4.5 Article

Efficient Gaussian process regression for large datasets

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Environmental Sciences

Adaptive Gaussian predictive process models for large spatial datasets

Rajarshi Guhaniyogi et al.

ENVIRONMETRICS (2011)

Article Computer Science, Interdisciplinary Applications

Improving the performance of predictive process modeling for large datasets

Andrew O. Finley et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2009)

Article Statistics & Probability

Rates of contraction of posterior distributions based on Gaussian process priors

A. W. Van Der Wart et al.

ANNALS OF STATISTICS (2008)

Article Statistics & Probability

Stationary process approximation for the analysis of large spatial datasets

Sudipto Banerjee et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2008)

Article Statistics & Probability

Fixed rank kriging for very large spatial data sets

Noel Cressie et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2008)

Article Statistics & Probability

On posterior consistency in nonparametric regression problems

Taeryon Choi et al.

JOURNAL OF MULTIVARIATE ANALYSIS (2007)

Article Statistics & Probability

Towards a faster implementation of density estimation with logistic Gaussian process priors

Surya T. Tokdar

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2007)

Article Computer Science, Theory & Methods

Bayesian sequential inference for nonlinear multivariate diffusions

Andrew Golightly et al.

STATISTICS AND COMPUTING (2006)

Article Computer Science, Information Systems

Compressed sensing

DL Donoho

IEEE TRANSACTIONS ON INFORMATION THEORY (2006)

Article Computer Science, Information Systems

Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information

EJ Candès et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2006)

Article Engineering, Multidisciplinary

Finite elements for elliptic problems with stochastic coefficients

P Frauenfelder et al.

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2005)

Article Computer Science, Software Engineering

An elementary proof of a theorem of Johnson and Lindenstrauss

S Dasgupta et al.

RANDOM STRUCTURES & ALGORITHMS (2003)

Article Computer Science, Artificial Intelligence

Sparse on-line Gaussian processes

L Csato et al.

NEURAL COMPUTATION (2002)