Invited Sessions

• Murali Haran (The Pennsylvania State University): PICAR: A Fast, Simple Approach for Efficient Fitting of Hierarchical Spatial Models

• Paula Moraga (KAUST): Combined analysis of spatially misaligned data using Gaussian fields and the stochastic partial differential equation approach

• Jonathan R. Bradley (Florida State University): For a given model, what is the best predictor that you can compute in five minutes?

• Finn Lindgren (The University of Edinburgh): inlabru: Extending and simplifying the INLA interface for spatial and non-linear models [slides]

Discussant: Håvard Rue (KAUST)

• Patrick Brown (University of Toronto): Role of geo-spatial environmental factors in determining health surveillance

• Theresa Smith (Bath University): What can the environment tell us about our health? Testing the waters for community-level surveillance.

• Veronica Berrocal (University of California Irvine): How close and how much? Linking health outcomes to spatial distributions of built environment features

• Antonio Gasparrini (LSHTM): Two-stage spatio-temporal models to map temperature-related health impacts across Europe

Discussant: Gavin Shaddick (University of Exeter)

• Giovanni Marini (Edmund Mach Foundation): Environmental drivers of mosquito-borne infections: a modelling approach

• Paulo J. Duarte Neto (Universidade Federal Rural de Pernambuco): Evaluating ecological and biological changes through Functional Data Analysis (FDA) perspective: case studies of brazilian environments

• Joanna Mills Flemming (Dalhousie University): New Approaches to Estimating Population Size for Marine Species

• Thordis L. Thorarinsdottir (Norwegian Computing Center): Validation of point process predictions with proper scoring rules

Discussant: Janine Illian (University of Glasgow)