1. 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
2. Why we (usually) don't have to worry about multiple comparisons Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao 2009 Presentations (Communicative Events) Statistics
3. Why we (usually) don't have to worry about multiple comparisons Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao 2007 Presentations (Communicative Events) Statistics
4. When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? Donoho, David L.; Stodden, Victoria C. 2004 Articles Statistics
5. What will we know on Tuesday at 7pm? Gelman, Andrew E.; Silver, Nate 2008 Articles Political scienceStatistics
6. What does "Do campaigns matter?" mean? Bafumi, Joseph; Gelman, Andrew E.; Park, David K. 2004 Articles Political scienceStatisticsPresidents--Election
7. Unbiased Penetrance Estimates with Unknown Ascertainment Strategies Gore, Kristen 2014 Theses Statistics
8. Tree-Based Integration of One-versus-Some (OVS) Classifiers for Multiclass Classification Ding, Yuejing; Zheng, Tian 2006 Reports Statistics
9. Toward a scalable Bayesian workflow Yao, Yuling 2021 Theses StatisticsBayesian statistical decision theoryBayesian statistical decision theory--Mathematical models
10. Topics in Computational Bayesian Statistics With Applications to Hierarchical Models in Astronomy and Sociology Sahai, Swupnil 2018 Theses StatisticsAstronomySociologyBayesian statistical decision theoryMultilevel models (Statistics)
11. Time Series Modeling with Shape Constraints Zhang, Jing 2017 Theses StatisticsTime-series analysis--Mathematical models
12. Thoughts on new statistical procedures for age-period-cohort analyses Gelman, Andrew E. 2008 Articles Statistics
13. The Prior Can Often Only Be Understood in the Context of the Likelihood Gelman, Andrew E.; Simpson, Daniel; Betancourt, Michael Joseph 2017 Articles Bayesian statistical decision theoryDistribution (Probability theory)Statistics
14. 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
15. Surveying Hard-to-Reach Groups Through Sampled Respondents in a Social Network McCormick, Tyler H.; Zheng, Tian; He, Ran; Kolaczyk, Eric 2012 Articles StatisticsSocial sciences--Research
16. Struggles with survey weighting and regression modeling Gelman, Andrew E. 2007 Articles Political scienceMathematical statisticsStatistics
17. Stochastic Differential Equations and Strict Local Martingales Qiu, Lisha 2018 Theses StatisticsMathematicsStochastic differential equationsMartingales (Mathematics)Convergence
18. Statistical Perspectives on Modern Network Embedding Methods Davison, Andrew 2022 Theses StatisticsMachine learning--Statistical methodsMachine learning--Graphic methodsComputer networks
19. Statistical methods for indirectly observed network data McCormick, Tyler H. 2011 Theses Statistics
20. Statistical Machine Learning Methods for the Large Scale Analysis of Neural Data Mena, Gonzalo Esteban 2018 Theses StatisticsMachine learningNeural circuitry--Data processingNeurotechnology (Bioengineering)
21. Statistical Machine Learning Methods for High-dimensional Neural Population Data Analysis Gao, Yuanjun 2017 Theses StatisticsNeurosciencesDimensional analysis
22. Statistical Learning for Process Data Wang, Zhi 2021 Theses StatisticsComputer-assisted instructionProblem solving
23. Statistical inference in two non-standard regression problems Seijo, Emilio Francisco 2012 Theses StatisticsMathematics
24. Statistical Inference for Diagnostic Classification Models Xu, Gongjun 2013 Theses StatisticsEducational tests and measurements
25. Statistical Inference and Experimental Design for Q-matrix Based Cognitive Diagnosis Models Zhang, Stephanie 2014 Theses StatisticsEducational tests and measurementsPsychometrics
