Covariate-dependent spatio-temporal covariance models

2024-10-1

Spatio-temporal Clustering using Generalized Lasso to Identify the Spread of Covid-19 in Indonesia according to Provincial Flight Route-based Connections

2024-9-1

Nonparametric isotropy test for spatial point processes using random rotations

2024-9-1

Automatic cross-validation in structured models: Is it time to leave out leave-one-out?

2024-8-1

Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model

2024-8-1

SELF-CORRELATED SPATIAL RANDOM VARIABLES: FROM AN AUTO- TO A SUI- MODEL RESPECIFICATION

2024-8-1

Spatial statistics: Climate and the environment

2024-8-1

The SPDE approach for spatio-temporal datasets with advection and diffusion

2024-8-1

Spatiotemporal factor models for functional data with application to population map forecast

2024-7-1

Spatio-temporal ecological models via physics-informed neural networks for studying chronic wasting disease

2024-7-1

Neural likelihood surfaces for spatial processes with computationally intensive or intractable likelihoods

2024-7-1

Analysis of the spatial distribution and future trends of coal mine accidents: A case study of coal mine accidents in China from 2005-2022

2024-7-1

Enhancing bivariate spatial association analysis of network-constrained geographical flows: an incremental scale-based method

2024-7-1

The circular Matérn covariance function and its link to Markov random fields on the circle

2024-6-5

Flexible basis representations for modeling large non-Gaussian spatial data

2024-6-1

Dimension reduction for spatial regression: Spatial predictor envelope

2024-6-1

Probabilistic Context Neighborhood model for lattices

2024-6-1

Summary statistics for spatio-temporal point processes on linear networks

2024-6-1

Variable selection methods for Log-Gaussian Cox processes: A case-study on accident data

2024-6-1

Analytical Simulation Methodology for Nonlinear Spatiotemporal Models: Spatial Salience in Covid-19 Contagion

2024-6-1

Searching for correct specification in spatial probit models. Classical approaches versus Gradient Boosting algorithm

2024-6-1

Integrated deviance information criterion for spatial autoregressive models with heteroskedasticity

2024-6-1

A hypothesis test for detecting spatial patterns in categorical areal data

2024-5-1

A nonparametric penalized likelihood approach to density estimation of space-time point patterns

2024-4-18

Spatial Functional Data analysis: Irregular spacing and Bernstein polynomials

2024-4-1

Mapping using an adaptive sampling design

2024-4-1

Optimal prediction of positive-valued spatial processes: Asymmetric power-divergence loss

2024-4-1

Space, Uncertainty, and the Environment: Honoring the Distinguished Career of Noel Cressie

2024-4-1

Regime-based precipitation modeling: A spatio-temporal approach

2024-4-1

Incremental transfer learning for spatial autoregressive model with linear constraints

2024-4-1

Exploring heterogeneity and dynamics of meteorological influences on US PM2.5: A distributed learning approach with spatiotemporal varying coefficient models

2024-4-1

Bayesian spatio-temporal statistical modeling of violent-related fatality in western and central Africa

2024-4-1

Spatial Smoothing Using Graph Laplacian Penalized Filter

2024-4-1

Profile likelihoods for parameters in trans-Gaussian geostatistical models

2024-4-1

A multivariate spatial and spatiotemporal ARCH Model

2024-4-1

Spatial Bayesian neural networks

2024-4-1

Rapid outlier detection, model selection and variable selection using penalized likelihood estimation for general spatial models

2024-4-1

Echo state network-enhanced symbolic regression for spatio-temporal binary stochastic cellular automata

2024-4-1

Copula-Based Data-Driven Multiple-Point Simulation Method

2024-3-1

A flexible likelihood-based neural network extension of the classic spatio-temporal model

2024-3-1

Graph convolutional networks for spatial interpolation of correlated data

2024-3-1

Modeling lake conductivity in the contiguous United States using spatial indexing for big spatial data

2024-3-1

Locally adaptive spatial quantile smoothing: Application to monitoring crime density in Tokyo

2024-3-1

Deep graphical regression for jointly moderate and extreme Australian wildfires

2024-3-1

A comparison of model validation approaches for echo state networks using climate model replicates

2024-3-1

A criterion and incremental design construction for simultaneous kriging predictions

2024-3-1

Using spatial ordinal patterns for non-parametric testing of spatial dependence

2024-3-1

Geostatistical capture–recapture models

2024-3-1

Data-driven modeling of wildfire spread with stochastic cellular automata and latent spatio-temporal dynamics

2024-3-1

Robust second-order stationary spatial blind source separation using generalized sign matrices

2024-3-1