Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
0909.0359
Cited By
Fixed-domain asymptotic properties of tapered maximum likelihood estimators
2 September 2009
Juan Du
Hao Zhang
V. Mandrekar
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Fixed-domain asymptotic properties of tapered maximum likelihood estimators"
46 / 46 papers shown
Asymptotic properties of Vecchia approximation for Gaussian processes
Myeongjong Kang
Florian Schafer
J. Guinness
Matthias Katzfuss
333
8
0
29 Jan 2024
Smoothness Estimation for Whittle-Matérn Processes on Closed Riemannian Manifolds
Stochastic Processes and their Applications (SPA), 2023
Moritz Korte-Stapff
Toni Karvonen
Eric Moulines
353
4
0
31 Dec 2023
Spatial Process Approximations: Assessing Their Necessity
Hao Zhang
135
2
0
06 Nov 2023
Comparing Scale Parameter Estimators for Gaussian Process Interpolation with the Brownian Motion Prior: Leave-One-Out Cross Validation and Maximum Likelihood
Masha Naslidnyk
Motonobu Kanagawa
Toni Karvonen
Maren Mahsereci
GP
333
1
0
14 Jul 2023
Compatibility of Space-Time Kernels with Full, Dynamical, or Compact Support
Mathematical methods in the applied sciences (MMAS), 2023
Tarik Faouzi
Reinhard Furrer
Emilio Porcu
151
1
0
12 Jun 2023
Random forests for binary geospatial data
Arkajyoti Saha
A. Datta
AI4CE
339
3
0
27 Feb 2023
Recursive Nearest Neighbor Co-Kriging Models for Big Multiple Fidelity Spatial Data Sets
Si Cheng
B. Konomi
Georgios Karagiannis
Emily L. Kang
BDL
188
1
0
26 Feb 2023
Fixed-domain asymptotic properties of maximum composite likelihood estimators for max-stable Brown-Resnick random fields
Nicolas Chenavier
C. Robert
153
0
0
19 Sep 2022
Fixed-domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget
Journal of the American Statistical Association (JASA), 2022
Cheng Li
Saifei Sun
Yichen Zhu
294
2
0
21 Jul 2022
Maximum Likelihood Estimation in Gaussian Process Regression is Ill-Posed
Journal of machine learning research (JMLR), 2022
Toni Karvonen
Chris J. Oates
GP
381
37
0
17 Mar 2022
Asymptotic analysis of ML-covariance parameter estimators based on covariance approximations
Electronic Journal of Statistics (EJS), 2021
Reinhard Furrer
Michael Hediger
241
3
0
23 Dec 2021
Estimation of the Scale Parameter for a Misspecified Gaussian Process Model
Toni Karvonen
302
4
0
06 Oct 2021
Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework
Spatial Statistics (SS), 2020
Sudipto Banerjee
160
17
0
09 Sep 2021
Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy
D. Sanz-Alonso
Ruiyi Yang
265
15
0
06 Sep 2021
Inference for Gaussian Processes with Matérn Covariogram on Compact Riemannian Manifolds
Journal of machine learning research (JMLR), 2021
Didong Li
Wenpin Tang
Sudipto Banerjee
491
20
0
08 Apr 2021
Fixed-Domain Asymptotics Under Vecchia's Approximation of Spatial Process Likelihoods
Statistica sinica (Stat. Sinica), 2021
Lu Zhang
Wenpin Tang
S. Banerjee
196
1
0
21 Jan 2021
Asymptotic analysis of maximum likelihood estimation of covariance parameters for Gaussian processes: an introduction with proofs
François Bachoc
234
18
0
15 Sep 2020
Random Forests for dependent data
Arkajyoti Saha
Sumanta Basu
A. Datta
AI4CE
311
9
0
30 Jul 2020
A multi-resolution approximation via linear projection for large spatial datasets
Japanese Journal of Statistics and Data Science (JSDS), 2020
Toshihiro Hirano
256
1
0
10 Apr 2020
Hierarchical Bayesian Nearest Neighbor Co-Kriging Gaussian Process Models; An Application to Intersatellite Calibration
Sibo Cheng
B. Konomi
J. Matthews
G. Karagiannis
E. Kang
SyDa
424
7
0
03 Apr 2020
Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes
Electronic Journal of Statistics (EJS), 2019
François Bachoc
José Bétancourt
Reinhard Furrer
T. Klein
219
