Cover Image

Asymptotic properties of Vecchia approximation for Gaussian processes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Myeongjong, Schäfer, Florian, Guinness, Joseph, Katzfuss, Matthias
Format:	Preprint
Published:	2024
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Vecchia Gaussian Processes: on probabilistic and statistical properties
by: Szabo, Botond, et al.
Published: (2024)

Asymptotics of higher criticism via Gaussian approximation
by: Qiu, Jingkun
Published: (2025)

Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks
by: Jimenez, Felix, et al.
Published: (2023)

Linear-Cost Vecchia Approximation of Multivariate Normal Probabilities
by: Cao, Jian, et al.
Published: (2023)

Contraction rates for sparse variational approximations in Gaussian process regression
by: Nieman, Dennis, et al.
Published: (2021)

Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs
by: Reding, Lucas, et al.
Published: (2024)

Asymptotic properties of maximum likelihood estimators for determinantal point processes
by: Hu, Yaozhong, et al.
Published: (2023)

Sparse inverse Cholesky factorization of dense kernel matrices by greedy conditional selection
by: Huan, Stephen, et al.
Published: (2023)

Adaptive sparse variational approximations for Gaussian process regression
by: Nieman, Dennis, et al.
Published: (2025)

Asymptotic properties of resampling-based processes for the average treatment effect in observational studies with competing risks
by: Rühl, Jasmin, et al.
Published: (2023)

Strong Gaussian approximations with random multipliers
by: Mies, Fabian
Published: (2024)

Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression
by: Stankewitz, Bernhard, et al.
Published: (2024)

Scalable Bayesian inference for heat kernel Gaussian processes on manifolds
by: He, Junhui, et al.
Published: (2024)

Asymptotic inference for skewed stable Ornstein-Uhlenbeck process
by: Kawamo, Eitaro, et al.
Published: (2026)

Characterisations of Kullback--Leibler approximation by finite Gaussian mixtures
by: Nguyen, Hien Duy
Published: (2026)

High-dimensional Gaussian and bootstrap approximations for robust means
by: Kock, Anders Bredahl, et al.
Published: (2025)

Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals
by: Bolin, David, et al.
Published: (2024)

Asymptotics for irregularly observed long memory processes
by: Ould-Haye, Mohamedou, et al.
Published: (2024)

Implementation and Analysis of GPU Algorithms for Vecchia Approximation
by: James, Zachary, et al.
Published: (2024)

On the best approximation by finite Gaussian mixtures
by: Ma, Yun, et al.
Published: (2024)

Asymptotic analysis of the finite predictor for the fractional Gaussian noise
by: Chigansky, P., et al.
Published: (2025)

Asymptotically uniformly most powerful tests for diffusion processes with nonsynchronous observations
by: Ogihara, Teppei, et al.
Published: (2025)

Fixed and Increasing Domain Asymptotics for the Roughness and Scale of Isotropic Gaussian Random Fields
by: Kotharkar, Varun, et al.
Published: (2025)

Asymptotic properties of adaptive designs through differentiability in quadratic mean
by: Christensen, Dennis, et al.
Published: (2023)

Gaussian and bootstrap approximations for functional principal component regression
by: Yeon, Hyemin
Published: (2026)

Non-Asymptotic Error Bounds for Causally Conditioned Directed Information Rates of Gaussian Sequences
by: Zheng, Yuping, et al.
Published: (2025)

Optimal plug-in Gaussian processes for modeling derivatives
by: Liu, Zejian, et al.
Published: (2022)

Asymptotic properties of adaptive group Lasso for sparse reduced rank regression
by: He, Kejun, et al.
Published: (2016)

On the Square Root of Wishart Matrices: Exact Distributions and Asymptotic Gaussian Behavior
by: Liu, Fengcheng
Published: (2025)

Sharp Gaussian approximations for Decentralized Federated Learning
by: Bonnerjee, Soham, et al.
Published: (2025)

Gaussian universality for approximately polynomial functions of high-dimensional data
by: Huang, Kevin Han, et al.
Published: (2024)

Strong Gaussian approximation for U-statistics in high dimensions and beyond
by: Li, Weijia, et al.
Published: (2026)

Gaussian random projections of convex cones: approximate kinematic formulae and applications
by: Han, Qiyang, et al.
Published: (2022)

Partial correlation networks of Gaussian processes
by: Peruzzi, Michele
Published: (2026)

Robust high-dimensional Gaussian and bootstrap approximations for trimmed sample means
by: Resende, Lucas
Published: (2024)

Poisson approximation for stochastic processes summed over amenable groups
by: Ye, Haoyu, et al.
Published: (2024)

Smoothed SGD for quantiles: Bahadur representation and Gaussian approximation
by: Chen, Likai, et al.
Published: (2025)

Cox processes driven by transformed Gaussian processes on linear networks -- A review and new contributions
by: Møller, Jesper, et al.
Published: (2022)

Asymptotic properties of the MLE in distributional regression under random censoring
by: Kremling, Gitte, et al.
Published: (2025)

Sharp regret-Hellinger bounds for Gaussian empirical Bayes via polynomial approximation
by: Chen, Jiafeng, et al.
Published: (2026)