Neural Networks for Parameter Estimation in Geometrically Anisotropic Geostatistical Models
Fuente:
arXiv
Saved in:
| Main Authors: | Villazón, Alejandro, Alegría, Alfredo, Emery, Xavier |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study
by: Alegría, Alfredo
Published: (2024)
by: Alegría, Alfredo
Published: (2024)
Uncertainty-Aware Neural Multivariate Geostatistics
by: Jeon, Yeseul, et al.
Published: (2026)
by: Jeon, Yeseul, et al.
Published: (2026)
The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics
by: Wakefield, Jon, et al.
Published: (2021)
by: Wakefield, Jon, et al.
Published: (2021)
Geostatistical capture-recapture models
by: Hooten, Mevin B, et al.
Published: (2023)
by: Hooten, Mevin B, et al.
Published: (2023)
Accounting for Multiple Covariates in Non-Stationary Geostatistical Modelling
by: Johnson, Olatunji, et al.
Published: (2024)
by: Johnson, Olatunji, et al.
Published: (2024)
Neural Networks for Parameter Estimation of the Discretely Observed Hawkes Process
by: Lambe, Jason J., et al.
Published: (2025)
by: Lambe, Jason J., et al.
Published: (2025)
Matern and Generalized Wendland correlation models that parameterize hole effect, smoothness, and support
by: Emery, Xavier, et al.
Published: (2024)
by: Emery, Xavier, et al.
Published: (2024)
Stochastic Gradient MCMC for Massive Geostatistical Data
by: Abba, Mohamed A., et al.
Published: (2024)
by: Abba, Mohamed A., et al.
Published: (2024)
Parsimonious Compactly Supported Covariance Models in the Gauss Hypergeometric Class: Identifiability, Reparameterizations, and Asymptotic Properties
by: Bevilacqua, Moreno, et al.
Published: (2025)
by: Bevilacqua, Moreno, et al.
Published: (2025)
Bayesian Geostatistics Using Predictive Stacking
by: Zhang, Lu, et al.
Published: (2023)
by: Zhang, Lu, et al.
Published: (2023)
The Poisson-Gaussian Mixture Process: A Flexible and Robust Approach for Non-Gaussian Geostatistical Modeling
by: Gonçalves, F. B., et al.
Published: (2022)
by: Gonçalves, F. B., et al.
Published: (2022)
Geostatistics in the presence of multivariate complexities: comparison of multi-Gaussian transforms
by: Abulkhair, Sultan, et al.
Published: (2022)
by: Abulkhair, Sultan, et al.
Published: (2022)
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)
Decoupling Distance and Networks: Hybrid Graph Attention-Geostatistical Methods for Spatio-temporal Risk Mapping
by: Bamidele, Toba Temitope, et al.
Published: (2026)
by: Bamidele, Toba Temitope, et al.
Published: (2026)
On Ignorability of Preferential Sampling in Geostatistics
by: Lu, Changqing, et al.
Published: (2025)
by: Lu, Changqing, et al.
Published: (2025)
Mapping Urban Air Quality from Mobile Sensors Using Spatio-Temporal Geostatistics
by: Idir, Yacine Mohamed, et al.
Published: (2025)
by: Idir, Yacine Mohamed, et al.
Published: (2025)
Neural Parameter Estimation with Incomplete Data
by: Sainsbury-Dale, Matthew, et al.
Published: (2025)
by: Sainsbury-Dale, Matthew, et al.
Published: (2025)
Effective Sample Size for Functional Spatial Data
by: Alegría, Alfredo, et al.
Published: (2026)
by: Alegría, Alfredo, et al.
Published: (2026)
Regularized Parameter Estimation in Mixed Model Trace Regression
by: Hultman, Ian, et al.
Published: (2025)
by: Hultman, Ian, et al.
Published: (2025)
Evaluating Parameter Uncertainty in the Poisson Lognormal Model with Corrected Variational Estimators
by: Batardière, Bastien, et al.
Published: (2024)
by: Batardière, Bastien, et al.
Published: (2024)
Parameter Estimation and Inference in a Continuous Piecewise Linear Regression Model
by: Hahn, Georg, et al.
Published: (2025)
by: Hahn, Georg, et al.
Published: (2025)
Deep Neural Networks Guided Ensemble Learning for Point Estimation
by: Zhan, Tianyu, et al.
