Cover Image

On the construction of stationary processes and random fields

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Lee, Jeonghwa
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fractional binomial regression model for count data with excess zeros
by: Lee, Jeonghwa, et al.
Published: (2024)

Spectral estimation for spatial point processes and random fields
by: Grainger, Jake P., et al.
Published: (2023)

On the peak height distribution of non-stationary Gaussian random fields: 1D general covariance and scale space
by: Zhao, Yu, et al.
Published: (2025)

Validating spatial-temporal separability for stationary processes
by: Bai, Lujia, et al.
Published: (2026)

Properties of stationary cyclical processes
by: Lenart, Łukasz
Published: (2024)

A new class of non-stationary Gaussian fields with general smoothness on metric graphs
by: Bolin, David, et al.
Published: (2025)

Logistic-beta processes for dependent random probabilities with beta marginals
by: Lee, Changwoo J., et al.
Published: (2024)

Hierarchical Bayesian spectral analysis of multiple stationary time series
by: Lee, Rebecca, et al.
Published: (2025)

Nonparametric intensity estimation of spatial point processes by random forests
by: Biscio, Christophe, et al.
Published: (2025)

Parametric or nonparametric: the FIC approach for stationary time series
by: Hermansen, Gudmund, et al.
Published: (2026)

Non-stationary Spatial Modeling Using Fractional SPDEs
by: Svee, Elling, et al.
Published: (2025)

Pivotal inference for linear predictions in stationary processes
by: Dette, Holger, et al.
Published: (2025)

On an $L^2$ norm for stationary ARMA processes
by: Ganesh, Anand, et al.
Published: (2024)

Detecting changes in the mean of spatial random fields on a regular grid
by: Görz, Sheila T., et al.
Published: (2025)

Non-stationary max-stable models with an application to heavy rainfall data
by: Forster, Carolin, et al.
Published: (2022)

Information matrix test for normality of innovations in stationary time series models
by: Liu, Zixuan, et al.
Published: (2024)

On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary errors
by: Sousa, Alex Rodrigo dos S., et al.
Published: (2024)

Regularized estimation for highly multivariate spatial Gaussian random fields
by: Cuevas-Pacheco, Francisco, et al.
Published: (2026)

Non-stationary Spatio-Temporal Modeling Using the Stochastic Advection-Diffusion Equation
by: Berild, Martin Outzen, et al.
Published: (2024)

Complex trend inference for high-dimensional piecewise locally stationary time series
by: Bai, Lujia, et al.
Published: (2024)

A spatial random forest algorithm for population-level epidemiological risk assessment
by: Lee, Duncan, et al.
Published: (2026)

Profile monitoring of random functions with Gaussian process basis expansions
by: Iguchi, Takayuki, et al.
Published: (2025)

Irregularly and incompletely sampled random fields in the Earth sciences: Analysis and synthesis of parameterized covariance models
by: Walbert, Olivia L., et al.
Published: (2026)

Finding network effect of randomized treatment under weak assumptions for any outcome and any effect heterogeneity
by: Lee, Myoung-jae
Published: (2025)

Missing data in non-stationary multivariate time series from digital studies in Psychiatry
by: Cai, Xiaoxuan, et al.
Published: (2025)

Adaptive Estimation for Non-stationary Factor Models And A Test for Static Factor Loadings
by: Wu, Weichi, et al.
Published: (2020)

Calibrated Bayesian inference for random fields on large irregular domains using the debiased spatial Whittle likelihood
by: Goodwin, Thomas, et al.
Published: (2025)

Robust propensity score weighting estimation under missing at random
by: Wang, Hengfang, et al.
Published: (2023)

The construction of augmented designs in square arrays
by: Williams, E. R., et al.
Published: (2025)

Computationally efficient segmentation for non-stationary time series with oscillatory patterns
by: Bianco, Nicolas, et al.
Published: (2026)

Detecting Cointegrating Relations in Non-stationary Matrix-Valued Time Series
by: Hecq, Alain, et al.
Published: (2024)

Scalable generative modeling of non-Gaussian spatio-temporal fields via autoregressive Gaussian processes
by: Lei-Cramer, Carrie J., et al.
Published: (2026)

Random spanning tree Markov random field priors for Bayesian inverse problems in imaging
by: Everink, Jasper Marijn
Published: (2026)

A Bayesian nonlinear stationary model with multiple frequencies for business cycle analysis
by: Lenart, Łukasz, et al.
Published: (2024)

Automated selection of r for stationary and nonstationary models for r largest order statistics
by: Shin, Yire, et al.
Published: (2026)

Robust and efficient estimation in the presence of a randomly censored covariate
by: Lee, Seong-ho, et al.
Published: (2024)

How should parallel cluster randomized trials with a baseline period be analyzed? A survey of estimands and common estimators
by: Lee, Kenneth Menglin, et al.
Published: (2024)

Imputation-based randomization tests for randomized experiments with interference
by: Han, Tingxuan, et al.
Published: (2024)

Scalable solution to crossed random effects model with random slopes
by: Ghandwani, Disha, et al.
Published: (2023)

A comparison of the Alkire-Foster method and a Markov random field approach in the analysis of multidimensional poverty
by: Lam, Joseph
Published: (2025)