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.
### Methods**Aune, 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* ### Bio**Abellan, 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* ### Rain**Ingebrigtsen, 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* ### Spatial**Bachl, 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* |