Clustering the Nearest Neighbor Gaussian Process
Fuente:
arXiv
Saved in:
| Main Authors: | Crisp, Ashlynn, Taylor-Rodriguez, Daniel, Finley, Andrew O. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Clustering the Nearest Neighbor Gaussian Process
by: Ashlynn Crisp, et al.
Published: (2026)
by: Ashlynn Crisp, et al.
Published: (2026)
High-Dimensional Clustering via Nearest-Neighbor Asymmetry
by: Chen, Hao, et al.
Published: (2023)
by: Chen, Hao, et al.
Published: (2023)
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
by: May, Paul B., et al.
Published: (2025)
by: May, Paul B., et al.
Published: (2025)
Nearest Neighbor Dirichlet Mixtures
by: Chattopadhyay, Shounak, et al.
Published: (2020)
by: Chattopadhyay, Shounak, et al.
Published: (2020)
A Nonparametric Goodness-of-Fit Test for High-Dimensional Generalized Gaussian Distributions via Nearest-Neighbor Graphs
by: Çadırcı, Mehmet Sıddık, et al.
Published: (2026)
by: Çadırcı, Mehmet Sıddık, et al.
Published: (2026)
Adaptively-weighted Nearest Neighbors for Matrix Completion
by: Sadhukhan, Tathagata, et al.
Published: (2025)
by: Sadhukhan, Tathagata, et al.
Published: (2025)
Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space
by: Feitelberg, Jacob, et al.
Published: (2024)
by: Feitelberg, Jacob, et al.
Published: (2024)
Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
by: Peruzzi, Michele, et al.
Published: (2021)
by: Peruzzi, Michele, et al.
Published: (2021)
The Nearest-Neighbor Derivative Process: Modeling Spatial Rates of Change in Massive Datasets
by: Chen, Jiawen, et al.
Published: (2025)
by: Chen, Jiawen, et al.
Published: (2025)
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes
by: Zhu, Yichen, et al.
Published: (2022)
by: Zhu, Yichen, et al.
Published: (2022)
Calibrating satellite maps with field data for improved predictions of forest biomass
by: May, Paul B., et al.
Published: (2024)
by: May, Paul B., et al.
Published: (2024)
One-shot Conditional Sampling: MMD meets Nearest Neighbors
by: Chatterjee, Anirban, et al.
Published: (2025)
by: Chatterjee, Anirban, et al.
Published: (2025)
A method for empirically assessing small area estimators via bootstrap-weighted k-Nearest-Neighbor artificial populations, with applications to forest inventory
by: White, Grayson W., et al.
Published: (2023)
by: White, Grayson W., et al.
Published: (2023)
Two-Sided Nearest Neighbors: An adaptive and minimax optimal procedure for matrix completion
by: Sadhukhan, Tathagata, et al.
Published: (2024)
by: Sadhukhan, Tathagata, et al.
Published: (2024)
Bayesian Modeling of Incompatible Spatial Data: A Case Study Involving Post-Adrian Storm Forest Damage Assessment
by: Zhang, Lu, et al.
Published: (2023)
by: Zhang, Lu, et al.
Published: (2023)
$K$-Nearest-Neighbor Resampling for Off-Policy Evaluation in Stochastic Control
by: Giegrich, Michael, et al.
Published: (2023)
by: Giegrich, Michael, et al.
Published: (2023)
Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Nonstationary Gaussian Process Surrogates
by: Booth, Annie S., et al.
Published: (2023)
by: Booth, Annie S., et al.
Published: (2023)
Identifiability of the Multinomial Processing Tree-IRT model for the Philadelphia Naming Test
by: Womack, Andrew J., et al.
Published: (2023)
by: Womack, Andrew J., et al.
Published: (2023)
Clustering with Uniformity- and Neighbor-Based Random Geometric Graphs
by: Shi, Rui, et al.
Published: (2025)
by: Shi, Rui, et al.
Published: (2025)
The matryoshka doll prior: principled multiplicity correction in Bayesian model comparison
by: Womack, Andrew J, et al.