26. Statistical approach to tagging stellar birth groups in the Milky Way Ratcliffe, Bridget Lynn 2022 Theses AstronomyStatisticsStars--FormationStars--Age--MeasurementGalaxies--Formation
27. Statistical Analysis of Complex Data in Survival and Event History Analysis Ling, Hok Kan 2020 Theses StatisticsSurvivalEvent history analysis
28. Spectral Filtering for Spatio-temporal Dynamics and Multivariate Forecasts Meng, Lu 2016 Theses Mathematical statistics--Data processingDynamicsDimension reduction (Statistics)Statistics
29. SPAr package for Fan and Lo (2013) "A robust model-free approach for rare variants association studies incorporating gene-gene and gene-environmental interactions." Fan, Ruixue; Lo, Shaw-Hwa 2013 Software GeneticsStatistics
31. Some Statistical Models for Prediction Auerbach, Jonathan Lyle 2020 Theses StatisticsPublic policy (Law)Skyscrapers--Design and constructionPresidents--ElectionClimatic changes--Statistical methodsCriminal statisticsTraffic fatalities
32. Some Nonparametric Methods for Clinical Trials and High Dimensional Data Wu, Xiaoru 2011 Theses Statistics
34. Some computational and modeling issues for hierarchical models Gelman, Andrew E. 2009 Presentations (Communicative Events) Statistics
35. Social and political polarization, and some other topics in network analysis Gelman, Andrew E. 2009 Presentations (Communicative Events) Statistics
36. Separation and Completeness Properties for Amp Chain Graph Markov Models Levitz, Michael; Perlman, Michael D.; Madigan, David B. 2001 Articles MathematicsStatistics
37. Semiparametric inference with shape constraints Patra, Rohit Kumar 2016 Theses Regression analysisMathematical statisticsProbabilitiesStatisticsStatistics
38. Semiparametric Inference of Censored Data with Time-dependent Covariates Chu, Chi Wing 2021 Theses StatisticsAnalysis of covarianceAIDS (Disease)Clinical trials
39. Semiparametric Estimation of a Gaptime-Associated Hazard Function Teravainen, Timothy 2014 Theses Proportional hazards modelsSurvival analysis (Biometry)Bayesian statistical decision theoryStatisticsElectrical engineering
40. Self-controlled methods for postmarketing drug safety surveillance in large-scale longitudinal data Simpson, Shawn E. 2011 Theses Statistics
41. Selected Legal Applications for Bayesian Methods Cheng, Edward K. 2018 Theses StatisticsLawBayesian statistical decision theoryLaw--Statistical methods
42. 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
43. Scoring Model Predictions using Cross-Validation Smith, Anna L.; Zheng, Tian; Gelman, Andrew 2018 Reports StatisticsReproducible researchMultivariate analysisAlgorithmsElectronic data processing
44. Scalable Community Detection in Massive Networks using Aggregated Relational Data Jones, Timothy 2019 Theses StatisticsSystem analysisRelational databases
45. Sampling for Bayesian computation with large datasets Huang, Zaiying; Gelman, Andrew E. 2005 Articles StatisticsBayesian statistical decision theoryCluster analysisMultilevel models (Statistics)
46. 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
47. Rejoinder: Struggles with survey weighting and regression modeling Gelman, Andrew E. 2007 Articles Political scienceMathematical statisticsStatistics
48. R codes for "Sparse Vector Autoregressive Modeling" by Davis, Zang and Zheng (2016) Davis, Richard A.; Zang, Pengfei; Zheng, Tian 2016 Software StatisticsMultivariate analysisSparse matrices
49. Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data Bloem-Reddy, Benjamin Michael 2017 Theses Computer networksMarkov processesInformation networks--Statistical methodsMonte Carlo methodStatistics
50. R2WinBUGS: A Package for Running WinBUGS from R Sturtz, Sibylle; Ligges, Uwe; Gelman, Andrew E. 2005 Articles Statistics
51. 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
