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Fixed-domain asymptotic properties of tapered maximum likelihood
  estimators

Fixed-domain asymptotic properties of tapered maximum likelihood estimators

2 September 2009
Juan Du
Hao Zhang
V. Mandrekar
ArXiv (abs)PDFHTML

Papers citing "Fixed-domain asymptotic properties of tapered maximum likelihood estimators"

31 / 31 papers shown
Title
Random forests for binary geospatial data
Random forests for binary geospatial data
Arkajyoti Saha
A. Datta
AI4CE
118
2
0
27 Feb 2023
Estimation of the Scale Parameter for a Misspecified Gaussian Process
  Model
Estimation of the Scale Parameter for a Misspecified Gaussian Process Model
Toni Karvonen
55
4
0
06 Oct 2021
Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear
  Regression Framework
Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Regression Framework
Sudipto Banerjee
49
13
0
09 Sep 2021
Finite Element Representations of Gaussian Processes: Balancing
  Numerical and Statistical Accuracy
Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy
D. Sanz-Alonso
Ruiyi Yang
56
12
0
06 Sep 2021
Inference for Gaussian Processes with Matérn Covariogram on Compact
  Riemannian Manifolds
Inference for Gaussian Processes with Matérn Covariogram on Compact Riemannian Manifolds
Didong Li
Wenpin Tang
Sudipto Banerjee
87
14
0
08 Apr 2021
Asymptotic analysis of maximum likelihood estimation of covariance
  parameters for Gaussian processes: an introduction with proofs
Asymptotic analysis of maximum likelihood estimation of covariance parameters for Gaussian processes: an introduction with proofs
François Bachoc
54
13
0
15 Sep 2020
Random Forests for dependent data
Random Forests for dependent data
Arkajyoti Saha
Sumanta Basu
A. Datta
AI4CE
21
8
0
30 Jul 2020
Hierarchical Bayesian Nearest Neighbor Co-Kriging Gaussian Process
  Models; An Application to Intersatellite Calibration
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
41
7
0
03 Apr 2020
Asymptotic properties of the maximum likelihood and cross validation
  estimators for transformed Gaussian processes
Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes
François Bachoc
José Bétancourt
Reinhard Furrer
T. Klein
50
12
0
25 Nov 2019
Efficiency Assessment of Approximated Spatial Predictions for Large
  Datasets
Efficiency Assessment of Approximated Spatial Predictions for Large Datasets
Yiping Hong
Sameh Abdulah
M. Genton
Ying Sun
74
10
0
11 Nov 2019
On identifiability and consistency of the nugget in Gaussian spatial
  process models
On identifiability and consistency of the nugget in Gaussian spatial process models
Wenpin Tang
Lu Zhang
Sudipto Banerjee
65
40
0
15 Aug 2019
Vecchia approximations of Gaussian-process predictions
Vecchia approximations of Gaussian-process predictions
Matthias Katzfuss
J. Guinness
Wenlong Gong
Daniel Zilber
95
93
0
08 May 2018
Maximum likelihood estimation for Gaussian processes under inequality
  constraints
Maximum likelihood estimation for Gaussian processes under inequality constraints
François Bachoc
A. Lagnoux
A. F. López-Lopera
87
24
0
10 Apr 2018
Finite-dimensional Gaussian approximation with linear inequality
  constraints
Finite-dimensional Gaussian approximation with linear inequality constraints
A. F. López-Lopera
François Bachoc
N. Durrande
O. Roustant
138
67
0
20 Oct 2017
A general framework for Vecchia approximations of Gaussian processes
A general framework for Vecchia approximations of Gaussian processes
Matthias Katzfuss
J. Guinness
95
262
0
21 Aug 2017
Cross-validation estimation of covariance parameters under fixed-domain
  asymptotics
Cross-validation estimation of covariance parameters under fixed-domain asymptotics
François Bachoc
A. Lagnoux
Thi Mong Ngoc Nguyen
85
22
0
10 Oct 2016
Estimation and Prediction using generalized Wendland Covariance
  Functions under fixed domain asymptotics
Estimation and Prediction using generalized Wendland Covariance Functions under fixed domain asymptotics
M. Bevilacqua
Tarik Faouzi
Reinhard Furrer
Emilio Porcu
134
75
0
23 Jul 2016
On the consistency of inversion-free parameter estimation for Gaussian
  random fields
On the consistency of inversion-free parameter estimation for Gaussian random fields
Hossein Keshavarz
Clayton Scott
X. Nguyen
23
4
0
15 Jan 2016
Sparse Pseudo-input Local Kriging for Large Spatial Datasets with
  Exogenous Variables
Sparse Pseudo-input Local Kriging for Large Spatial Datasets with Exogenous Variables
Babak Farmanesh
Arash Pourhabib
32
1
0
05 Aug 2015
Spatially adaptive covariance tapering
Spatially adaptive covariance tapering
David Bolin
J. Wallin
30
18
0
11 Jun 2015
Asymptotic properties of multivariate tapering for estimation and
  prediction
Asymptotic properties of multivariate tapering for estimation and prediction
Reinhard Furrer
François Bachoc
Juan Du
142
34
0
05 Jun 2015
Optimal change point detection in Gaussian processes
Optimal change point detection in Gaussian processes
Hossein Keshavarz
Clayton Scott
X. Nguyen
78
34
0
03 Jun 2015
A frequency domain empirical likelihood method for irregularly spaced
  spatial data
A frequency domain empirical likelihood method for irregularly spaced spatial data
S. Bandyopadhyay
S. Lahiri
D. Nordman
49
36
0
17 Mar 2015
Stochastic Local Interaction (SLI) Model: Interfacing Machine Learning
  and Geostatistics
Stochastic Local Interaction (SLI) Model: Interfacing Machine Learning and Geostatistics
D. Hristopulos
47
31
0
16 Jan 2015
Asymptotic theory of generalized information criterion for
  geostatistical regression model selection
Asymptotic theory of generalized information criterion for geostatistical regression model selection
Chih Chang
Hsin-Cheng Huang
C. Ing
44
10
0
02 Dec 2014
Asymptotic analysis of the role of spatial sampling for covariance
  parameter estimation of Gaussian processes
Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes
François Bachoc
151
56
0
18 Jan 2013
Cross Validation and Maximum Likelihood estimations of hyper-parameters
  of Gaussian processes with model misspecification
Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
François Bachoc
149
228
0
18 Jan 2013
Penalized maximum likelihood estimation and variable selection in
  geostatistics
Penalized maximum likelihood estimation and variable selection in geostatistics
Tingjin Chu
Jun Zhu
Haonan Wang
38
55
0
01 Sep 2011
Consistency of the mean and the principal components of spatially
  distributed functional data
Consistency of the mean and the principal components of spatially distributed functional data
Siegfried Hormann
P. Kokoszka
103
34
0
15 Apr 2011
Bayesian Nonparametric Covariance Regression
Bayesian Nonparametric Covariance Regression
E. Fox
David B. Dunson
171
105
0
11 Jan 2011
On the consistent separation of scale and variance for Gaussian random
  fields
On the consistent separation of scale and variance for Gaussian random fields
E. Anderes
151
73
0
20 Jun 2009
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