Results 281 to 290 of about 518,510 (312)
Efficient inference for spatial extreme value processes associated to log-Gaussian random functions [PDF]
Biometrika, 2014 Max-stable processes arise as the only possible nontrivial limits for maxima of affinely normalized identically distributed stochastic processes, and thus form an important class of models for the extreme values of spatial processes.
Jennifer L Wadsworth +2 more
exaly +3 more sources
Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets
Technometrics, 2018 Spatial process models for analyzing geostatistical data entail computations that become prohibitive as the number of spatial locations becomes large. There is a burgeoning literature on approaches for analyzing large spatial datasets.
Rajarshi Guhaniyogi, Sudipto Banerjee
exaly +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Spatial scale modulates the inference of metacommunity assembly processes
Ecology, 2019The abundance and distribution of species across the landscape depend on the interaction between local, spatial, and stochastic processes. However, empirical syntheses relating these processes to spatiotemporal patterns of structure in metacommunities ...
Duarte S Viana, Jonathan M Chase
exaly +2 more sources
DISEASE TRANSMISSION OF ASPERGILLOSIS IN SEA FANS: INFERRING PROCESS FROM SPATIAL PATTERN
Ecology, 2002Despite recent high impacts of disease in the ocean, quantitative studies of diseases in natural marine populations lag far behind terrestrial systems. Transmission processes are poorly known in relatively open marine systems. We studied infection of sea fans Gorgonia ventalina by the fungus Aspergillus sydowii.
Anna E. Jolles +3 more
openaire +1 more source
Inference for Clustered Inhomogeneous Spatial Point Processes
Biometrics, 2009Peter A Henrys, Patrick Brown
exaly +2 more sources
Small-scale spatial structure of Baltic Sea zoobenthos—inferring processes from patterns
Journal of Experimental Marine Biology and Ecology, 2002In this study, we describe small-scale (6 cm–5 m) spatial patterns of four dominating infaunal taxa in the northern Baltic Sea, with the objective to construct hypotheses about pattern-generating processes. Two neighbouring sites, differing in their physical environment, were extensively sampled, and the distributions of adults and juveniles were ...
Ulf Bergström +2 more
openaire +1 more source
Extremes, 2021
Motivated by the Extreme Value Analysis 2021 (EVA 2021) data challenge, we propose a method based on statistics and machine learning for the spatial prediction of extreme wildfire frequencies and sizes.
D. Cisneros +4 more
semanticscholar +1 more source
Motivated by the Extreme Value Analysis 2021 (EVA 2021) data challenge, we propose a method based on statistics and machine learning for the spatial prediction of extreme wildfire frequencies and sizes.
D. Cisneros +4 more
semanticscholar +1 more source
Spatial Unit Roots and Spurious Regression
EconometricaThis paper proposes a model for, and investigates the consequences of, strong spatial dependence in economic variables. Our findings echo those of the corresponding “unit root” time series literature: Spatial unit root processes induce spuriously ...
Ulrich K. Müller, Mark W. Watson
semanticscholar +1 more source