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OLD CHEMISTRY 116 X 03/19/2019 X
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Big (Network) Data: Challenges and Opportunities for Data Science

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Learning Coexpression Networks from Single Cell Gene Expression

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Large-scale evidence generation across a network of databases (LEGEND) for hypertension: real-world, reliable and reproducible

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David Blei

Scaling and Generalizing Approximate Bayesian Inference

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Causal inference under spillover and contagion: structural versus agnostic methods

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PageRank on Directed Complex Networks

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Markov-Modulated Hawkes Processes for Sporadic and Bursty Event Occurrences

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Bayesian Categorical Matrix Factorization via Double Feature Allocation

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Kernel tests of goodness-of-fit using Stein's method

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A Bayesian Approach to Mapping Directional Brain Networks

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Shuffled monotone regression

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Stochastic nets and Bayesian regularization

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'Statistics 101' for Network Data Objects

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Bhramar Mukherjee, University of Michigan

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Testing high-dimensional linear hypotheses through spectral shrinkage

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Dawn Woodard, Uber

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Siddhartha Chib, Washington University, St. Louis

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Long Nguyen, Univeristy of Michigan

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Jessica Cisewski, Yale

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Yi Yang, McGill University

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Rebecca Hubbard, Perelman School of Medicine, University of Pennsylvania

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