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
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