Birs- 18w5089: Recent Developments in Statistical Theory and Methods Based on Distributed Computing

  1. Title:
    Distributed Statistical Estimation and Rates of Convergence in Normal Approximation

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  2. Title:
    Meta Estimation of Normal Mean Parameter: Seven Perspectives of Data Integration

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    Theory of Deep Convolutional Neural Networks and Distributed Learning

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    Double-Parallel Monte Carlo for Bayesian Analysis of Big Data

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    Variance Component Testing and Selection for a Longitudinal Microbiome Study

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    Applications of a Distributed Computational Method for Microparticle Tracking in Biological Fluids

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    DISK: Divide and Conquer Spatial Kriging for Massive Sea Surface Database

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    A Continuum of Optimal Primal-Dual Algorithms for Convex Composite Minimization Problems with Applications to Structured Sparsity

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  9. Title:
    A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis

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  10. Title:
    Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data

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  11. Title:
    Challenges in the prediction of motor vehicle traffic collisions with GPS travel data

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  12. Title:
    Distributed Computing Using JuliaDB and OnlineStats

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  13. Title:
    On Combination of Inferences After Split-and-Conquer

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  14. Title:
    Online Algorithms for Statistics

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  15. Title:
    Advances in computing parameters for JK69 triplets with fixed topology

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  16. Title:
    Difference-of-Convex (DC) Offers a Unified Framework to Study non-Convex Regularizations for High-Dimensional Sparse Estimation

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