Kriging for large datasets via penalized neighbor selection
Fuente:
arXiv
Saved in:
| Main Authors: | Cuevas-Pacheco, Francisco, Acosta, Jonathan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Active Learning via Heteroskedastic Rational Kriging
by: Wang, Shangkun, et al.
Published: (2025)
by: Wang, Shangkun, et al.
Published: (2025)
Rapid Approximation Prediction for Kriging
by: Li, Ziyu, et al.
Published: (2026)
by: Li, Ziyu, et al.
Published: (2026)
Regularized estimation for highly multivariate spatial Gaussian random fields
by: Cuevas-Pacheco, Francisco, et al.
Published: (2026)
by: Cuevas-Pacheco, Francisco, et al.
Published: (2026)
Multi-resolution filters via linear projection for large spatio-temporal datasets
by: Hirano, Toshihiro, et al.
Published: (2024)
by: Hirano, Toshihiro, et al.
Published: (2024)
Kriging via variably scaled kernels
by: Audone, Gianluca, et al.
Published: (2026)
by: Audone, Gianluca, et al.
Published: (2026)
Rational Kriging
by: Joseph, V. Roshan
Published: (2023)
by: Joseph, V. Roshan
Published: (2023)
DeepKriging on the global Data
by: Huang, Hao-Yun, et al.
Published: (2026)
by: Huang, Hao-Yun, et al.
Published: (2026)
Post-selection inference for penalized M-estimators via score thinning
by: Perry, Ronan, et al.
Published: (2026)
by: Perry, Ronan, et al.
Published: (2026)
Variable selection in frailty mixture cure models via penalized likelihood estimation
by: Tawiah, Richard, et al.
Published: (2025)
by: Tawiah, Richard, et al.
Published: (2025)
Propensity Patchwork Kriging for Scalable Inference on Heterogeneous Treatment Effects
by: Ogawa, Hajime, et al.
Published: (2025)
by: Ogawa, Hajime, et al.
Published: (2025)
Sequential Experimental Designs for Kriging Model
by: Zheng, Ruonan, et al.
Published: (2026)
by: Zheng, Ruonan, et al.
Published: (2026)
Fixed Rank co-Kriging: a model for multivariate spatial prediction
by: Caringi, Gaia, et al.
Published: (2026)
by: Caringi, Gaia, et al.
Published: (2026)
Valid post-selection inference for penalized G-estimation
by: Jaman, Ajmery, et al.
Published: (2025)
by: Jaman, Ajmery, et al.
Published: (2025)
Composite likelihood inference for space-time point processes
by: Jalilian, Abdollah, et al.
Published: (2024)
by: Jalilian, Abdollah, et al.
Published: (2024)
Variational approximate penalized credible regions for Bayesian grouped regression
by: Yu, Weichang, et al.
Published: (2026)
by: Yu, Weichang, et al.
Published: (2026)
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective
by: Liu, Zhexuan, et al.
Published: (2024)
by: Liu, Zhexuan, et al.
Published: (2024)
Bayesian variable selection in sample selection models using spike-and-slab priors
by: Iqbal, Adam J., et al.
Published: (2023)
by: Iqbal, Adam J., et al.
Published: (2023)
Efficient Amortized Bayesian Inference for Markov Random Fields via Gradient-Informed Grid Selection
by: Bazahica, Laura, et al.
Published: (2026)
by: Bazahica, Laura, et al.
Published: (2026)
Efficient smoothness selection for nonparametric Markov-switching models via quasi restricted maximum likelihood
by: Koslik, Jan-Ole
Published: (2024)
by: Koslik, Jan-Ole
Published: (2024)
To MCMC or not to MCMC: Evaluating non-MCMC methods for Bayesian penalized regression
by: van Leeuwen, Florian D., et al.
Published: (2025)
by: van Leeuwen, Florian D., et al.
Published: (2025)
Hierarchical Bayesian data selection
by: Cotter, Simon L.
Published: (2022)
by: Cotter, Simon L.
Published: (2022)
Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier
by: Quintero-Rincón, Antonio, et al.