52. Priors on the Variance in Sparse Bayesian Learning; the demi-Bayesian Lasso Madigan, David 2008 Reports Statistics
53. 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
54. Posterior predictive checking and generalized graphical models Gelman, Andrew E. 2009 Presentations (Communicative Events) Statistics
55. Point Process Models for Heterogeneous Event Time Data Wu, Jing 2019 Theses StatisticsPoint processesSocial structureSocial sciences--Data processingOnline social networks
56. Phase retrieval in the high-dimensional regime Bakhshizadeh, Milad 2021 Theses StatisticsX-ray crystallographyX-ray diffraction imagingAstronomical photographySpectrum analysis
57. Partition-based Model Representation Learning Hsu, Yayun 2020 Theses StatisticsInference--Data processingStatistics--MethodologyStatistics--ModelsMachine learning--Statistical methods
58. Partisans without constraint: Political polarization and trends in American public opinion Baldassarri, Delia; Gelman, Andrew E. 2008 Articles Political scienceMathematical statisticsStatistics
59. Overlapping Communities on Large-Scale Networks: Benchmark Generation and Learning via Adaptive Stochastic Optimization Grande, Alessandro Antonio 2022 Theses StatisticsMathematicsStochastic processesMathematical optimizationComputer networksMachine learning--Statistical methods
60. On the Construction of Minimax Optimal Nonparametric Tests with Kernel Embedding Methods Li, Tong 2021 Theses StatisticsGaussian processesNonparametric statistics
61. On Recovering the Best Rank-? Approximation from Few Entries Xu, Shun 2022 Theses StatisticsRanking and selection (Statistics)--Data processing
62. On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference Wang, Wei 2016 Theses Social sciences--Statistical methods--Data processingStatistics
63. On Identifying Rare Variants for Complex Human Traits Fan, Ruixue 2015 Theses Regression analysisGenetics--Statistical methodsGenomics--Data processingHuman genetics--VariationStatisticsBioinformatics
64. 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
65. On Bootstrap Tests of Symmetry About an Unknown Median Zheng, Tian; Gastwirth, Joseph L. 2010 Articles Statistics
66. Neyman-Pearson classification algorithms and NP receiver operating characteristics Tong, Xin; Feng, Yang; Li, Jingyi Jessica 2018 Articles StatisticsScience--Data processingClassificationAlgorithms
67. New perspectives in cross-validation Zhou, Wenda 2020 Theses StatisticsStatistics--MethodologyStatistics--Models
68. 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
69. Multiscale Representations for Manifold-Valued Data Rahman, Inam Ur; Drori, Iddo; Stodden, Victoria C.; Donoho, David L.; Schroeder, Peter 2005 Articles Statistics
70. Multiplicative Multiresolution Analysis for Lie-group Valued Data Indexed by a Euclidean Parameter Stodden, Victoria C. 2001 Presentations (Communicative Events) Computer scienceStatistics
71. 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
72. Multiple Causal Inference with Bayesian Factor Models Wang, Yixin 2020 Theses StatisticsInferenceAlgorithms--DesignBayesian statistical decision theory
73. Modernizing Markov Chains Monte Carlo for Scientific and Bayesian Modeling Margossian, Charles Christopher 2022 Theses StatisticsBayesian statistical decision theoryMarkov processesMonte Carlo method
74. Modeling Strategies for Large Dimensional Vector Autoregressions Zang, Pengfei 2012 Theses Statistics
75. Modeling Random Events Quintos Lima, Alejandra 2022 Theses Mathematical modelsStatisticsRandom data (Statistics)MicrofinanceMarkets--ForecastingFinancial crises--Mathematical models
77. Minimax-inspired Semiparametric Estimation and Causal Inference Hirshberg, David Abraham 2018 Theses StatisticsParameter estimationMathematical statistics
