Birs- 24w5196: Frontiers of Bayesian Inference and Data Science
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Title: Distribution theory of Gibbs-type feature allocation
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Title: Ancestor Hawkes Processes for Group Chat Messaging Patterns
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Title: Nesting compound random measures
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Title: Towards variance reduction in MCMC with the occlusion process
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Title: Precision Medicine in HIV
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Title: Functional connectivity across the human subcortical auditory system using an autoregressive matrix-Gaussian copula graphical model approach with partial correlations
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Title: Bayesian Semiparametric Drift-diffusion Models for Cognitive Control Leveraging Stop-signal Tasks
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Title: Scalable inference for epidemic models with individual level data
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Title: Predictive coresets
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Title: Understanding partially exchangeable nonparametric priors for discrete structure
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Title: Scalable smoothing in high-dimensions with BART
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Title: Robust and Conjugate Gaussian Process Regression
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Title: Nonparametrically-perturbed parametric Bayesian models: robustness, efficiency and approximations
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Title: Scalable Bayesian inference for Coalescent Models
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Title: Spatial causal inference in the presence of unmeasured confounding and interference
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Title: Confounder-Dependent Bayesian Mixture Model: Characterizing Heterogeneity of Causal Effects
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Link:http://www.birs.ca/events/2024/5-day-workshops/24w5196/videos/watch/202409031700-BargagliStoffi.html
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Title: Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
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Title: Global-Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data
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Title: Learning to (approximately) count via Bayesian nonparametrics
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Title: Clustering multiple network data: a Bayesian nonparametric approach}
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