Published: (2024)
by: Quintero-Rincón, Antonio, et al.
Published: (2024)
penalizedclr: an R package for penalized conditional logistic regression for integration of multiple omics layers
by: Djordjilović, Vera, et al.
Published: (2024)
by: Djordjilović, Vera, et al.
Published: (2024)
Efficient computation of high-dimensional penalized piecewise constant hazard random effects models
by: Heiling, Hillary M., et al.
Published: (2025)
by: Heiling, Hillary M., et al.
Published: (2025)
Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
by: Miah, Kaya, et al.
Published: (2024)
by: Miah, Kaya, et al.
Published: (2024)
Efficient estimation and correction of selection-induced bias with order statistics
by: McLatchie, Yann, et al.
Published: (2023)
by: McLatchie, Yann, et al.
Published: (2023)
A comparative study of augmented inverse propensity weighted estimators using outcome-oriented covariate selection via penalization with outcome-adaptive lasso
by: Hongo, Wataru, et al.
Published: (2024)
by: Hongo, Wataru, 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)
by: Shin, Yire, et al.
Published: (2026)
Bayesian analysis of flexible Heckman selection models using Hamiltonian Monte Carlo
by: Lim, Heeju, et al.
Published: (2025)
by: Lim, Heeju, et al.
Published: (2025)
A Beta Cauchy-Cauchy (BECCA) shrinkage prior for Bayesian variable selection
by: Rodrigo, Linduni M., et al.
Published: (2025)
by: Rodrigo, Linduni M., et al.
Published: (2025)
BRBVS: An R Package for Bivariate Variable selection in Copula Survival Model(s) domain
by: Petti, Danilo, et al.
Published: (2025)
by: Petti, Danilo, et al.
Published: (2025)
Scalable likelihood-based estimation and variable selection for the Cox model with incomplete covariates
by: Kwok, Ngok Sang, et al.
Published: (2024)
by: Kwok, Ngok Sang, et al.
Published: (2024)
A Bayesian time-varying random partition model for large spatio-temporal datasets
by: Beltramin, Giulio, et al.
Published: (2023)
by: Beltramin, Giulio, et al.
Published: (2023)
Flexible cost-penalized Bayesian model selection: developing inclusion paths with an application to diagnosis of heart disease
by: Porter, Erica M., et al.
Published: (2023)
by: Porter, Erica M., et al.
Published: (2023)
Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion
by: Dia, Ben Mansour, et al.
Published: (2024)
by: Dia, Ben Mansour, et al.
Published: (2024)
Adaptive greedy forward variable selection for linear regression models with incomplete data using multiple imputation
by: Lee, Yong-Shiuan
Published: (2022)
by: Lee, Yong-Shiuan
Published: (2022)
Effective experience rating for large insurance portfolios via surrogate modeling
by: Calcetero-Vanegas, Sebastian, et al.
Published: (2022)
by: Calcetero-Vanegas, Sebastian, et al.
Published: (2022)
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
by: Hansen, Blake, et al.
Published: (2023)
by: Hansen, Blake, et al.
Published: (2023)
Fused $L_{1/2}$ prior for large scale linear inverse problem with Gibbs bouncy particle sampler
by: Ke, Xiongwen, et al.
Published: (2024)
by: Ke, Xiongwen, et al.
Published: (2024)
Explaining and Connecting Kriging with Gaussian Process Regression
by: Marinescu, Marius
Published: (2024)
by: Marinescu, Marius
Published: (2024)
Similar Items
-
Active Learning via Heteroskedastic Rational Kriging
by: Wang, Shangkun, et al.
Published: (2025) -
Rapid Approximation Prediction for Kriging
by: Li, Ziyu, et al.
Published: (2026) -
Regularized estimation for highly multivariate spatial Gaussian random fields
by: Cuevas-Pacheco, Francisco, et al.
Published: (2026) -
Multi-resolution filters via linear projection for large spatio-temporal datasets
by: Hirano, Toshihiro, et al.
Published: (2024) -
Kriging via variably scaled kernels
by: Audone, Gianluca, et al.
Published: (2026)