The poster session will take place Thursday 31 May 2012 from 16:30 to 18:30 outside auditorium R1 in Realfagbygget. The contributed posters are organized in four general themes: methods, bio, rain and spatial.
For organizational purposes only the name of the main author/presenter is listed.
MethodsAune, E. (P1) Parameter Estimation in High Dimensional Gaussian Distributions de Zea Bermudez, P. (P2) A particle marginal Metropolis-Hastings sampler for bilinear processes Doan, T. (P3) Temporal Misalignment in Non-Gaussian Time Series Analysis Eidsvik, J. (P4) Estimation and prediction in large spatial models using composite likelihood Gsponer, T. (P5) A Bayesian view of counterfactual causality Hoveid, Ø. (P6) INLA for models with multiple system parameters and nasty state-variable posteriors using quasi-Monte Carlo integration Illner, K. (P7) Bayesian blind source separation for data with networks as dependence structure Rezakhah, S. (P8) Hidden Markov Mixture Autoregressive Models Torres-Avilés, F. (P9) Bayesian approaches for Poisson models to estimate Bivariate Relative Risks Wilson, S. (P10) Fast Sequential Parameter Inference for Dynamic State Space Models BioAbellan, J. (P11) A Bayesian multivariate autocorrelated latent Gaussian model for daily follow-up of bacterial communities in the human gut Adrion, C. (P12) Bayesian model selection using INLA with application to longitudinal count data Geilhufe, M. (P13) Spatio-temporal modeling of communicable diseases: A case study of North Norway Holand, A. (P14) Bayesian animal model using integrated nested Laplace approximations: a wild house sparrow population case study Muñoz, F. (P15) The spatial distribution of fish species Nikolaou, V. (P16) Bayesian dynamic latent trait models: Application to assessing effectiveness of enzyme replacement therapy for lysosomal storage disorders Papoila, A. (P17) Colorectal cancer incidence in Southern Portugal 1998-2006: a spatio-temporal analysis Rieger, A. (P18) Analysing the spatial structure of rates Schliep, E. (P19) Multivariate multilevel latent Gaussian process model to evaluate wetland health RainIngebrigtsen, R. (P20) Using Stochastic Partial Differential Equation Models for Spatial Reconstruction of Annual Precipitation Johansen, S. (P21) Daily simulation of probabilistic quantitative precipitation fields using a class dependent meta-Gaussian model Polushina, T. (P22) Monte Carlo methods in rainfall modelling Sigurdarson, A. (P23) A Bayesian hierarchical model for monthly precipitation in Iceland Sigurdarson, H. (P24) A Bayesian hierarchical model for discharge rating curves SpatialBachl, F. (P25) Latent Gaussian Models for Dust Aerosol Classification Fuglstad, G.-A. (P26) Spatial modelling and Inference with SPDE-based Gaussian Markov Random Fields Gómez-Rubio, V. (P27) Spatial econometrics models with INLA Hrafnkelsson, B. (P28) A linear mixed effects model with t-distributed errors with spatially varying scale - An application to fillet yield data Hu, X. (P29) Multivariate Gaussian Random Fields using systems of Stochastic Partial Differential Equations Liu, J. (P30) Bayesian Estimation of Diffusion Tensors from Diffusion-Weighted Magnetic Resonance (DW-MR) Data Lindström, J. (P31) Using non-stationary GMRFs to model Bathymetry data Pereira, P. (P32) Characterizing Forest Fires Patterns in Portugal Roininen, L. (P33) Discretisation-invariant priors in Bayesian statistical inversion with an application in ionospheric tomography Särkkä, S. (P34) Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Random Fields Wallin, J. (P35) Change of Support models using GMRF Zareifard, H. (P36) Skew Gaussian Markov Random Fields on Regular Lattices |
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