Evaluation of empirical Bayesian kriging
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.100368
Bayesian modelling for spatially misaligned health and air pollution data through the INLA-SPDE approach
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.04.001
Stochastic investigation of long-term persistence in two-dimensional images of rocks
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2018.11.002
BWM-ARAS: A new hybrid MCDM method for Cu prospectivity mapping in the Abhar area, NW Iran
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.100382
Bayesian analysis of areal data with unknown adjacencies using the stochastic edge mixed effects model
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.100357
Isotropy, symmetry, separability and strict positive definiteness for covariance functions: A critical review
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2018.09.003
Handling missing data in self-exciting point process models
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2018.12.004
ELSA: Entropy-based local indicator of spatial association
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2018.10.001
Social Network Spatial Model.
来源期刊:Spatial statisticsDOI:10.1016/J.SPASTA.2018.11.001
A multivariate nonparametric scan statistic for spatial data
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2018.10.002
Functional SAR models: With application to spatial econometrics
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2018.12.002
Analysis of variance for spatially correlated functional data: Application to brain data
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.100381
A Bayesian multivariate functional model with spatially varying coefficient approach for modeling hurricane track data
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2018.12.006
A spatially varying change points model for monitoring glaucoma progression using visual field data.
来源期刊:Spatial statisticsDOI:10.1016/j.spasta.2019.02.001
Leverage and influence diagnostics for Gibbs spatial point processes
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2018.09.004
Using a spatial point process framework to characterize lung computed tomography scans.
来源期刊:Spatial statisticsDOI:10.1016/J.SPASTA.2018.12.003
Velocities for spatio-temporal point patterns
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2018.12.007
GMM estimation of partially linear single-index spatial autoregressive model
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.04.002
Some observations on a recently proposed cross-correlation model
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.03.003
Global multivariate point pattern models for rain type occurrence.
来源期刊:Spatial statisticsDOI:10.1016/J.SPASTA.2019.04.003
Design-based estimation of mark variograms in forest ecosystem surveys
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.02.002
Exploring geometric anisotropy for point-referenced spatial data
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.100370
A new centered spatio-temporal autologistic regression model with an application to local spread of plant diseases
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.100361
A diagonally weighted matrix norm between two covariance matrices
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.01.001
Parametric spatial covariance models in the ensemble Kalman filter
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2018.12.005
Simulation of decorrelated factors in presence of secondary data
来源期刊:spatial statisticsDOI:10.1016/j.spasta.2019.100385
On the correlation structure between point patterns and linear networks
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2018.12.001
A variational method for parameter estimation in a logistic spatial regression
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.100365
Multivariate control charts to monitor the monthly frequency of vehicle robberies in São Paulo city
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2018.09.002
Efficient Bayesian modeling of large lattice data using spectral properties of Laplacian matrix
来源期刊:spatial statisticsDOI:10.1016/J.SPASTA.2019.01.003