A semiparametric autorregresive spatial prediction model
Fuente:
arXiv
Saved in:
| Main Authors: | Arancibia, Rodrigo García, Llop, Pamela, Lovatto, Mariel |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sufficient dimension reduction for regression with spatially correlated errors: application to prediction
by: Forzani, Liliana, et al.
Published: (2025)
by: Forzani, Liliana, et al.
Published: (2025)
Simultaneous semiparametric inference for single-index models
by: Tang, Jiajun, et al.
Published: (2024)
by: Tang, Jiajun, et al.
Published: (2024)
Inference in semiparametric formation models for directed networks
by: Qu, Lianqiang, et al.
Published: (2024)
by: Qu, Lianqiang, et al.
Published: (2024)
Optimization-centric cutting feedback for semiparametric models
by: Tan, Linda S. L., et al.
Published: (2025)
by: Tan, Linda S. L., et al.
Published: (2025)
Valid model-free spatial prediction
by: Mao, Huiying, et al.
Published: (2020)
by: Mao, Huiying, et al.
Published: (2020)
The CATT SATT on the MATT: semiparametric inference for sample treatment effects on the treated
by: Yiu, Andrew
Published: (2024)
by: Yiu, Andrew
Published: (2024)
Efficient estimation and data fusion under general semiparametric restrictions on outcome mean functions
by: Li, Harrison H.
Published: (2024)
by: Li, Harrison H.
Published: (2024)
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity
by: Liu, Lin, et al.
Published: (2023)
by: Liu, Lin, et al.
Published: (2023)
Estimating the Partially Linear Zero-Inflated Poisson Regression Model: a Robust Approach Using a EM-like Algorithm
by: Llop, María José, et al.
Published: (2026)
by: Llop, María José, et al.
Published: (2026)
Efficient estimation of parameters in marginals in semiparametric multivariate models
by: Medovikov, Ivan, et al.
Published: (2024)
by: Medovikov, Ivan, et al.
Published: (2024)
Modeling group heterogeneity in spatio-temporal data via physics-informed semiparametric regression
by: De Sanctis, Marco F., et al.
Published: (2025)
by: De Sanctis, Marco F., et al.
Published: (2025)
Monte Carlo inference for semiparametric Bayesian regression
by: Kowal, Daniel R., et al.
Published: (2023)
by: Kowal, Daniel R., et al.
Published: (2023)
A multivariate spatial regression model using signatures
by: Frévent, Camille, et al.
Published: (2024)
by: Frévent, Camille, et al.
Published: (2024)
Posterior inference via Hill's prediction model
by: Bissiri, Pier Giovanni, et al.
Published: (2026)
by: Bissiri, Pier Giovanni, et al.
Published: (2026)
Bayesian calculus and predictive characterizations of extended feature allocation models
by: Beraha, Mario, et al.
Published: (2025)
by: Beraha, Mario, et al.
Published: (2025)
On MCMC mixing for predictive inference under unidentified transformation models
by: Zhong, Chong, et al.
Published: (2024)
by: Zhong, Chong, et al.
Published: (2024)
Fourier analysis of spatial point processes
by: Yang, Junho, et al.
Published: (2024)
by: Yang, Junho, et al.
Published: (2024)
Validating spatial-temporal separability for stationary processes
by: Bai, Lujia, et al.
Published: (2026)
by: Bai, Lujia, et al.
Published: (2026)
On minimum contrast method for multivariate spatial point processes
by: Zhu, Lin, et al.
Published: (2022)
by: Zhu, Lin, et al.
Published: (2022)
On the modelling and prediction of high-dimensional functional time series
by: Chang, Jinyuan, et al.
Published: (2024)
by: Chang, Jinyuan, et al.
Published: (2024)
Fast localization of anomalous patches in spatial data under dependence
by: Bonnerjee, Soham, et al.
Published: (2026)
by: Bonnerjee, Soham, et al.
