• Noel Cressie (Ohio State University) , Spatio-temporal satellite data processing

INVITED SESSION 1

• Charmaine Dean (Simon Fraser University) , Spatial and mixture models for the analysis of recurrent events

• Jay Ver Hoef (National Marine Mammal Laboratory) , Space-time zero-inflated count models of harbor seals

INVITED SESSION 2

• Lola Ruiz Medina (University of Granada), Functional estimation of spatiotemporal heterogeneities

• Marc Genton (Texas A&M University), Space-time separability

• Wenceslao González - Manteiga (Santiago de Compostela University), Comparing spatial dependence structures

INVITED SESSION 3

• María Durbán (Carlos III University), Multidimensional P-spline mixed models: A unified approach to smoothing on large grids

• Youngjo Lee (Seoul National University), H-likelihood approach to spatio-temporal modelling

INVITED SESSION 4

• Ying MacNab (University of British Columbia), Spline smoothing in Bayesian disease mapping

• Andrew Lawson (University of South Carolina), Local Likelihood Models for Disease Cluster Modeling: A Space-Time Extension

• Nicky Best (Imperial College), Multivariate Bayesian modelling of several diseases in space and time

• Sylvia Richardson (Imperial College), Analysis of space time patterns of disease risk

INVITED SESSION 5

• Jorge Mateu (University Jaume I), A deeper look at some properties of space-time covariance functions

• Eric Renshaw (University of Strathclyde), Inferring the space-time growth-interaction structure of marked point processes from partial observations