Mathematics, 2023 Geostatistics data in regions always have highly spatial heterogeneous, yet the regional features of the data itself cannot be ignored. In this paper, a novel latent Bayesian spatial model is proposed, which incorporates the spatial dependence of ...
Zongyuan Xia +4 more
doaj +1 more source
مدلبندی دادههای فضایی-زمانی با گمشدگی غیرقابل چشم پوشی [PDF]
مدلسازی پیشرفته ریاضی, 2020 غلب دادههای فضایی و فضایی-زمانی به واسطه شرایطی که تحت آن اندازهگیریها صورت میگیرد حاوی مقادیر گمشده هستند. مقادیر گمشدهای که در فواصل مکانی یا زمانی نزدیکتر نسبت به مشاهدات قرار دارند شامل اطلاعات مفیدی هستند که درنظر گرفتن آنها میتواند منجر به ...
محسن محمدزاده +1 more
doaj +1 more source
Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach
Spatial Statistics, 2023 This paper proposes a two-stage estimation approach for a spatial misalignment scenario that is motivated by the epidemiological problem of linking pollutant exposures and health outcomes. We use the integrated nested Laplace approximation method to estimate the parameters of a two-stage spatio-temporal model — the first stage models the exposures ...
Stephen Jun Villejo +2 more
openaire +4 more sources
Interpolating climate variables by using INLA and the SPDE approach [PDF]
, 2023 Gridded observational products of the main climate parameters are essential in climate science. Current interpolation approaches, implemented to derive such products, often lack of a proper uncertainty propagation and representation.
Cameletti, Michela +3 more
core +4 more sources
Incorporating Biotic Information in Species Distribution Models: A Coregionalized Approach
Mathematics, 2021 In this work, we discuss the use of a methodological approach for modelling spatial relationships among species by means of a Bayesian spatial coregionalized model.
Xavier Barber +5 more
doaj +1 more source
Spatiotemporal modeling of traffic risk mapping: A study of urban road networks in Barcelona, Spain [PDF]
, 2022 Accidents on the road have always been a major concern in modern society. According to the World Health Organization, globally road traffic collisions are one of the leading and fastest growing causes of disability and death. The present research work is
Chaudhuri, Somnath +3 more
core +1 more source
Hierarchical spatial modeling of the presence of Chagas disease insect vectors in Argentina. A comparative approach [PDF]
, 2016 We modeled the spatial distribution of the most important Chagas disease vectors in Argentina, in order to obtain a predictive mapping method for the probability of presence of the vector species.
Díaz-Avalos, Carlos +3 more
core +1 more source
Methods in Ecology and Evolution, 2023 Step selection analysis (SSA) is a common framework for understanding animal movement and resource selection using telemetry data. Such data are, however, inherently autocorrelated in space, a complication that could impact SSA‐based inference if left ...
Rafael Arce Guillen +5 more
doaj +1 more source
Computer model calibration with large non-stationary spatial outputs: application to the calibration of a climate model [PDF]
, 2018 Bayesian calibration of computer models tunes unknown input parameters by comparing outputs with observations. For model outputs that are distributed over space, this becomes computationally expensive because of the output size.
Alexander M. J. +6 more
core +2 more sources
Estimating the Expected Value of Partial Perfect Information in Health Economic Evaluations using Integrated Nested Laplace Approximation [PDF]
, 2016 The Expected Value of Perfect Partial Information (EVPPI) is a decision-theoretic measure of the "cost" of parametric uncertainty in decision making used principally in health economic decision making.
Baio G +8 more
core +2 more sources