Published: (2026)
Series ridge regression for spatial data on $\mathbb{R}^d$
by: Kurisu, Daisuke, et al.
Published: (2024)
by: Kurisu, Daisuke, et al.
Published: (2024)
Asymptotics of predictive distributions driven by sample means and variances
by: Garelli, Samuele, et al.
Published: (2024)
by: Garelli, Samuele, et al.
Published: (2024)
Maximum-likelihood estimation of the Matérn covariance structure of isotropic spatial random fields on finite, sampled grids
by: Simons, Frederik J., et al.
Published: (2025)
by: Simons, Frederik J., et al.
Published: (2025)
Comparing two spatial variables with the probability of agreement
by: Acosta, Jonathan, et al.
Published: (2022)
by: Acosta, Jonathan, et al.
Published: (2022)
Post-reduction inference for confidence sets of models
by: Battey, Heather, et al.
Published: (2025)
by: Battey, Heather, et al.
Published: (2025)
Anytime valid and asymptotically optimal inference driven by predictive recursion
by: Dixit, Vaidehi, et al.
Published: (2023)
by: Dixit, Vaidehi, et al.
Published: (2023)
Cumulant-based approximation for fast and efficient prediction for species distribution
by: Komori, Osamu, et al.
Published: (2024)
by: Komori, Osamu, et al.
Published: (2024)
Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection
by: Lacroix, Perrine, et al.
Published: (2023)
by: Lacroix, Perrine, et al.
Published: (2023)
Data integration of non-probability and probability samples with predictive mean matching
by: Chlebicki, Piotr, et al.
Published: (2024)
by: Chlebicki, Piotr, et al.
Published: (2024)
Uncertainty of high-dimensional genetic data prediction with polygenic risk scores
by: Fu, Haoxuan, et al.
Published: (2024)
by: Fu, Haoxuan, et al.
Published: (2024)
Weak convergence of predictive distributions
by: Leisen, Fabrizio, et al.
Published: (2025)
by: Leisen, Fabrizio, et al.
Published: (2025)
Impact of existence and nonexistence of pivot on the coverage of empirical best linear prediction intervals for small areas
by: Chen, Yuting, et al.
Published: (2024)
by: Chen, Yuting, et al.
Published: (2024)
A new over-dispersed count model
by: Nandi, Anupama, et al.
Published: (2023)
by: Nandi, Anupama, et al.
Published: (2023)
A model-based approach for clustering binned data
by: Martínez, Asael Fabian, et al.
Published: (2024)
by: Martínez, Asael Fabian, et al.
Published: (2024)
Lévy graphical models
by: Engelke, Sebastian, et al.
Published: (2024)
by: Engelke, Sebastian, et al.
Published: (2024)
A unified analysis of likelihood-based estimators in the Plackett--Luce model
by: Han, Ruijian, et al.
Published: (2023)
by: Han, Ruijian, et al.
Published: (2023)
A Bayesian framework with adaptive elastic nets for the inference of Gaussian graphical models
by: Sogan, Roland B., et al.
Published: (2026)
by: Sogan, Roland B., et al.
Published: (2026)
Induced replication and the assessment of models
by: Battey, Heather, et al.
Published: (2026)
by: Battey, Heather, et al.
Published: (2026)
Synthetic likelihood in misspecified models
by: Frazier, David T., et al.
Published: (2021)
by: Frazier, David T., et al.
Published: (2021)
Similar Items
-
Sufficient dimension reduction for regression with spatially correlated errors: application to prediction
by: Forzani, Liliana, et al.
Published: (2025) -
Simultaneous semiparametric inference for single-index models
by: Tang, Jiajun, et al.
Published: (2024) -
Inference in semiparametric formation models for directed networks
by: Qu, Lianqiang, et al.
Published: (2024) -
Optimization-centric cutting feedback for semiparametric models
by: Tan, Linda S. L., et al.
Published: (2025) -
Valid model-free spatial prediction
by: Mao, Huiying, et al.
Published: (2020)