Gelman, Andrew E.
2007
Reports
Political scienceStatisticsLeft- and right-handednessMenstruationTraffic accidents

44. Rejoinder: Struggles with survey weighting and regression modeling

Gelman, Andrew E.
2007
Articles
Political scienceMathematical statisticsStatistics

45. Rich state, poor state, red state, blue state: What's the matter with Connecticut?

Gelman, Andrew E.; Shor, Boris; Bafumi, Joseph; Park, David K.
2007
Articles
Political scienceMathematical statisticsStatistics

46. Struggles with survey weighting and regression modeling

Gelman, Andrew E.
2007
Articles
Political scienceMathematical statisticsStatistics

47. Why we (usually) don't have to worry about multiple comparisons

Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao
2007
Presentations (Communicative Events)
Statistics

48. Algorithms for Sparse Linear Classifiers in the Massive Data Setting

Balakrishnan, Suhrid; Madigan, David B.; Bartlett, Peter
2008
Articles
StatisticsArtificial intelligence

49. Analyzing Postdisaster Surveillance Data: The Effect of the Statistical Method

DiMaggio, Charles J.; Galea, Sandro; Abramson, David M.
2008
Articles
Emergency managementStatistics

50. Bayesian hierarchical classes analysis

Leenen, Iwin; Mechelen, Iven van; Gelman, Andrew E.; Knop, Stijn de
2008
Articles
Statistics

51. Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies

Zheng, Tian; Lo, Shaw-Hwa
2008
Articles
Statistics

52. One vote, many Mexicos: Income and vote choice in the 1994, 2000, and 2006 presidential elections

Cortina, Jeronimo; Gelman, Andrew E.
2008
Articles
Political scienceStatistics

53. Partisans without constraint: Political polarization and trends in American public opinion

Baldassarri, Delia; Gelman, Andrew E.
2008
Articles
Political scienceMathematical statisticsStatistics

54. Predicting and dissecting the seats-votes curve in the 2006 U.S. House election

Kastellec, Jonathan P.; Gelman, Andrew E.; Chandler, Jamie P.
2008
Articles
Political scienceMathematical statisticsStatistics

55. Priors on the Variance in Sparse Bayesian Learning; the demi-Bayesian Lasso

Madigan, David
2008
Reports
Statistics

56. Protecting minorities in binary elections: A test of storable votes using field data

Casella, Alessandra M.; Ehrenberg, Shuky; Gelman, Andrew E.; Shen, Jie
2008
Reports
Political scienceMathematical statisticsStatistics

57. The playing field shifts: Predicting the seats-votes curve in the 2008 U.S. House election

Kastellec, Jonathan P.; Gelman, Andrew E.; Chandler, Jamie P.
2008
Articles
Political scienceMathematical statisticsStatistics

58. Thoughts on new statistical procedures for age-period-cohort analyses

Gelman, Andrew E.
2008
Articles
Statistics

59. What will we know on Tuesday at 7pm?

Gelman, Andrew E.; Silver, Nate
2008
Articles
Political scienceStatistics

60. Bayes, Jeffreys, Prior Distributions and the Philosophy of Statistics

Gelman, Andrew E.
2009
Articles
Political scienceMathematical statisticsStatistics

61. Culture wars, voting, and polarization: divisions and unities in modern American politics

Gelman, Andrew E.
2009
Presentations (Communicative Events)
Political scienceStatistics

62. Discovering influential variables: A method of partitions

Chernoff, Herman; Lo, Shaw-Hwa; Zheng, Tian
2009
Articles
Computer scienceStatistics

63. Discussion of the Article "Website Morphing"

Gelman, Andrew E.
2009
Articles
Political scienceMathematical statisticsStatistics

64. Improving the Presentation of Quantitative Results in Political Science

Kastellec, John; Gelman, Andrew E.
2009
Presentations (Communicative Events)
Political scienceStatistics

65. Posterior predictive checking and generalized graphical models

Gelman, Andrew E.
2009
Presentations (Communicative Events)
Statistics

66. Preaching to the Unconverted

Uriarte, Maria; Yackulic, Charles B.
2009
Articles
EcologyStatistics

67. Social and political polarization, and some other topics in network analysis

Gelman, Andrew E.
2009
Presentations (Communicative Events)
Statistics

68. Some computational and modeling issues for hierarchical models

Gelman, Andrew E.
2009
Presentations (Communicative Events)
Statistics

69. Why we (usually) don't have to worry about multiple comparison

Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao
2009
Reports
Statistics

70. Why we (usually) don't have to worry about multiple comparisons

Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao
2009
Articles
StatisticsBayesian statistical decision theoryMultilevel models (Statistics)Statistical hypothesis testing

71. Why we (usually) don't have to worry about multiple comparisons

Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao
2009
Presentations (Communicative Events)
Statistics

72. Bayesian Combination of State Polls and Election Forecasts

Lock, Kari; Gelman, Andrew E.
2010
Articles
Political scienceStatisticsBayesian statistical decision theory

73. Comparative Validity of 3 Diabetes Mellitus Risk Prediction Scoring Models in a Multiethnic US Cohort: The Multi-Ethnic Study of Atherosclerosis

