Results 31 to 40 of about 326,517 (248)
Statistical Modeling of Spatial Extremes [PDF]
, 2012 The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal rainfall is crucial in flood protection.
Davison, A. C. +2 more
core +7 more sources
Annals of GISThe inference of causation is essential for interpretable scientific research and evidence-based policymaking. Existing causal methods – including those based on intervention, forecasting, and graph models – have achieved considerable success in non ...
Bingrong Chen +7 more
doaj +1 more source
Cortical hierarchies perform Bayesian causal inference in multisensory perception.
PLoS Biology, 2015 To form a veridical percept of the environment, the brain needs to integrate sensory signals from a common source but segregate those from independent sources.
Tim Rohe, Uta Noppeney
doaj +1 more source
A max-stable process model for rainfall extremes at different accumulation durations
Weather and Climate Extremes, 2016 A common existing approach to modeling rainfall extremes employs a spatial Bayesian hierarchical model, where latent Gaussian processes are specified on distributional parameters in order to pool spatial information.
Alec G. Stephenson +2 more
doaj +1 more source
A multi-resolution approximation for massive spatial datasets
, 2015 Automated sensing instruments on satellites and aircraft have enabled the collection of massive amounts of high-resolution observations of spatial fields over large spatial regions.
Katzfuss, Matthias
core +2 more sources
Inferring multi-scale neural mechanisms with brain network modelling
eLife, 2018 The neurophysiological processes underlying non-invasive brain activity measurements are incompletely understood. Here, we developed a connectome-based brain network model that integrates individual structural and functional data with neural population ...
Michael Schirner +4 more
doaj +1 more source
Assessing Survey Design for Long-Term Population Trend Detection in Piping Plovers
LandDetermining appropriate spatio-temporal scales for monitoring migratory shorebirds is challenging. Effective surveys must detect population trends without excessive or insufficient sampling, yet many programs lack formal evaluations of survey ...
Eve Bohnett +6 more
doaj +1 more source
European Journal of Soil Science, 2010 Geostatistical analysis of soil properties is undertaken to allow prediction of values of these properties over regions or at unsampled locations. A key step in geostatistical analysis is the estimation of a variogram function that describes the spatial covariance structure of the variable in question. If it can be assumed plausibly that the data are a
openaire +1 more source
State estimation for temporal point processes [PDF]
, 2015 This paper is concerned with combined inference for point processes on the real line observed in a broken interval. For such processes, the classic history-based approach cannot be used.
van Lieshout, M. N. M.
core +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee +9 more
wiley +1 more source