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。A Partial Correlation Screening Approach for Controlling the False Positive Rate in Sparse Gaussian Graphical Models
Ginette Lafit et al.
SCIENTIFIC REPORTS (2019)
On Ising Models and Algorithms for the Construction of Symptom Networks in Psychopathological Research
Michael J. Brusco et al.
PSYCHOLOGICAL METHODS (2019)
An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models
M. Marsman et al.
MULTIVARIATE BEHAVIORAL RESEARCH (2018)
Nonparametric Finite Mixture of Gaussian Graphical Models
Kevin H. Lee et al.
TECHNOMETRICS (2018)
High-Dimensional Mixed Graphical Models
Jie Cheng et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2017)
High dimensional semiparametric latent graphical model for mixed data
Jianqing Fan et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2017)
A Network Approach to Psychosis: Pathways Between Childhood Trauma and Psychotic Symptoms
Adela-Maria Isvoranu et al.
SCHIZOPHRENIA BULLETIN (2017)
Generalized Network Psychometrics: Combining Network and Latent Variable Models
Sacha Epskamp et al.
PSYCHOMETRIKA (2017)
STATISTICAL GUARANTEES FOR THE EM ALGORITHM: FROM POPULATION TO SAMPLE-BASED ANALYSIS
Sivaraman Balakrishnan et al.
ANNALS OF STATISTICS (2017)
Toward a Formalized Account of Attitudes: The Causal Attitude Network (CAN) Model
Jonas Dalege et al.
PSYCHOLOGICAL REVIEW (2016)
Learning the Structure of Mixed Graphical Models
Jason D. Lee et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2015)
Graphical Models for Ordinal Data
Jian Guo et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2015)
Selection and estimation for mixed graphical models
Shizhe Chen et al.
BIOMETRIKA (2015)
Label switching and its solutions for frequentist mixture models
Weixin Yao
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (2015)
From Loss to Loneliness: The Relationship Between Bereavement and Depressive Symptoms
Eiko I. Fried et al.
JOURNAL OF ABNORMAL PSYCHOLOGY (2015)
The joint graphical lasso for inverse covariance estimation across multiple classes
Patrick Danaher et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2014)
Network Analysis: An Integrative Approach to the Structure of Psychopathology
Denny Borsboom et al.
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 9 (2013)
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection
Shiqian Ma et al.
NEURAL COMPUTATION (2013)
Deconstructing the construct: A network perspective on psychological phenomena
Verena D. Schmittmann et al.
NEW IDEAS IN PSYCHOLOGY (2013)
NONCONCAVE PENALIZED COMPOSITE CONDITIONAL LIKELIHOOD ESTIMATION OF SPARSE ISING MODELS
Lingzhou Xue et al.
ANNALS OF STATISTICS (2012)
REGULARIZED RANK-BASED ESTIMATION OF HIGH-DIMENSIONAL NONPARANORMAL GRAPHICAL MODELS
Lingzhou Xue et al.
ANNALS OF STATISTICS (2012)
A Constrained l1 Minimization Approach to Sparse Precision Matrix Estimation
Tony Cai et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2011)
Regularized Parameter Estimation in High-Dimensional Gaussian Mixture Models
Lingyan Ruan et al.
NEURAL COMPUTATION (2011)
HIGH-DIMENSIONAL ISING MODEL SELECTION USING l1-REGULARIZED LOGISTIC REGRESSION
Pradeep Ravikumar et al.
ANNALS OF STATISTICS (2010)
Comorbidity: A network perspective
Angelique O. J. Cramer et al.
BEHAVIORAL AND BRAIN SCIENCES (2010)
Stability selection
Nicolai Meinshausen et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2010)
l1-penalization for mixture regression models
Nicolas Staedler et al.
TEST (2010)
Mixture Models for Ordinal Data
Richard Breen et al.
SOCIOLOGICAL METHODS & RESEARCH (2010)
A Spatial Multidimensional Unfolding Choice Model for Examining the Heterogeneous Expressions of Sports Fan Avidity
Wayne S. DeSarbo
JOURNAL OF QUANTITATIVE ANALYSIS IN SPORTS (2010)
IDENTIFIABILITY OF PARAMETERS IN LATENT STRUCTURE MODELS WITH MANY OBSERVED VARIABLES
Elizabeth S. Allman et al.
ANNALS OF STATISTICS (2009)
Sparse inverse covariance estimation with the graphical lasso
Jerome Friedman et al.
BIOSTATISTICS (2008)
Psychometric perspectives on diagnostic systems
Denny Borsboom
JOURNAL OF CLINICAL PSYCHOLOGY (2008)
Model selection and estimation in the Gaussian graphical model
Ming Yuan et al.
BIOMETRIKA (2007)
High-dimensional graphs and variable selection with the Lasso
Nicolai Meinshausen et al.
ANNALS OF STATISTICS (2006)
A latent class model for discrete choice analysis: contrasts with mixed logit
WH Greene et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2003)
Concomitant variables in finite mixture models
M Wedel
STATISTICA NEERLANDICA (2002)
Variable selection via nonconcave penalized likelihood and its oracle properties
JQ Fan et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)