BISP8

Eighth Workshop on

BAYESIAN INFERENCE IN STOCHASTIC PROCESSES


CNR-IMATI, Milan (MI), Italy

June, 6-8, 2013




Contributed posters:

  • Isadora Antoniano-Villalobos (Bocconi University, Italy)
    A stationary nonparametric model for time series
    Abstract BISP8.27
  • Luke Bornn (Harvard University, USA)
    Modeling nonstationary stochastic processes through dimension expansion
    Abstract BISP8.28
  • Pierpaolo De Blasi (University of Torino and Collegio Carlo Alberto, Italy)
    Posterior consistency of nonparametric location-scale mixtures for multivariate density estimation
    Abstract BISP8.29
  • Stefano Favaro (University of Torino, Italy)
    Bayesian nonparametric estimation of discovery probabilities
    Abstract BISP8.30
  • Luke Kelly (University of Oxford, UK)
    Exact likelihood evaluation for phylogenetic trees with lateral trait transfer
    Abstract BISP8.31
  • Tiep Mai (Trinity College Dublin, Ireland)
    Sequential inference with iterated Laplace approximation
    Abstract BISP8.32
  • Laura Martín-Fernández (Universidad de Granada, Spain)
    Functional response estimation and population tracking in a Lotka-Volterra system using a Bayesian filtering technique
    Abstract BISP8.33
  • Manuel Mota (University of Extremadura, Spain)
    Bayesian inference in a class of two-sex branching processes in a random environment
    Abstract BISP8.34
  • Consuelo R. Nava (University of Torino and Collegio Carlo Alberto, Italy)
    Poisson driven stationary Markovian models
    Abstract BISP8.35
  • Inad Nawajah (Politecnico di Milano, Italy)
    Bayesian analysis of home health care longitudinal count data
    Abstract BISP8.36
  • Mu Niu (University of Sheffield, UK)
    Modelling group dynamic animal movement in continuous time
    Abstract BISP8.37
  • Gamze Özel (Hacettepe University, Turkey)
    Bayesian inference for the compound Poisson process
    Abstract BISP8.38
  • Andrej Peisker (University of Melbourne, Australia)
    Bayesian inference from vague data with an application to particle tracking
    Abstract BISP8.39
  • Marco Rodriguez (Université du Québec, Canada)
    Spatial modeling of fish abundance in a stream network
    Abstract BISP8.41
  • Matteo Ruggiero (University of Torino, Italy)
    Time-varying density estimation with diffusive Dirichlet mixtures
    Abstract BISP8.42
  • Martin Schäfer (Dortmund University, Germany)
    Spatial modelling of Ras protein structures on the cellular membrane
    Abstract BISP8.43
  • Chris Sherlock (Lancaster University, UK)
    Optimisation of pseudo-marginal random walk Metropolis algorithms
    Abstract BISP8.44
  • Arno Solin (Aalto University, Finland)
    Bayesian inference in stochastic partial differential equations and Gaussian process regression problems using infinite-dimensional Kalman filtering
    Abstract BISP8.45
  • Polina Sporysheva (Bocconi University, Italy)
    Bayesian inference for dependent species sampling processes
    Abstract BISP8.46
  • Simon Taylor (Lancaster University, UK)
    Particle learning approach to Bayesian model selection: an application from neurology
    Abstract BISP8.47
  • Joseph J. Wheatley (University of Sheffield, UK)
    Bayesian layer-counting in Ice Cores - reconstructing the time scale of multivariate signals
    Abstract BISP8.48
  • Simon Wilson (Trinity College Dublin, Ireland)
    First analysis of Planck data using Bayesian source separation methods with Gaussian Markov random field priors
    Abstract BISP8.49



last update: 9/9/2012

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