Conference on BAYESIAN NONPARAMETRICS

BELGIRATE (ITALY) June, 17-19th, 1997

All the abstracts are available. Some papers will be available as soon as possible.

PAPERS

  • Elja Arjas (Oulu University, Finland)
    Nonparametric Bayesian intensity estimation from point pattern data
    (joint with Juha Heikkinen, Oulu University, Finland)
  • Persi Diaconis (Cornell University, USA)
    Markov moment problems and de Finetti's theorem
  • Michael Escobar (University of Toronto, Canada)
    Applications with Dirichlet Processes: Revisiting the Beckett-Diaconis Tack Data
  • Nils Hjort (Oslo University, Norway)
    Local Bayesian Regression
  • Prakash Laud (Medical College of Wisconsin, USA)
    Bayesian Analysis of Models for Survival Data
  • Michael Lavine (Duke University, USA)
    Polya trees: a review
  • Pietro Muliere (Pavia University, Italy)
    Prior processes in the presence of censoring
    (joint with Stephen Walker, Imperial College, UK)
  • Eugenio Regazzini (CNR-IAMI and Bocconi University, Italy)
    On approximation of random probability measures by mixtures of Dirichlet processes with application to Bayesian inference
    (joint with Viatcheslav V. Sazonov, Steklov Institute, Russia)
  • Mike West (Duke University, USA)
    Time series on Polya trees: Nonparametric Bayesian autoregressions
    (joint with Fabrizio Ruggeri, CNR-IAMI, Italy)
    • Invited contributors :
  • Cinzia Carota (Pavia University, Italy)
    Further Results with Dirichlet process priors
  • Alessandra Guglielmi (CNR-IAMI, Italy)
    Numerical analysis for distribution functions of means of a Dirichlet process
  • Peter Müller (Duke University, USA)
    A longitudinal data model with non-parametric random effects prior
    (joint with Gary Rosner, Duke University, USA)
  • Andrea Ongaro (Padua University, Italy)
    A general class of nonparametric prior distributions which includes the Dirichlet process
  • Giovanni Petris (Duke University, USA)
    Bayesian Analysis of Long Memory Time Series
  • Sonia Petrone (Pavia University, Italy)
    A prior for Bayesian nonparametric inference based on Bernstein polynomials
  • Luca Tardella (Rome University, Italy, and Duke University, USA)
    Some Robustness Issues in Modelling Bayesian Nonparametrics
  • Stephen Walker (Imperial College, UK)
    A Note on the Scale Parameter of the Dirichlet Process

    • Contributed papers:
  • Jose Bernardo (University of Valencia, Spain)
    Bayesian Kernel Density Estimation
  • Sandra Fortini (Bocconi University, Italy)
    A Characterization of Exchangeable Laws
    (joint with Lucia Ladelli, Milan University, and Eugenio Regazzini, CNR-IAMI and Bocconi University, Italy)
  • Keisuke Hirano (Harvard University, USA)
    Semiparametric Bayesian Models for Longitudinal Earnings Data
  • Giovanna Jona Lasinio (Rome University, Italy)
    Bayesian and Linear Bayesian Inference on Regression Functions using Orthonormal Expansions
    (joint with Pier Luigi Conti, Rome University, USA)
  • Donald Malec (National Center for Health Statistics, USA)
    Small Area Estimation of U.S. Health Outcomes Using Mixtures of Dirichlet Processes
    (joint with Peter Müller, Duke University, USA)
  • Maura Mezzetti (European Institute of Oncology, Italy)
    Nonparametric estimation of survival function by means of partial exchangeability structure
    (joint with Paolo Giudici, Pavia University, Italy)
  • Wolfgang Polasek (University of Basel, Switzerland)
    A Bayesian semiparametric analysis of ARCH models
    (joint with H. Kozumi, University of Hokkaido, Japan)
  • Emma Sarno (University of Naples, Italy)
    Dependence Structures of Polya Tree Autoregressive Models
  • Angelika van der Linde (University of Bremen, Germany)
    Smoothing in Generalized Regression Models


    • Return to the Conference Homepage