Birs- 17w5060: Bayesian Nonparametric Inference: Dependence Structures and their Applications

  1. Title:
    Bayesian nonparametric models for networks

    Speaker:

    Link:

  2. Title:
    Bayesian inference about smooth functions on grahps

    Speaker:

    Link:

  3. Title:
    Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process

    Speaker:

    Link:

  4. Title:
    Convergence and concentration under symmetry constraints

    Speaker:

    Link:

  5. Title:
    Mixture modeling on related samples through psi-stick breaking and kernel perturbation.

    Speaker:

    Link:

  6. Title:
    Statistical properties of variational inference

    Speaker:

    Link:

  7. Title:
    Automated, Scalable Bayesian Inference with Theoretical Guarantees

    Speaker:

    Link:

  8. Title:
    Nonparametric concentration rates for network models

    Speaker:

    Link:

  9. Title:
    On the frequentist validity of Bayesian limits

    Speaker:

    Link:

  10. Title:
    Bayesian Nonparamteric Modelling of Recurrent Event Processes

    Speaker:

    Link:

  11. Title:
    Dependent nonparametric modelling through compound random measures

    Speaker:

    Link:

  12. Title:
    Quantile regression, extremes modeling

    Speaker:

    Link:

  13. Title:
    Dynamic ordinal regression modeling, with applications to estimating natural selection surfaces in population biology

    Speaker:

    Link:

  14. Title:
    Bayesian subspace approximation via mixtures of spherelets

    Speaker:

    Link:

  15. Title:
    Two unrelated topics: Polya trees and copulas

    Speaker:

    Link:

  16. Title:
    Vectors of dependent priors for partially exchangeable data

    Speaker:

    Link:

  17. Title:
    Bayesian inference in the hierarchical Pitman-Yor model

    Speaker:

    Link:

  18. Title:
    Dependent processes for functional forecasting in virtual gas markets

    Speaker:

    Link:

  19. Title:
    Predictive Portfolio Optimization under Expected-Shortfall Including Estimation Error

    Speaker:

    Link: