1. A Note on Equivalence Classes of Directed Acyclic Independence Graphs Madigan, David B. 1993 Articles MathematicsStatistics
2. [Bayesian Analysis in Expert Systems]: Comment: What's Next? Madigan, David B. 1993 Articles MathematicsStatistics
3. A Characterization of Markov Equivalence Classes for Acyclic Digraphs Andersson, Steen A.; Madigan, David B.; Perlman, Michael D. 1997 Articles MathematicsStatistics
4. Separation and Completeness Properties for Amp Chain Graph Markov Models Levitz, Michael; Perlman, Michael D.; Madigan, David B. 2001 Articles MathematicsStatistics
5. Correction: Separation and completeness properties for AMP chain graph Markov models Madigan, David B.; Levitz, Michael; Perlman, Michael D. 2003 Articles MathematicsStatistics
6. [Least Angle Regression]: Discussion Madigan, David B.; Ridgeway, Greg 2004 Articles MathematicsStatistics
7. A One-Pass Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets Balakrishnan, Suhrid; Madigan, David B. 2006 Articles MathematicsStatistics
8. Location Estimation in Wireless Networks: A Bayesian Approach Madigan, David B.; Ju, Wen-Hua; Krishnan, P.; Krishnakumar, A. S.; Zorych, Ivan 2006 Articles MathematicsStatistics
9. 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
10. 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
11. Bayesian Hierarchical Rule Modeling for Predicting Medical Conditions McCormick, Tyler H.; Rudin, Cynthia; Madigan, David B. 2012 Articles MathematicsStatisticsMedicine
12. Statistical inference in two non-standard regression problems Seijo, Emilio Francisco 2012 Theses StatisticsMathematics
13. A unified view of high-dimensional bridge regression Weng, Haolei 2017 Theses StatisticsRegression analysisMathematics
14. Expansion of a filtration with a stochastic process: a high frequency trading perspective Neufcourt, Léo 2017 Theses StatisticsMathematicsFinance
15. Stochastic Differential Equations and Strict Local Martingales Qiu, Lisha 2018 Theses StatisticsMathematicsStochastic differential equationsMartingales (Mathematics)Convergence
16. Limit theorems beyond sums of I.I.D observations Austern, Morgane 2019 Theses StatisticsMathematicsLimit theorems (Probability theory)Symmetry (Mathematics)Central limit theorem
17. Linear Constraints in Optimal Transport Stebegg, Florian 2019 Theses StatisticsMathematicsMartingales (Mathematics)
18. Characterization of the Fluctuations in a Symmetric Ensemble of Rank-Based Interacting Particles Garrido Garcia, Miguel Angel 2021 Theses StatisticsMathematicsStochastic processesStochastic differential equations
19. Blessing of Dependence and Distribution-Freeness in Statistical Hypothesis Testing Deb, Nabarun 2022 Theses StatisticsMathematicsStatistical hypothesis testing
20. 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