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Wednesday
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Thursday
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Friday
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9:00 – 10:30
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Stan Tutorial
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I3: Sigrunn Sørbye
I4: Gavin Shaddick
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I7: Samir Bhatt
C3.6: Birgir Hrafnkelsson
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10:30 – 11:00 Friday: 10:15-10:45
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Coffee
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Coffee
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Coffee
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11:00 – 12:30 Friday: 10:45-12:15
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Stan Tutorial
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C2.3: Annette Moeller
C2.4: Thomas Opitz
C2.5: Matt Moores
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C4.7: Sarah Heaps
C4.8: Fabian Bachl
C4.9: Aline Piroutek
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12:30 –14:00 Friday: 12:15-13:45
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Lunch
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Lunch
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Lunch
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14:00 – 15:30 Friday: 14:45-15:30
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Invited 1: Andrew Parnell
Invited 2: Theresa Smith
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I5: Michael Betancourt
I6: Aki Vehtari
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C5.10: Conceição Ribeiro
C5.11: Guanpeng Dong I8: Jim Zidek
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15:30 – 16:00 Friday: 15:30-15:40
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Coffee
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Coffee
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Closing
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16:00 – 17:00 Friday: 15:40
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Contributed 1.1: Helen Ogden
Contributed 1.2: Gianluca Biao
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Posters (until 18.30)
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Coffee
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Name
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Title
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Michael Betancourt
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The (Non-)Center of Attention: Why Hierarchical Models Are
Deviously Hard To Fit
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Samir Bhatt
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Using Latent Gaussian models for disease mapping
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Andrew Parnell
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Statistical palaeoclimate reconstruction: challenges for
the statistics community
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Gavin Shaddick
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Latent process models in environmental public health surveillance
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Theresa Smith
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Spatio-temporal log-Gaussian Cox processes for public health
data
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Sigrunn Holbek Sørbye
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Penalised complexity priors
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Aki Vehtari
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Explaining Gaussian process models
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Jim Zidek
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Sea Mammal tracks as Gaussian processes: fusing statistical and nonstatistical
models
|
Name
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Title
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Fabian Bachl
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Approximate non-linear thinning and probabilistic marks
for log Gaussian Cox process models in INLA
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Gianluca Baio
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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
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Building
substantive beliefs into a prior distribution for the covariance matrix of a spatial
multivariate normal distribution
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Birgir Hrafnkelsson
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A
Bayesian hierarchical model for monthly maxima of instantaneous flow
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Matt Moores
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An
Additive Mixed Model for Raman Spectroscopy
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Anette Møller
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Spatially
adaptive Bayesian estimation for probabilistic temperature forecasts
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Helen Ogden
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Inference
for GLMMs using Laplace approximations: when is it valid?
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Thomas Opitz
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Bayesian
semiparametric inference of space-time trends in extremes of global
temperatures
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Aline Piroutek
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Stochastic Neighborhood Structure in Bayesian Spatial
Models
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Conceição
Ribeiro
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Saptio-Temporal
Modelling of Criminal Data in Portugal
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Jessica Steele
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High
resolution mapping of poverty indicators using INLA
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 Updating...
Ċ Unknown user, 14 Sept 2016, 01:02
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