Fields- 6th International Workshop on the Perspectives on High-Dimensional Data Analysis (HDDA-VI)

  1. Title:
    Constructing Statistical Methods for High Dimensional Data

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  2. Title:
    Network Connectivity Based Filtering of Microbiome Data

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  3. Title:
    Homogeneity test of covariance matrices and change-points identification with high dimensional longitudinal data

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  4. Title:
    Construction of Ensemble by Exploiting Richness of Feature Variables in High-Dimensional Data with Applications in Protein Homology

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  5. Title:
    An Efficient Approach for Some Semi-Nonparametric Models Applicable to Mass-Spectrometry Data

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  6. Title:
    Graphical models and time-varying graphical models for estimating brain networks

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  7. Title:
    Covariate-Adjusted Semiparametric Transformation Graphical Models with Applications to Time Series Imaging Data

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  8. Title:
    Joint Structural Estimation of Multiple Graphical Models

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  9. Title:
    A new graphical approach for quick and exact simulation of correlated discrete variables

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  10. Title:
    Hypercube Fits to the Multivariate Linear Model

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  11. Title:
    Recent Developments in Topological Data Analysis

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  12. Title:
    New Estimation and Model Selection Methods in Heterogeneous Time Series Models

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  13. Title:
    Quantile regression with varying coefficients for functional responses

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  14. Title:
    Robust Low-Rank Matrix Recovery

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  15. Title:
    Large scale multiple testing for clustered signals

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  16. Title:
    Neyman-Pearson Classi cation under High-Dimensional Settings

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  17. Title:
    Promote similarity in integrative analysis

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  18. Title:
    Group Selection in A Semiparametric Accelerated Failure Time Model

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  19. Title:
    Variable selection in the presence of nonignorable missing data

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  20. Title:
    Classification with Ultrahigh-Dimensional Features

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