The ISBA 2010 World Meeting logo



Home
Schedule
Program Committee
Accommodation
Contact Us
ISBA

Tutorials - June 3, 2010
  • "Introduction to Bayesian inference"  -  9:00-10:20
    • Sonia Petrone, Department of Decision Sciences, Bocconi University, Milano
  • "Some topics on Bayesian nonparametric mixture models"  -  10:25-11:45
    • Ramsés Mena, IIMAS-UNAM
  • "A quick tour to the principles and approaches of decision theory"  -  11:50-13:10
    • Lurdes Y. T. Inoue, Department of Biostatistics, University of Washington

Contributed Talks
Thursday, June 3, 2010
Session 1
17:00-18:40

 Stochastic models and stochastic Monte Carlo
Chair: Herbie Lee (University of California, Santa Cruz, USA)
  • Joaquin Miguez (Universidad Carlos III)
    • Solving a class of global optimization problems by way of Bayesian estimation methods
  • Flavio Gonçalves (University of Warwick)
    • Exact Simulation and Bayesian Inference for Jump-Diffusion Processes
  • Gareth Roberts (University of Warwick)
    • MCMC in high dimensions: A New Perspective
  • Mehrabian, Amaan (McGill University, Canada)
    • Particle-filter based maximum likelihood ratio test for ttochastic volatility models with leverage
Break
Session 2
19:10-20:50
 Biostatistics
Chair: Kerrie Mengersen (Queensland Univ. of Technology, Australia)
  • Marina Savelieva (Novartis)
    • Bayesian approach to Population PKPD Modelling: advantages and drawbacks
  • Milovan Krnjajic (National University of Ireland)
    • Bayesian flexible models for censored data
  • David Draper (University of California, Santa Cruz)
    • A Bayesian Decision-Theoretic Alternative to Standard Multiple-Comparisons Adjustments in Clinical Trials
  • Sara Geneletti (London School of Economics)
    • Uncovering selection bias in case­control studies using Bayesian poststratificatio

Friday, June 4, 2010
Session 3
17:00-18:40
 Bioinformatics
Chair: Andrès Christen (CIMAT, Mexico)
  • Paola Rancoita (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale)
    • Bayesian Integrated Genomics
  • Shane Jensen (The Wharton School)
    • Bayesian Modeling of the  Evolutionary Escape Response of HIV
  • Christopher Yau (University of Oxford)
    • Decision theoretic Bayesian nonparametric inference for the molecular characterisation and stratification of colorectal cancer using genome-wide microarrays
  • Alan Lenarcic (Harvard University)
    • A Bayesian Application of Lasso in Covariance Network Selection
Break
Session 4
19:10-20:50
 Jose Bernardo Honorary session (decision theory and prior specification)
Chair: Merlise Clyde (Duke University, USA)
  • Shakir Mohamed (University of Cambridge)
    • Sparse Exponential Family Latent Variable Models
  • Chris Hans (The Ohio State University)
    • Penalized Regression  via  Orthant Normal Priors
  • Richard Hahn (Duke University)
    • Sparse Partial Factor Regression
  • Simon Lacoste-Julien (University of Cambridge)
    • Approximate inference for the loss-calibrated Bayesian

Saturday, June 5, 2010
Session 5
17:00-18:40
 Regression Models
Chair: Dani Gamerman (Universidade Federal do Rio de Janeiro, Brazil)
  • Sujit Ghosh (North Carolina State University)
    • Bayesian Shape Restricted Regression with Multivariate Bernstein Polynomials
  • Alicia Quirós (Rey Juan Carlos University)
    • Assessing the fit of regression models for multiple imputation
  • Anirban Bhattacharya (Duke University)
    • Sparse Bayesian infinite factor models
  • William Astle (Imperial College)
    • A Bayesian model of NMR spectra for the deconvolution and quantification of metabolites in complex biological mixtures
Break
Session 6
19:10-20:50
 Statistical Computing
Chair: Marco Ferreira  (University of Missouri, USA)
  • Chris Holmes (University of Oxford)
    • Bayesian Computation on Graphics Cards
  • Andrew Parnell (University College Dublin)
    • Fast joint posterior modelling through marginal posterior mixtures
  • Fabian Wauthier (University of California, Berkeley)
    • Sparse Process Classification via the Gaussian copula
  • Jing Wang (University of Michigan)
    • Approximate MCMC Simulation from Doubly-intractable
      Distributions

Sunday, June 6, 2010
Session 7
17:00-18:40
 Spatial and Temporal Modeling
Chair: Igor Pruenster (Università di Torino, Italy)
  • Debdeep Pati (Duke University)
    • Bayesian geostatistical modeling with informative sampling locations
  • Chris Paciorek (University of California, Berkeley)
    • Flexible spatial latent variable modeling for combining information
      sources while accounting for systematic errors in proxies
  • Carlos Almeida (Technische Universitaet Muenchen)
    • Bayesian inference for time-varying pair-copula constructions
  • Ioanna Manolopoulou (Duke University)
    • Inferences on dynamic point processes using mixture models of spatio-temporal intensity functions
Break

19:10-20:50
ISBA general body meeting

Monday, June 7, 2010
Session 8
17:00-18:40
 Nonparametrics
Chair: Sonia Petrone (Università Bocconi, Italy)
  • Yee Whye Teh (University College London)
    • Hierarchical Bayesian Nonparametric Models for Language and Text
  • Subharup Guha (University of Missouri)
    • Posterior Simulation in Countable Mixture Models  for Large Datasets
  • Michalis Kolossiatis (Cyprus University of Technology)
    • Modelling Via Normalisation for Bayesian Nonparametric Inference
  • Ferenc Huszar (University of Cambridge)
    • Bayesian kernel machines: the third way of going nonparametric
Break
Session 9
19:10-20:50
 Graphical and network models
Chair: Marina Vanucci (Rice, University, USA)
  • Edo Airoldi (Harvard University)
    • Representation and Bayesian analysis of valued networks
  • Geoff Nicholls (Oxford University)
    • Bayesian inference for a partial order from random linear extensions
  • Ricardo Henao (Technical University of Denmark and University of Copenhagen)
    • Learning Structure in Directed Acyclic Graphs with Latent Variables
  • Tyler McCormick (Columbia University)
    • Latent Structure Models for Social Networks using Aggregated Relational Data

Tuesday, June 8, 2010
Session 10
17:00-18:40
 Savage award finalists
Chair: Judith Rousseau (Universitè Paris Dauphine, France)
  • Emily Fox (Duke University)
    • Bayesian Nonparametric Time Series Models for Complex Dynamical  Phenomena
  • Matt Taddy (Chicago Booth)
    • Dynamic Point Process Modeling with a DDP
  • Ryan Adams (University of Toronto)
    • Generative Modeling of Probability Densities with Gaussian Processes  
  • James Scott (University of Texas at Austin)
    • Robust Bayesian shrinkage in sparse signal-extraction problems

Last update: May 18, 2010