Mann, Devin M.; Bertoni, Alain G.; Shimbo, Daichi; Carnethon, Mercedes R.; Chen, Haiying; Jenny, Nancy Swords; Muntner, Paul
2010
Articles
Diabetes--EpidemiologyCohort analysisDiabetes--Risk factorsEpidemiologyStatistics

74. How many people do you know?: Efficiently estimating personal network size

Zheng, Tian; Salganik, Matthew J.; McCormick, Tyler H.
2010
Articles
StatisticsSocial sciences--Research

75. La philosophie et l'expérience de la statistique bayésienne

Gelman, Andrew E.; Shalizi, Cosma
2010
Presentations (Communicative Events)
Statistics

76. La polarisation politique et comment étudier ça avec la statistique

Gelman, Andrew E.
2010
Presentations (Communicative Events)
Statistics

77. On Bootstrap Tests of Symmetry About an Unknown Median

Zheng, Tian; Gastwirth, Joseph L.
2010
Articles
Statistics

78. Polymorphisms in the Mitochondrial DNA Control Region and Frailty in Older Adults

Moore, Anne Z.; Biggs, Mary L.; O'Connor, Ashley; Matteini, Amy; McGuire, Sarah; Beamer, Brock A.; Fallin, M. Danielle; Waltson, Jeremy; Fried, Linda P.; Chakravarti, Aravinda; Arking, Dan E.
2010
Articles
GeneticsMedicineStatistics

79. Signs of the 2009 Influenza Pandemic in the New York-Presbyterian Hospital Electronic Health Records

Khiabanian, Hossein; Holmes, Antony B.; Kelly, Brendan J.; Gururaj, Mrinalini; Hripcsak, George M.; Rabadan, Raul
2010
Articles
MedicineStatisticsPublic health

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

McCormick, Tyler H.; Rudin, Cynthia; Madigan, David B.
2011
Articles
MathematicsStatisticsMedicine

81. Application of ordered latent class regression model in educational assessment

Cha, Jisung
2011
Theses
Educational tests and measurementsStatisticsMathematics--Study and teaching

82. Bayesian Model Selection in terms of Kullback-Leibler discrepancy

Zhou, Shouhao
2011
Theses
Statistics

83. Bayesian Statistical Pragmatism

Gelman, Andrew E.
2011
Articles
Statistics

84. Contagion and Systemic Risk in Financial Networks

Moussa, Amal
2011
Theses
FinanceStatistics

85. Dynamic Targeted Pricing in B2B Settings

Zhang, Zaozao
2011
Theses
StatisticsEconomics

86. ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data

Friedman, Brad; Maniatis, Tom
2011
Articles
StatisticsBioinformatics

87. Fractal-like Distributions over the Rational Numbers in High-throughput Biological and Clinical Data

Trifonov, Vladimir; Pasqualucci, Laura; Dalla-Favera, Riccardo; Rabadan, Raul
2011
Articles
Computational biologyBioinformaticsStatistics

88. Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box

Su, Yu-Sung; Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao
2011
Articles
Statistics

89. New insights into old methods for identifying causal rare variants

Hu, Inchi; Zheng, Tian; Huang, Chien-Hsun; Lo, Shaw-Hwa; Wang, Haitian
2011
Articles
Human genetics--VariationBiometry--Statistical methodsStatistics--MethodologyBiometryStatistics

90. On testing the change-point in the longitudinal bent line quantile regression model

Sha, Nanshi
2011
Theses
Statistics

91. Rater Drift in Constructed Response Scoring via Latent Class Signal Detection Theory and Item Response Theory

Park, Yoon Soo
2011
Theses
PsychometricsEducational tests and measurementsStatistics

92. Reply

Mason, Simon J.; Tippett, Michael K.; Weigel, Andreas P.; Goddard, Lisa M.; Rajaratnam, Balakanapathy
2011
Articles
Climatic changes--Mathematical modelsStatisticsClimatic changes--ForecastingAtmosphere

93. Segregation in Social Networks Based on Acquaintanceship and Trust

DiPrete, Thomas A.; Gelman, Andrew E.; McCormick, Tyler; Teitler, Julien O.; Zheng, Tian
2011
Articles
Statistics

94. Self-controlled methods for postmarketing drug safety surveillance in large-scale longitudinal data

Simpson, Shawn E.
2011
Theses
Statistics

95. Some Nonparametric Methods for Clinical Trials and High Dimensional Data

Wu, Xiaoru
2011
Theses
Statistics

96. State-Space Models and Latent Processes in the Statistical Analysis of Neural Data

Vidne, Michael
2011
Theses
MathematicsStatisticsNeurosciences

97. Statistical methods for indirectly observed network data

McCormick, Tyler H.
2011
Theses
Statistics

98. The WTO Dispute Settlement System: 1995-2010 Some Descriptive Statistics

Mavroidis, Petros C.; Horn, Henrik; Johannesson, Louise
2011
Articles
Dispute resolution (Law)StatisticsDeveloped countriesDeveloping countriesLawInternational lawWorld Trade OrganizationEuropean Union

99. Bayesian Hierarchical Rule Modeling for Predicting Medical Conditions

McCormick, Tyler H.; Rudin, Cynthia; Madigan, David B.
2012
Articles
MathematicsStatisticsMedicine

100. Biodiversity and Ecosystem Multi-Functionality: Observed Relationships in Smallholder Fallows in Western Kenya

Sircely, Jason; Naeem, Shahid
2012
Articles
EcologyStatistics