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1:05:06
Duco Veen: On using expert information in Bayesian statistics
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Juho Timonen: Design of Statistical Modeling Software
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Jonathan Auerbach: Could voting restrictions be increasing election fraud?
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Lizzie Wolkovivh: Predicting future forest tree communities and winegrowing regions with Stan
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Rok Češnovar: The Current State and Evolution of Stan
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Lester Mackey: Kernel Thinning and Stein Thinning
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Uri Shalit: Towards responsible patient-level causal inference: taking uncertainty seriously
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Elea Feit: A Gaussian Process Model for Response Time in Conjoint Surveys
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Jessica Hullman: Theories of Inference for Data Interactions
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Tamara Broderick: Fast Discovery of Pairwise Interactions in High Dimensions using Bayes
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Paul Bürkner: An introduction to Bayesian multilevel modeling with brms
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Aki Vehtari: On Bayesian Workflow
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Charles Margossian: Some Outstanding Challenges when Solving ODEs in a Bayesian context
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Kristian Brock: Functional uniform priors for dose-response models
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Arman Oganisian: Introduction to Nonparametric Bayes
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Matthew Kay: Uncertainty visualization and Bayes
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Jacqueline Buros: Predicting survival from early tumor data in oncology clinical trials
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Benjamin Goodrich: Introduction to Bayesian Computation Using the rstanarm R Package
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Andrew Gelman: Introduction to Bayesian Data Analysis and Stan with Andrew Gelman
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