Published: (2021)
by: Zhan, Tianyu, et al.
Published: (2021)
Neural Posterior Estimation for Stochastic Epidemic Modeling
by: Chatha, Prayag, et al.
Published: (2024)
by: Chatha, Prayag, et al.
Published: (2024)
The Effective Number of Parameters in Kernel Density Estimation
by: Guglielmini, Sofia, et al.
Published: (2024)
by: Guglielmini, Sofia, et al.
Published: (2024)
Unbiased Parameter Estimation for Bayesian Inverse Problems
by: Chada, Neil K., et al.
Published: (2025)
by: Chada, Neil K., et al.
Published: (2025)
Efficient and Model-Agnostic Parameter Estimation Under Privacy-Preserving Post-randomization Data
by: Tian, Qinglong, et al.
Published: (2024)
by: Tian, Qinglong, et al.
Published: (2024)
Parameter Estimation of State Space Models Using Particle Importance Sampling
by: Gao, Yuxiong, et al.
Published: (2025)
by: Gao, Yuxiong, et al.
Published: (2025)
Causal Estimation of Exposure Shifts with Neural Networks
by: Tec, Mauricio, et al.
Published: (2023)
by: Tec, Mauricio, et al.
Published: (2023)
Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees
by: Lin, Jiahe, et al.
Published: (2025)
by: Lin, Jiahe, et al.
Published: (2025)
On the Estimation of Anisotropic Covariance Functions on Compact Two-Point Homogeneous Spaces
by: Caponera, Alessia
Published: (2025)
by: Caponera, Alessia
Published: (2025)
A New and Efficient Debiased Estimation of General Treatment Models by Balanced Neural Networks Weighting
by: Wu, Zeqi, et al.
Published: (2025)
by: Wu, Zeqi, et al.
Published: (2025)
Amortized Phylodynamic Inference with Neural Bayes Estimators and Recursive Neural Networks
by: Zarebski, Alexander E., et al.
Published: (2026)
by: Zarebski, Alexander E., et al.
Published: (2026)
Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models
by: Davezies, Laurent, et al.
Published: (2021)
by: Davezies, Laurent, et al.
Published: (2021)
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
by: Sainsbury-Dale, Matthew, et al.
Published: (2023)
by: Sainsbury-Dale, Matthew, et al.
Published: (2023)
Geometric Model Selection for Latent Space Network Models: Hypothesis Testing via Multidimensional Scaling and Resampling Techniques
by: Wang, Jieyun, et al.
Published: (2025)
by: Wang, Jieyun, et al.
Published: (2025)
Bridging Item Response Theory and Factor Analysis: A Four-Parameter Mixture-Dichotomized Model with Bayesian Estimation
by: Pavlech, Ján, et al.
Published: (2024)
by: Pavlech, Ján, et al.
Published: (2024)
A Bayes Factor Framework for Unified Parameter Estimation and Hypothesis Testing
by: Pawel, Samuel
Published: (2024)
by: Pawel, Samuel
Published: (2024)
Conic Sparsity: Estimation of Regression Parameters in Closed Convex Polyhedral Cones
by: Agarwala, Neha, et al.
Published: (2023)
by: Agarwala, Neha, et al.
Published: (2023)
Parameter Estimation for Partially Observed Stable Continuous-State Branching Processes
by: Gutiérrez-Peña, Eduardo, et al.
Published: (2025)
by: Gutiérrez-Peña, Eduardo, et al.
Published: (2025)
Targeted Parameter Estimation for Robust Empirical Bayes Ranking
by: Henderson, Nicholas C., et al.
Published: (2025)
by: Henderson, Nicholas C., et al.
Published: (2025)
Similar Items
-
Assessing the Impact of Block Size on Block Likelihood Estimation: A Comparative Study
by: Alegría, Alfredo
Published: (2024) -
Uncertainty-Aware Neural Multivariate Geostatistics
by: Jeon, Yeseul, et al.
Published: (2026) -
The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics
by: Wakefield, Jon, et al.
Published: (2021) -
Geostatistical capture-recapture models
by: Hooten, Mevin B, et al.
Published: (2023) -
Accounting for Multiple Covariates in Non-Stationary Geostatistical Modelling
by: Johnson, Olatunji, et al.
Published: (2024)