Invited lecturers:

• Elja Arjas (University of Helsinki, Finland)
  Time to consider time, and time to predict?
  Abstract BISP8.01

• Vanja Dukic (University of Colorado, USA)
  Bayesian inference in structured epidemics
  Abstract BISP8.02

• Antonio Lijoi (University of Pavia, Italy)
  Canonical correlations and dependent prior processes
  Abstract BISP8.03

• Finn Lindgren (Norwegian University of Science and Technology, Norway)
  Constructing credible regions for contours and excursions
  Abstract BISP8.04

• Mario Peruggia (Ohio State University, USA)
  Bayesian Models for Sequences of Response Time Data
  Abstract BISP8.05

• Bruno Sansò (University of California at Santa Cruz, USA)
  Seasonal marked point processes for hurricane occurrences and attributes
  Abstract BISP8.06

Young researchers invited to contribute:

• Osvaldo Anacleto (Roslin Institute, University of Edinburgh, UK)
  Dynamic chain graph models for multivariate time series
  Abstract BISP8.07

• Veronica Berrocal (University of Michigan, USA)
  A class of generalized conditionally autoregressive models
  Abstract BISP8.08

• Tamara Broderick (University of California at Berkeley, USA)
  Clusters and features from combinatorial stochastic processes
  Abstract BISP8.09

• Roberto Casarin (University of Venezia, Italy)
  Beta-product dependent Pitman-Yor process prior for Bayesian inference
  Abstract BISP8.10

• Murali Haran (Pennsylvania State University, USA)
  Inference with Implicit Likelihoods
  Abstract BISP8.11

• Bumsoo Kim (George Washington University, USA)
  Dynamic Bayes network approach to market basket analysis
  Abstract BISP8.12

• Ettore Lanzarone (CNR-IMATI, Italy)
  Bayesian estimation of thermal conductivity and temperature profile in homogeneous masses
  Abstract BISP8.13

• Ricardo Lemos (University of Queensland, Australia)
  Growth, reproduction and death: an integrated model for fish stocks
  Abstract BISP8.14

• Vinicius Diniz Mayrink (Federal University of Minas Gerais, Belo Horizonte, Brazil)
  Sparse latent factor models with interactions: analysis of gene expression data
  Abstract BISP8.15

• Ana Paula Palacios (Plymouth University, UK)
  Bayesian inference for a stochastic growth process
  Abstract BISP8.16

last update: 9/9/2012

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