Learning linear non-Gaussian directed acyclic graph with diverging number of nodes

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Projects

  1. GRF: Competitive and Prediction-Aware Online Optimization for Storage-Assisted Demand Response under Load Uncertainty and Peak-Demand Charge

    CHEN, M. (Principal Investigator / Project Coordinator)

    1/12/21 → …

    Project: Research

  2. GRF: Hierarchical Modeling of Directed Acyclic Graphs: Estimation, Selection and Asymptotics

    WANG, J. (Principal Investigator / Project Coordinator)

    1/01/21 → 1/08/22

    Project: Research

  3. GRF: Latent Factor Modeling of Large-Scale Directed Networks with Covariates and Structures

    WANG, J. (Principal Investigator / Project Coordinator)

    1/01/20 → 1/08/22

    Project: Research