Regularized estimation for highly multivariate log Gaussian Cox processes

被引：0

作者：

Achmad Choiruddin

Francisco Cuevas-Pacheco

Jean-François Coeurjolly

Rasmus Waagepetersen

机构：

[1] Institut Teknologi Sepuluh Nopember (ITS),Department of Statistics

[2] Aalborg University,Department of Mathematical Sciences

[3] Université du Québec à Montréal (UQAM),Department of Mathematics

来源：

Statistics and Computing | 2020年 / 30卷

关键词：

Cross-pair correlation; Elastic net; LASSO; Log Gaussian Cox process; Multivariate point process; Proximal Newton method;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Statistical inference for highly multivariate point pattern data is challenging due to complex models with large numbers of parameters. In this paper, we develop numerically stable and efficient parameter estimation and model selection algorithms for a class of multivariate log Gaussian Cox processes. The methodology is applied to a highly multivariate point pattern data set from tropical rain forest ecology.

引用

页码：649 / 662

页数：13

共 50 条

[21] Exact Bayesian inference in spatiotemporal Cox processes driven by multivariate Gaussian processes
Goncalves, Flavio B.
Gamerman, Dani
[J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2018, 80 (01) : 157 - 175
[22] Bayesian Variable Selection Methods for Log-Gaussian Cox Processes
Pinto Junior, Jony Arrais
da Silva, Patricia Viana
[J]. BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING, MAXENT 37, 2018, 239 : 101 - 110
[23] Joint second-order parameter estimation for spatio-temporal log-Gaussian Cox processes
Marianna Siino
Giada Adelfio
Jorge Mateu
[J]. Stochastic Environmental Research and Risk Assessment, 2018, 32 : 3525 - 3539
[24] Joint second-order parameter estimation for spatio-temporal log-Gaussian Cox processes
Siino, Marianna
Adelfio, Giada
Mateu, Jorge
[J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2018, 32 (12) : 3525 - 3539
[25] Bayesian computation for Log-Gaussian Cox processes: a comparative analysis of methods
Teng, Ming
Nathoo, Farouk
Johnson, Timothy D.
[J]. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2017, 87 (11) : 2227 - 2252
[26] LOG-GAUSSIAN COX PROCESSES OF VISUAL KEYPOINTS FOR SONAR TEXTURE RECOGNITION
Huu-Giao Nguyen
Fablet, Ronan
Boucher, Jean-Marc
[J]. 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 1005 - 1008
[27] Correction to: Local spatial log-Gaussian Cox processes for seismic data
Nicoletta D’Angelo
Marianna Siino
Antonino D’Alessandro
Giada Adelfio
[J]. AStA Advances in Statistical Analysis, 2023, 107 (4) : 815 - 819
[28] Conditionally heteroscedastic intensity-dependent marking of log Gaussian Cox processes
Myllymaki, Mari
Penttinen, Antti
[J]. STATISTICA NEERLANDICA, 2009, 63 (04) : 450 - 473
[29] Structural Complexity and Informational Transfer in Spatial Log-Gaussian Cox Processes
Medialdea, Adriana
Angulo, Jose Miguel
Mateu, Jorge
[J]. ENTROPY, 2021, 23 (09)
[30] Gaussian semiparametric estimation of multivariate fractionally integrated processes
Shimotsu, Katsumi
[J]. JOURNAL OF ECONOMETRICS, 2007, 137 (02) : 277 - 310

← 1 2 3 4 5 →