Published: (2015)
by: Womack, Andrew J, et al.
Published: (2015)
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)
Block-Additive Gaussian Processes under Monotonicity Constraints
by: Deronzier, M., et al.
Published: (2024)
by: Deronzier, M., et al.
Published: (2024)
Bayesian Multiplicity Correction in the Probabilistic Forward Stepwise Framework
by: Womack, Andrew, et al.
Published: (2026)
by: Womack, Andrew, et al.
Published: (2026)
Evaluating Informative Cluster Size in Cluster Randomized Trials
by: Blette, Bryan S., et al.
Published: (2025)
by: Blette, Bryan S., et al.
Published: (2025)
A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)
by: Chatterjee, Anirban, et al.
Published: (2024)
by: Chatterjee, Anirban, et al.
Published: (2024)
Deep Gaussian Processes with Gradients
by: Booth, Annie S.
Published: (2025)
by: Booth, Annie S.
Published: (2025)
Conditioning Gaussian Processes on Almost Anything
by: Moss, Henry, et al.
Published: (2026)
by: Moss, Henry, et al.
Published: (2026)
On Robust Clustering of Temporal Point Process
by: Zhang, Yuecheng, et al.
Published: (2024)
by: Zhang, Yuecheng, et al.
Published: (2024)
Variational Nearest Neighbor Gaussian Process
by: Wu, Luhuan, et al.
Published: (2022)
by: Wu, Luhuan, et al.
Published: (2022)
Bayesian Bridge Gaussian Process Regression
by: Xu, Minshen, et al.
Published: (2025)
by: Xu, Minshen, et al.
Published: (2025)
Robust and Conjugate Spatio-Temporal Gaussian Processes
by: Laplante, William, et al.
Published: (2025)
by: Laplante, William, et al.
Published: (2025)
Revisiting Penalized Likelihood Estimation for Gaussian Processes
by: Mutoh, Ayumi, et al.
Published: (2025)
by: Mutoh, Ayumi, et al.
Published: (2025)
Product Centered Dirichlet Processes for Bayesian Multiview Clustering
by: Dombowsky, Alexander, et al.
Published: (2023)
by: Dombowsky, Alexander, et al.
Published: (2023)
Scalable Gaussian Process Inference with Stan
by: Hoffmann, Till, et al.
Published: (2023)
by: Hoffmann, Till, et al.
Published: (2023)
Gaussian Process with dissolution spline kernel
by: Murphy, Fiona, et al.
Published: (2024)
by: Murphy, Fiona, et al.
Published: (2024)
Log-Gaussian Cox Processes on General Metric Graphs
by: Bolin, David, et al.
Published: (2025)
by: Bolin, David, et al.
Published: (2025)
Gaussian Process Assisted Active Learning of Physical Laws
by: Chen, Jiuhai, et al.
Published: (2019)
by: Chen, Jiuhai, et al.
Published: (2019)
Synthesizing Epileptic Seizures: Gaussian Processes for EEG Generation
by: Moutonnet, Nina, et al.
Published: (2026)
by: Moutonnet, Nina, et al.
Published: (2026)
Energetic Variational Gaussian Process Regression for Computer Experiments
by: Kang, Lulu, et al.
Published: (2023)
by: Kang, Lulu, et al.
Published: (2023)
Similar Items
-
Clustering the Nearest Neighbor Gaussian Process
by: Ashlynn Crisp, et al.
Published: (2026) -
High-Dimensional Clustering via Nearest-Neighbor Asymmetry
by: Chen, Hao, et al.
Published: (2023) -
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
by: May, Paul B., et al.
Published: (2025) -
Nearest Neighbor Dirichlet Mixtures
by: Chattopadhyay, Shounak, et al.
Published: (2020) -
A Nonparametric Goodness-of-Fit Test for High-Dimensional Generalized Gaussian Distributions via Nearest-Neighbor Graphs
by: Çadırcı, Mehmet Sıddık, et al.
Published: (2026)