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Complex Data Modeling Research Network

Complex Data Modeling Research Network

The BayesLab at Bocconi is part of the Complex Data Modeling Research Network, an intercontinental initiative that brings together leading researchers in Statistics and Data Science from several institutions across the world. The mission of the network is to promote world-class data science research, developing innovative methodology to support the generation of data-based evidence, and to foster faculty and student interaction and exchange among the centers involved in the network. The network contributes to provide a timely answer to the rapidly increasing demand for advanced methodologies, as well as skilled individuals, able to effectively extract relevant and interpretable information from large and complex data sets. The Complex Data Modeling Research Network carries out its role by organizing open and closed online seminars, and reading groups (see here for more details). The participation of BayesLab in the network includes research collaborations, fostering visiting periods of scholars across institutions and organizing joint online seminars that are attended by researchers from different institutions across the whole network.

Seminars sponsored by BayesLab during the Fall 2020 semester:

  •  29/10/2020, 5pm CET
    Title: Bayesian Semiparametric Longitudinal Drift-Diffusion Mixed Models for Category Learning
    Speaker: Abhra Sarkar (University of Texas at Austin)

  • 05/11/2020, 5pm CET
    Title: On singular statistical models: Instability, computational efficiency and statistical accuracy
    Speaker: Nhat Ho (University of Texas at Austin)

  • 19/11/2020, 5pm CET
    Title: Identifying the latent space geometry of network models through analysis of curvature
    Speaker: Tyler H. McCormick (University of Washington)

Institutions involved in the network

Department of Statistics, Brigham Young University (BYU), USA
Department of Statistical Science, Duke University (DUKE), USA
Department of Statistics, Ohio State University (OSU), USA
Department of Statistics, Rice University (RU), USA
Department of Statistics, University of California at Irvine (UCI), USA
Department of Biostatistics, University of California at Los Angeles
Department of Statistics, University of California at Santa Cruz (UCSC), USA
Department of Statistics and Data Sciences, University of Texas at
Austin (UTA), USA

Department of Statistics, Pontificia Universidad Católica de Chile (UC),
Department of Probability and Statistics, IIMAS (UNAM), Mexico
Department of Statistics, Instituto Tecnológico Autónomo de México
(ITAM), Mexico

BayesLab, Bocconi Institute for Data Science and Analytics, Bocconi
University (BU), Italy
“de Castro” Statistics Initiative, Collegio Carlo Alberto (CCA), Torino,