ABS10 - 2010 Applied Bayesian Statistics School

BAYESIAN MACHINE LEARNING WITH BIOMEDICAL APPLICATIONS

EURAC, Bolzano/Bozen, Italy

June, 11-15, 2010

PROGRAMME

Friday June 11

  • [08.00-          ] Registration
  • [09.00-10.30] Introduction to Bayesian Methods for Regression
  • [10.30-11.00] Coffee Break
  • [11.00-12.30] Shrinkage Priors for High-Dimensional Regularization

  • [13.00-14.00] Lunch at EURAC

  • [14.30-16.00] PRACTICAL SESSION: Bayesian Computation in High-Dimensional Regression
  • [16.00-16.30] Coffee Break
  • [16.30-18.00] Participants' Talks

  • Simon Aeschbacher, University of Edinburgh, United Kingdom
    The choice of summary statistics in Approximate Bayesian Computation
  • Laura Azzimonti, Politecnico di Milano, Italy Mixed-effects models for growth curves: an application to the study of reconstitution kinetics of lymphocyte subpopulations
  • Stefano Baraldo, Politecnico di Milano, Italy Statistical models for hazard functions: a case study of hospitalizations in health failure telemonitoring
  • Ramiro Barrantes, University of Vermont, USA
    Using shifts in amino acid frequency or substitution rate to identify latent structural characters improves our understanding of the structure, function and evolution of base-excision repair enzymes
  • Discussion by Guido Consonni, David Dunson, Luca La Rocca, Cosetta Minelli and John Thompson

  • [20.00-22.00] Welcome buffet at EURAC

    • Saturday June 12

  • [09.00-10.30] Introduction to Bayesian Model Selection and Averaging
  • [10.30-11.00] Coffee Break
  • [11.00-12.30] Bayesian Variable Selection

  • [13.00-14.00] Lunch at EURAC

  • [14.30-16.00] PRACTICAL SESSION: Stochastic Search Algorithms
  • [16.00-16.30] Coffee Break
  • [16.30-18.00] Participants' Talks

  • Antonio Canale, Università di Padova, Italy
    Bayesian Mixture for Counts
  • Francesca Ieva, Politecnico di Milano, Italy
    A hierarchical random-effects model for survival in patients with Acute Myocardial Infarction
  • Andrea Mognon, Fondazione Bruno Kessler, Italy
    Brain Decoding: Biases in Error Estimation `
  • Cristian Pattaro, Mirko Modenese and Fabiola Del Greco, EURAC, Italy
    Selection of SNPs to be replicated in GWA studies: a Bayesian approach
  • Emanuela Raffinetti, Università di Pavia, Italy
    Lorenz zonoids and dependence measures: a proposal
  • Discussion by Guido Consonni, David Dunson, Luca La Rocca, Cosetta Minelli and John Thompson

    • Sunday June 13

  • [09.00-10.30] Introduction to Bayesian Latent Factor Models
  • [10.30-11.00] Coffee Break
  • [11.00-12.30] Sparse Latent Factor Models for Large p, Small n

  • [12.30-          ] Free afternoon and evening

    • Monday June 14

  • [09.00-10.30] Bayesian Methods for Classification Through Mixture Modeling
  • [10.30-11.00] Coffee Break
  • [11.00-12.30] Bayesian Methods for Unsupervised Clustering

  • [13.00-14.00] Lunch at EURAC

  • [14.30-16.00] Computational Algorithms for Classification and Clustering
  • [16.00-16.30] Coffee Break
  • [16.30-18.00] PRACTICAL SESSION: Bayesian Computation in Classification and Clustering

  • [20.00-          ] Farewell dinner at Batzen Hausl (Ca' de Bezzi), via Andreas Hofer, 30

    • Tuesday June 15

  • [09.00-10.30] Applications to Genomics, Imaging and Functional Data Analysis
  • [10.30-11.00] Coffee Break
  • [11.00-12.30] Multi-Task Learning through Bayesian Hierarchical Modeling