标题
Functional structural equation model
作者
关键词
-
出版物
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
Volume 84, Issue 2, Pages 600-629
出版商
Wiley
发表日期
2022-03-21
DOI
10.1111/rssb.12471
参考文献
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。- Likelihood ratio tests for a large directed acyclic graph
- (2019) Chunlin Li et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- FSEM: Functional Structural Equation Models for Twin Functional Data
- (2018) S. Luo et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- OUP accepted manuscript
- (2018) BIOMETRIKA
- Encoding of Multiple Reward-Related Computations in Transient and Sustained High-Frequency Activity in Human OFC
- (2018) Ignacio Saez et al. CURRENT BIOLOGY
- A nonparametric graphical model for functional data with application to brain networks based on fMRI
- (2017) Bing Li et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Function-on-Function Linear Regression by Signal Compression
- (2017) Ruiyan Luo et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Functional Graphical Models
- (2017) Xinghao Qiao et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Kernel-based tests for joint independence
- (2017) Niklas Pfister et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- On an additive partial correlation operator and nonparametric estimation of graphical models
- (2016) Kuang-Yao Lee et al. BIOMETRIKA
- Cytoarchitecture and probability maps of the human medial orbitofrontal cortex
- (2016) Anton Henssen et al. CORTEX
- Variable selection via additive conditional independence
- (2016) Kuang-Yao Lee et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Functional additive regression
- (2015) Yingying Fan et al. ANNALS OF STATISTICS
- CAM: Causal additive models, high-dimensional order search and penalized regression
- (2014) Peter Bühlmann et al. ANNALS OF STATISTICS
- On an Additive Semigraphoid Model for Statistical Networks With Application to Pathway Analysis
- (2014) Bing Li et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Learning Sparse Causal Gaussian Networks With Experimental Intervention: Regularization and Coordinate Descent
- (2012) Fei Fu et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence
- (2011) Pradeep Ravikumar et al. Electronic Journal of Statistics
- Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs
- (2010) A. Shojaie et al. BIOMETRIKA
- Covariance regularization by thresholding
- (2009) Peter J. Bickel et al. ANNALS OF STATISTICS
- High-dimensional additive modeling
- (2009) Lukas Meier et al. ANNALS OF STATISTICS
- Functional Additive Models
- (2009) Hans-Georg Müller et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Sparse additive models
- (2009) Pradeep Ravikumar et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
- (2009) Amir Beck et al. SIAM Journal on Imaging Sciences
- A hidden spatial-temporal Markov random field model for network-based analysis of time course gene expression data
- (2008) Zhi Wei et al. Annals of Applied Statistics
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started