Huiwen Wang

发表

Promoting inclusive water governance and forecasting the structure of water consumption based on compositional data: A case study of Beijing.

Yigang Wei, Zhichao Wang, Huiwen Wang, 2018, The Science of the total environment.

Spatial partial least squares autoregression: Algorithm and applications

Huiwen Wang, G. Saporta, J. Gu, 2019, Chemometrics and Intelligent Laboratory Systems.

Examining the influencing factors of CO2 emissions at city level via panel quantile regression: evidence from 102 Chinese cities

Huiwen Wang, Haitao Zheng, Jie Hu, 2019, Applied Economics.

Chapter 17 Regression Modelling Analysis on Compositional Data

Huiwen Wang, M. Tenenhaus, Jie Meng, 2010 .

The Emergence of Critical Stocks in Market Crash

Jichang Zhao, Shan Lu, Huiwen Wang, 2019, Frontiers in Physics.

Herding boosts too-connected-to-fail risk in stock market of China

Jichang Zhao, Shan Lu, Huiwen Wang, 2017, Physica A: Statistical Mechanics and its Applications.

Predicting population age structures of China, India, and Vietnam by 2030 based on compositional data

Yigang Wei, Zhichao Wang, Huiwen Wang, 2019, PLoS ONE.

Hierarchical Clustering for Mixed Feature-Type Complex Data

Huiwen Wang, 2015 .

Linear mixed-effects model for longitudinal complex data with diversified characteristics

Zhichao Wang, Huiwen Wang, G. Saporta, 2020 .

Functional Linear Regression Analysis Based on Partial Least Squares and Its Application

Huiwen Wang, Lele Huang, 2014 .

Sliced inverse regression method for multivariate compositional data modeling

Zhichao Wang, Huiwen Wang, Shanshan Wang, 2019, Statistical Papers.

The Power of Trading Polarity: Evidence from China Stock Market Crash

Huiwen Wang, Shan Lu, Jichang Zhao, 2018, 1802.01143.

Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method

Haotong Qin, Yigang Wei, Huiwen Wang, 2022, Energy Economics.

Impact of US financial crisis on Different Countries: Based on the Method of Functional Analysis of Variance

Nan Li, Wen Long, Huiwen Wang, 2012, ICCS.

Functional variable selection via Gram–Schmidt orthogonalization for multiple functional linear regression

Huiwen Wang, Ruiping Liu, Shanshan Wang, 2018, Journal of Statistical Computation and Simulation.

Disclosure and determinants studies: An extension using the Divisive Clustering Method (DIV)

Huiwen Wang, M. Chavent, Yuan Ding, 2006 .

Detecting Systemically Important Platforms in P2P Market of China

Huiwen Wang, Shan Lu, Jichang Zhao, 2018, 2018 15th International Conference on Service Systems and Service Management (ICSSSM).

Spatial–seasonal characteristics and critical impact factors of PM2.5 concentration in the Beijing–Tianjin–Hebei urban agglomeration

Yigang Wei, Huiwen Wang, Yunjiang Yu, 2018, PloS one.

Compositional data techniques for forecasting dynamic change in China’s energy consumption structure by 2020 and 2030

Yigang Wei, Zhichao Wang, Huiwen Wang, 2020 .

Endogenous or Exogenous? Examining Trans-Boundary Air Pollution by Using the Air Quality Index (AQI): A Case Study of 30 Provinces and Autonomous Regions in China

Yigang Wei, Huiwen Wang, Wenyang Huang, 2018, Sustainability.

Sparse Correspondence Analysis for Contingency Tables.

Huiwen Wang, G. Saporta, N. Niang, 2020, 2012.04271.

Robust regression for interval-valued data based on midpoints and log-ranges

Huiwen Wang, Shanshan Wang, Qing Zhao, 2022, Advances in Data Analysis and Classification.

Introduction to SIMCA-P and Its Application

Huiwen Wang, Jie Meng, Zaibin Wu, 2010 .

