Timetable

 

Wednesday

Thursday

Friday

9:00 – 10:30

Stan Tutorial

I3: Sigrunn Sørbye

I4: Gavin Shaddick

I7: Samir Bhatt

C3.6: Birgir Hrafnkelsson

10:30 ­– 11:00

Friday: 10:15-10:45

Coffee

Coffee

Coffee

11:00 – 12:30

Friday: 10:45-12:15

Stan Tutorial

C2.3: Annette Moeller

C2.4: Thomas Opitz

C2.5: Matt Moores

C4.7: Sarah Heaps

C4.8:  Fabian Bachl

C4.9: Aline Piroutek

12:30 –14:00

Friday: 12:15-13:45

Lunch

Lunch

Lunch

14:00 – 15:30

Friday: 14:45-15:30

Invited 1: Andrew Parnell

Invited 2: Theresa Smith

I5: Michael Betancourt

I6: Aki Vehtari

C5.10: Conceição Ribeiro

C5.11: Guanpeng Dong

I8: Jim Zidek

15:30 – 16:00

Friday: 15:30-15:40

Coffee

Coffee

Closing

16:00 – 17:00

Friday: 15:40

Contributed 1.1: Helen Ogden

Contributed 1.2: Gianluca Biao

Posters (until 18.30)

Coffee

           


 

 

Name

Title

Michael Betancourt

The (Non-)Center of Attention: Why Hierarchical Models Are Deviously Hard To Fit

Samir Bhatt

Using Latent Gaussian models for disease mapping

Andrew Parnell

 Statistical palaeoclimate reconstruction: challenges for the statistics community

Gavin Shaddick

Latent process models in environmental public health surveillance

Theresa Smith

Spatio-temporal log-Gaussian Cox processes for public health data

Sigrunn Holbek Sørbye

Penalised complexity priors

Aki Vehtari

Explaining Gaussian process models

Jim Zidek

Sea Mammal tracks as Gaussian processes: fusing statistical and nonstatistical models

 

Name

Title

Fabian Bachl

Approximate non-linear thinning and probabilistic marks for log Gaussian Cox process models in INLA

Gianluca Baio

Efficient Gaussian process regression to calculate the expected value of partial perfect information in health economics

Guanpeng Dong

Inequality in Beijing: A Spatial Multilevel Analysis of Perceived Environmental Hazard and Self-rated Health

Sarah Heaps

Building substantive beliefs into a prior distribution for the covariance matrix of a spatial multivariate normal distribution

Birgir Hrafnkelsson

A Bayesian hierarchical model for monthly maxima of instantaneous flow

Matt Moores

An Additive Mixed Model for Raman Spectroscopy

Anette Møller

Spatially adaptive Bayesian estimation for probabilistic temperature forecasts

Helen Ogden

Inference for GLMMs using Laplace approximations: when is it valid?

Thomas Opitz

Bayesian semiparametric inference of space-time trends in extremes of global temperatures

Aline Piroutek

Stochastic  Neighborhood Structure in Bayesian Spatial Models

Conceição Ribeiro

Saptio-Temporal Modelling of Criminal Data in Portugal

Jessica Steele

High resolution mapping of poverty indicators using INLA

 

Ċ
lgm 2016,
14 Sep 2016, 01:02
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