12
0
25 Nov 2019
Efficiency Assessment of Approximated Spatial Predictions for Large Datasets
Spatial Statistics (SS), 2019
Yiping Hong
Sameh Abdulah
M. Genton
Ying Sun
434
12
0
11 Nov 2019
On identifiability and consistency of the nugget in Gaussian spatial process models
Wenpin Tang
Lu Zhang
Sudipto Banerjee
555
44
0
15 Aug 2019
Vecchia approximations of Gaussian-process predictions
Matthias Katzfuss
J. Guinness
Wenlong Gong
Daniel Zilber
402
112
0
08 May 2018
Maximum likelihood estimation for Gaussian processes under inequality constraints
François Bachoc
A. Lagnoux
A. F. López-Lopera
320
26
0
10 Apr 2018
Finite-dimensional Gaussian approximation with linear inequality constraints
A. F. López-Lopera
François Bachoc
N. Durrande
O. Roustant
416
77
0
20 Oct 2017
A general framework for Vecchia approximations of Gaussian processes
Matthias Katzfuss
J. Guinness
580
312
0
21 Aug 2017
Cross-validation estimation of covariance parameters under fixed-domain asymptotics
Journal of Multivariate Analysis (JMA), 2016
François Bachoc
A. Lagnoux
Thi Mong Ngoc Nguyen
271
22
0
10 Oct 2016
Joint Asymptotics for Estimating the Fractal Indices of Bivariate Gaussian Processes
Yuzhen Zhou
Yimin Xiao
164
1
0
12 Sep 2016
Estimation and Prediction using generalized Wendland Covariance Functions under fixed domain asymptotics
M. Bevilacqua
Tarik Faouzi
Reinhard Furrer
Emilio Porcu
464
78
0
23 Jul 2016
Maximum likelihood estimation for a bivariate Gaussian process under fixed domain asymptotics
D. Velandia
François Bachoc
M. Bevilacqua
X. Gendre
Jean-Michel Loubes
131
5
0
30 Mar 2016
On the consistency of inversion-free parameter estimation for Gaussian random fields
Hossein Keshavarz
Clayton Scott
X. Nguyen
136
4
0
15 Jan 2016
Sparse Pseudo-input Local Kriging for Large Spatial Datasets with Exogenous Variables
IISE Transactions (IISE Trans.), 2015
Babak Farmanesh
Arash Pourhabib
354
1
0
05 Aug 2015
Spatially adaptive covariance tapering
David Bolin
J. Wallin
175
21
0
11 Jun 2015
Asymptotic properties of multivariate tapering for estimation and prediction
Journal of Multivariate Analysis (JMA), 2015
Reinhard Furrer
François Bachoc
Juan Du
312
33
0
05 Jun 2015
Optimal change point detection in Gaussian processes
Hossein Keshavarz
Clayton Scott
X. Nguyen
281
36
0
03 Jun 2015
A frequency domain empirical likelihood method for irregularly spaced spatial data
S. Bandyopadhyay
S. Lahiri
D. Nordman
157
40
0
17 Mar 2015
Stochastic Local Interaction (SLI) Model: Interfacing Machine Learning and Geostatistics
D. Hristopulos
196
32
0
16 Jan 2015
Asymptotic theory of generalized information criterion for geostatistical regression model selection
Chih Chang
Hsin-Cheng Huang
C. Ing
233
11
0
02 Dec 2014
Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes
Journal of Multivariate Analysis (J. Multivar. Anal.), 2013
François Bachoc
623
61
0
18 Jan 2013
Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
Computational Statistics & Data Analysis (CSDA), 2013
François Bachoc
434
240
0
18 Jan 2013
Penalized maximum likelihood estimation and variable selection in geostatistics
Tingjin Chu
Jun Zhu
Haonan Wang
394
57
0
01 Sep 2011
Consistency of the mean and the principal components of spatially distributed functional data
Siegfried Hormann
P. Kokoszka
342
37
0
15 Apr 2011
Bayesian Nonparametric Covariance Regression
E. Fox
David B. Dunson
543
109
0
11 Jan 2011
Asymptotic near-efficiency of the ''Gibbs-energy (GE) and empirical-variance'' estimating functions for fitting Mat{é}rn models -- II: Accounting for measurement errors via ''conditional GE mean''
D. Girard
361
3
0
05 Sep 2009
On the consistent separation of scale and variance for Gaussian random fields
E. Anderes
390
76
0
20 Jun 2009
1
Page 1 of 1
