Risk spillover network structure learning for correlated financial assets: A directed acyclic graph approach

Additive noise model structure learning based on rank correlation

(2021) Jing Yang et al.   INFORMATION SCIENCES

Mutual-information-inspired heuristics for constraint-based causal structure learning

(2021) Xiaolong Qi et al.   INFORMATION SCIENCES

Representing complex networks without connectivity via spectrum series

(2021) Tongfeng Weng et al.   INFORMATION SCIENCES

Decomposition-based Bayesian network structure learning algorithm using local topology information

(2020) Jingguo Dai et al.   KNOWLEDGE-BASED SYSTEMS

High Dimensional Variable Screening under Multicollinearity

(2020) Naifei Zhao et al.   Stat

Bayesian network based label correlation analysis for multi-label classifier chain

(2020) Ran Wang et al.   INFORMATION SCIENCES

Mining direct acyclic graphs to find frequent substructures — An experimental analysis on educational data

(2019) Jefferson de J. Costa et al.   INFORMATION SCIENCES

Towards efficient and effective discovery of Markov blankets for feature selection

(2019) Hao Wang et al.   INFORMATION SCIENCES

Revising the structure of Bayesian network classifiers in the presence of missing data

(2018) Roosevelt Sardinha et al.   INFORMATION SCIENCES

Joint skeleton estimation of multiple directed acyclic graphs for heterogeneous population

(2018) Jianyu Liu et al.   BIOMETRICS

Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning

(2018) Meng Liu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Robust iteratively reweighted SIMPLS

(2017) Aylin Alin et al.   JOURNAL OF CHEMOMETRICS

Ensemble feature selection: Homogeneous and heterogeneous approaches

(2017) B. Seijo-Pardo et al.   KNOWLEDGE-BASED SYSTEMS

Quantitative Easing and Volatility Spillovers Across Countries and Asset Classes

(2017) Zihui Yang et al.   MANAGEMENT SCIENCE

Estimation of Directed Acyclic Graphs Through Two-Stage Adaptive Lasso for Gene Network Inference

(2016) Sung Won Han et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

PenPC : A two-step approach to estimate the skeletons of high-dimensional directed acyclic graphs

(2015) Min Jin Ha et al.   BIOMETRICS

High dimensional ordinary least squares projection for screening variables

(2015) Xiangyu Wang et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Causal Inference Using Graphical Models with theRPackagepcalg

(2015) Markus Kalisch et al.   Journal of Statistical Software

Credit Risk Spillovers Among Financial Institutions Around the Global Credit Crisis: Firm-Level Evidence

(2013) Jian Yang et al.   MANAGEMENT SCIENCE

Robust rank correlation based screening

(2012) Gaorong Li et al.   ANNALS OF STATISTICS

Forward Regression for Ultra-High Dimensional Variable Screening

(2010) Hansheng Wang   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Sparse partial least squares regression for simultaneous dimension reduction and variable selection

(2010) Hyonho Chun et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Partial Correlation Estimation by Joint Sparse Regression Models

(2009) Jie Peng et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Extended Bayesian information criteria for model selection with large model spaces

(2008) J. Chen et al.   BIOMETRIKA

Sure independence screening for ultrahigh dimensional feature space

(2008) Jianqing Fan et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY