Conference on BAYESIAN NONPARAMETRICS

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

PROGRAMME


Monday June 16th

18.00-20.00 Welcome cocktail and registration
20.00-22.00 Dinner

Tuesday June 17th

8.00- 9.00 Registration
Session 1. Chair: E. Regazzini (CNR-IAMI, Università Bocconi)
9.00-10.00 M. West (*) (Duke University) and F. Ruggeri (CNR-IAMI):
Time series on Polya trees: Nonparametric Bayesian autoregressions
10.00-11.00 E. Arjas (*) and J. Heikkinen (Oulu University):
Nonparametric Bayesian intensity estimation from point pattern data
11.00-11.30 Coffee break
Session 2. Chair: A. van der Linde (University of Bremen)
11.30-12.30 M. Lavine (Duke University):
Polya trees: a review
13.00-14.00 Lunch

Session 3. Chair: W. Polasek (University of Basel)
14.30-15.00 P. Müller (*) and G. Rosner (Duke University):
A longitudinal data model with non-parametric random effects prior
15.00-15.30 A. Ongaro (Università di Padova):
A general class of nonparametric prior distributions which includes the Dirichlet process
15.30-16.00 S. Petrone (Università di Pavia):
A prior for Bayesian nonparametric inference based on Bernstein polynomials
16.00-16.30 L. Tardella (Università di Roma and Duke University):
Some Robustness Issues in Modelling Bayesian Nonparametrics
16.30-17.00 A. Guglielmi (CNR-IAMI):
Numerical analysis for distribution functions of means of a Dirichlet process
17.00-17.30 Coffee break
Session 4. Chair: E. George (University of Texas)
17.30-17.45 J. Bernardo (University of Valencia):
Bayesian Kernel Density Estimation
17.45-18.00 S. Fortini (*) (Università Bocconi), L. Ladelli (Università di Milano) and E. Regazzini (CNR-IAMI, Università Bocconi )
Characterization of Exchangeable Laws
18.00-18.15 K. Hirano (Harvard University):
Semiparametric Bayesian Models for Longitudinal Earnings Data
18.15-18.30 G. Jona Lasinio (*) and P.L. Conti (Università di Roma):
Bayesian and Linear Bayesian Inference on Regression Functions using Orthonormal Expansions
18.30-18.45 D. Malec (*) (National Center for Health Statistics) and P. Müller (Duke University):
Small Area Estimation of U.S. Health Outcomes Using Mixtures of Dirichlet Processes
19.30-20.30 Dinner

Wednesday June 18th

Session 5. Chair: C. Rossi (Università ``Tor Vergata'' di Roma)
9.00-10.00 P. Diaconis (Cornell University):
Markov moment problems and de Finetti's theorem
10.00-11.00 E. Regazzini (*) (CNR-IAMI and Università Bocconi) and V.V. Sazonov (Steklov Institute):
On approximation of random probability measures by mixtures of Dirichlet processes with application to Bayesian inference
11.00-11.30 Coffee break
Session 6. Chair: J.O. Berger (Duke University)
11.30-12.30 M. Escobar (University of Toronto):
Applications with Dirichlet Processes: Revisiting the Beckett-Diaconis Tack Data
13.00-14.00 Lunch

Session 7. Chair: J. Bernardo (University of Valencia)
14.30-15.00 C. Carota (Università di Pavia):
Further Results with Dirichlet process priors
15.00-15.30 G. Petris (Duke University):
Bayesian Analysis of Long Memory Time Series
15.30-16.00 S. Walker (Imperial College):
A Note on the Scale Parameter of the Dirichlet Process
16.00-16.30 Coffee break
Session 8. Chair: V.V. Sazonov (Steklov Institute, Moscow)
16.30-16.45 M. Mezzetti (*) (European Institute of Oncology) and P. Giudici (Università di Pavia):
Nonparametric estimation of survival function by means of partial exchangeability structure
16.45-17.00 W. Polasek (University of Basel):
A Bayesian semiparametric analysis of ARCH models
17.00-17.15 E. Sarno (Università di Napoli):
Dependence Structures of Polya Tree Autoregressive Models
17.15-17.30 A. van der Linde (University of Bremen):
Smoothing in Generalized Regression Models
18.00-21.00 Boat trip on the lake
21.00-22.00 Dinner

Thursday June 19th

Session 9. Chair: M. West (Duke University):
9.00-10.00 N. Hjort (Oslo University):
Local Bayesian Regression
10.00-11.00 P. Muliere (*) (Università di Pavia) and S. Walker (Imperial College):
Prior processes in the presence of censoring
11.00-11.30 Coffee break
Session 10. Chair: F. Ruggeri (CNR-IAMI):
11.30-12.30 P. Laud (Medical College of Wisconsin):
Bayesian Analysis of Models for Survival Data
13.00-14.00 Lunch
(*) denotes the speaker



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