78. Methods for Personalized and Evidence Based Medicine Shahn, Zach 2016 Theses Evidence-based medicineMedical care--StatisticsPersonalized medicineStatistics
79. Medication-Wide Association Studies Ryan, P. B.; Madigan, David B.; Stang, P. E.; Schuemie, M. J.; Hripcsak, George M. 2013 Articles PharmacologyStatisticsBioinformatics
80. Measuring Spatial Extremal Dependence Cho, Yong Bum 2016 Theses Spatial analysis (Statistics)StatisticsBootstrap (Statistics)Extremal problems (Mathematics)
81. Location Estimation in Wireless Networks: A Bayesian Approach Madigan, David B.; Ju, Wen-Hua; Krishnan, P.; Krishnakumar, A. S.; Zorych, Ivan 2006 Articles MathematicsStatistics
82. Linear Constraints in Optimal Transport Stebegg, Florian 2019 Theses StatisticsMathematicsMartingales (Mathematics)
83. Limit Theory for Spatial Processes, Bootstrap Quantile Variance Estimators, and Efficiency Measures for Markov Chain Monte Carlo Yang, Xuan 2014 Theses Statistics
84. Limit theorems beyond sums of I.I.D observations Austern, Morgane 2019 Theses StatisticsMathematicsLimit theorems (Probability theory)Symmetry (Mathematics)Central limit theorem
85. [Least Angle Regression]: Discussion Madigan, David B.; Ridgeway, Greg 2004 Articles MathematicsStatistics
86. Learning Theory Analysis for Association Rules and Sequential Event Prediction Rudin, Cynthia; Letham, Benjamin; Madigan, David B. 2013 Articles StatisticsArtificial intelligence
87. Latent Variable Models in Measurement: Theory and Application Fang, Guanhua 2020 Theses StatisticsLatent variablesMathematical modelsPsychometrics--Mathematical modelsEducational tests and measurements
88. Latent Variable Models for Events on Social Networks Ward, Owen Gerard 2022 Theses StatisticsSocial networksOnline social networksSocial hierarchy in animalsMarkov processesLatent variables
89. Latent Variable Modeling and Statistical Learning Chen, Yunxiao 2016 Theses Educational tests and measurements--Statistical methodsPsychological tests--Statistical methodsLearning, Psychology of--Mathematical modelsLatent variablesStatistics
90. Latent demographic profile estimation in hard-to-reach groups McCormick, Tyler H.; Zheng, Tian 2012 Articles Statistics
91. La polarisation politique et comment étudier ça avec la statistique Gelman, Andrew E. 2010 Presentations (Communicative Events) Statistics
92. La philosophie et l'expérience de la statistique bayésienne Gelman, Andrew E.; Shalizi, Cosma 2010 Presentations (Communicative Events) Statistics
94. Interaction-Based Learning for High-Dimensional Data with Continuous Predictors Huang, Chien-Hsun 2014 Theses Epistasis (Genetics)Instrumental variables (Statistics)Nonparametric statisticsCluster analysisMachine learning--Statistical methodsStatistics
95. Inference in ERGMs and Ising Models. Xu, Yuanzhe 2023 Theses StatisticsRandom graphsIsing modelMarkov processesGaussian Markov random fields
96. Improving the Presentation of Quantitative Results in Political Science Kastellec, John; Gelman, Andrew E. 2009 Presentations (Communicative Events) Political scienceStatistics
97. 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
98. How many people do you know?: Efficiently estimating personal network size Zheng, Tian; Salganik, Matthew J.; McCormick, Tyler H. 2010 Articles StatisticsSocial sciences--Research
99. High-dimensional asymptotics: new insights and methods Wang, Shuaiwen 2020 Theses StatisticsLinear models (Statistics)Regression analysis--Asymptotic theoryEstimation theory--Asymptotic theoryStandard deviations
100. High-dimensional Asymptotics for Phase Retrieval with Structured Sensing Matrices Dudeja, Rishabh 2021 Theses StatisticsGaussian processesMatricesIterative methods (Mathematics)