An Approach for PLS Regression Modeling of Functional Data

Huiwen Wang, G. Saporta, Jie Wang, 2009 .

Handbook of Partial Least Squares

Wynne W. Chin, Huiwen Wang, Jörg Henseler, 2010 .

A novel approach to intrusion detection using SVM ensemble with feature augmentation

Jie Gu, Shanshan Wang, Lihong Wang, 2019, Comput. Secur..

A density weighted fuzzy outlier clustering approach for class imbalanced learning

Xiaokang Wang, Yihui Wang, Huiwen Wang, 2020, Neural Computing and Applications.

Modelling opportunity cost effects in money demand due to openness

Huiwen Wang, D. Qin, Sophie van Huellen, 2020, International Journal of Finance & Economics.

Convex clustering method for compositional data modeling

Zhichao Wang, Xiaokang Wang, Jidong Yuan, 2020, Soft Computing.

Sieve M-estimator for a semi-functional linear model

Hengjian Cui, Huiwen Wang, Huiwen Wang, 2015 .

A hyperspherical transformation forecasting model for compositional data

Qiang Liu, Huiwen Wang, Wai Man Tse, 2007, Eur. J. Oper. Res..

Forecasting open-high-low-close data contained in candlestick chart

Huiwen Wang, Shanshan Wang, Wenyang Huang, 2021, 2104.00581.

Tracking and forecasting milepost moments of the epidemic in the early-outbreak: framework and applications to the COVID-19

Shan Lu, Huiwen Wang, Shanshan Wang, 2020, medRxiv.

Mapping the Illegal International Ivory Trading Network to Identify Key Hubs and Smuggling Routes

Yigang Wei, Huiwen Wang, Wenyang Huang, 2020, EcoHealth.

TEMPORAL-SPATIAL CHARACTERISTICS AND KEY INFLUENCING FACTORS OF PM2.5 CONCENTRATIONS IN CHINA BASED ON STIRPAT MODEL AND KUZNETS CURVE

Hongrui Zhao, Yigang Wei, Huiwen Wang, 2019, Environmental Engineering and Management Journal.

Uncovering the culprits of air pollution: Evidence from China's economic sectors and regional heterogeneities

Yigang Wei, Jie Gu, Huiwen Wang, 2018 .

Editorial: Perspectives on Partial Least Squares

Wynne W. Chin, Huiwen Wang, Jörg Henseler, 2010 .

Missing data imputation in PLS-SEM

Huiwen Wang, Shan Lu, Yide Liu, 2022, Quality & Quantity.

An effective intrusion detection framework based on SVM with feature augmentation

Jie Gu, Shanshan Wang, Huiwen Wang, 2017, Knowl. Based Syst..

Adaptive neuro fuzzy inference system for classification of water quality status.

Han Yan, Huiwen Wang, Zhihong Zou, 2010, Journal of environmental sciences.

CIPCA: Complete-Information-based Principal Component Analysis for interval-valued data

Junjie Wu, Huiwen Wang, Rong Guan, 2012, Neurocomputing.

Dynamic feature weighting for data streams with distribution-based log-likelihood divergence

Dexiang Wu, Huiwen Wang, Xiaokang Wang, 2022, Eng. Appl. Artif. Intell..

Dimension reduction of open-high-low-close data in candlestick chart based on pseudo-PCA

Huiwen Wang, Shanshan Wang, Wenyang Huang, 2021, 2103.16908.

The style and innate structure of the stock markets in China

Wen Long, Huiwen Wang, Yan Hu, 2009 .

A flexible spatial autoregressive modelling framework for mixed covariates of multiple data types

Shanshan Wang, Tingting Huang, Huiwen Wang, 2018, Commun. Stat. Simul. Comput..

Enhancing the SVD Compression pdf

Jichang Zhao, Huiwen Wang, Yanwen Zhang, 2021, ArXiv.

Cone dominance and efficiency in DEA

Waiman Cheung, Huiwen Wang, Zhimin Huang, 2006, Ann. