[HTML][HTML] Forecasting lattice and point spatial data: Comparison of unilateral and multilateral SAR models

C Grillenzoni - Forecasting, 2024 - mdpi.com
Spatial auto-regressive (SAR) models are widely used in geosciences for data analysis;
their main feature is the presence of weight (W) matrices, which define the neighboring …

Random dynamic analysis of wind-vehicle-bridge system based on armax surrogate model and high-order differencing

X Han, H Xiang, X Chen, J Zhu, Y Li - International Journal of …, 2023 - World Scientific
To investigate the stochastic characteristics of vehicle-bridge (VB) system under crosswind,
an efficient method which combines AutoRegressive Moving Average with eXogenous …

Model-Based and Model-Free point prediction algorithms for locally stationary random fields

S Das, Y Zhang, DN Politis - Applied Sciences, 2023 - mdpi.com
The Model-Free Prediction Principle has been successfully applied to general regression
problems, as well as problems involving stationary and locally stationary time series. In this …

Sample efficient nonparametric regression via low-rank regularization

J Jiang, J Peng, H Lian - Journal of Computational and Graphical …, 2024 - Taylor & Francis
Nonparametric regression suffers from curse of dimensionality, requiring a relatively large
sample size for accurate estimation beyond the univariate case. In this article, we consider a …

More Efficient Prediction for Ordinary Kriging to Solve a Problem in the Structure of Some Random Fields

MM Saber, RA Aldallal - Complexity, 2022 - Wiley Online Library
Recently, some specific random fields have been defined based on multivariate
distributions. This paper will show that almost all these random fields have a deficiency in …