1. About SparseLab Donoho, David L.; Stodden, Victoria C.; Tsaig, Yaakov 2007 Reports Communication of technical informationComputer science
2. A Brief History of the Reproducibility Movement Stodden, Victoria C. 2012 Presentations (Communicative Events) Communication of technical informationComputer science
3. A Characterization of Markov Equivalence Classes for Acyclic Digraphs Andersson, Steen A.; Madigan, David B.; Perlman, Michael D. 1997 Articles MathematicsStatistics
4. A continuous morphological approach to study the evolution of pollen in a phylogenetic context: An example with the order Myrtales Kriebel, Ricardo; Khabbazian, Mohammad Hassan; Sytsma, Kenneth J. 2017 Articles PhylogenyPollen--MorphologyMyrtalesBotanyStatistics
5. A demonstration and findings of a statistical approach through reanalysis of inflammatory bowel disease data Lo, Shaw-Hwa; Zheng, Tian 2004 Articles BiometryGenetics
6. A dual-clustering framework for association screening with whole genome sequencing data and longitudinal traits Lui, Ying; Huang, Chien-Hsun; Hu, Inchi; Zheng, Tian; Lo, Shaw-Hwa 2014 Articles GeneticsBiometry
7. Advances in Credit Risk Modeling Neuberg, Richard 2017 Theses Financial riskFinancial risk managementFinance--Statistical methodsFinance--StatisticsCredit--Management--Statistical methodsStatisticsFinance
8. Advances in Deep Generative Modeling With Applications to Image Generation and Neuroscience Loaiza Ganem, Gabriel 2019 Theses StatisticsMachine learningComputer simulationNeurosciences--Data processingNeural networks (Computer science)Digital images
9. Advances in Machine Learning for Complex Structured Functional Data Tang, Chengliang 2022 Theses StatisticsMachine learning--Statistical methodsStatistical functionals
10. Advances in Machine Learning for Compositional Data Gordon Rodriguez, Elliott 2022 Theses StatisticsMachine learning--Statistical methodsGeochemistryBacteriology
11. Advances in Model Selection Techniques with Applications to Statistical Network Analysis and Recommender Systems Franco Saldana, Diego 2016 Theses Linear models (Statistics)ProbabilitiesProportional hazards modelsStatistics
12. Advances in Statistical Machine Learning Methods for Neural Data Science Zhou, Ding 2021 Theses StatisticsNeurosciencesBayesian statistical decision theoryCalcium imaging
13. 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
14. A Generalizable Brain-Computer Interface (BCI) Using Machine Learning for Feature Discovery Nurse, Ewan S.; Karoly, Philippa J.; Grayden, David B.; Freestone, Dean R. 2015 Articles Brain-computer interfacesElectroencephalography--Computer programsMachine learningNeuronsNeural networks (Computer science)Neurosciences
15. A Global Empirical Evaluation of New Communication Technology Use and Democratic Tendency Stodden, Victoria C. 2009 Articles InternetPolitical science
16. A Graphon-based Framework for Modeling Large Networks He, Ran 2015 Theses StatisticsAlgorithmsNetwork analysis (Planning)--Mathematical models
17. 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
18. Algorithms for Sparse Linear Classifiers in the Massive Data Setting Balakrishnan, Suhrid; Madigan, David B.; Bartlett, Peter 2008 Articles StatisticsArtificial intelligence
19. Analysis of genotype by methylation interactions through sparsity-inducing regularized regression Zhou, Wenda; Lo, Shaw-Hwa 2018 Articles Quantitative researchDNA--MethylationGenetics
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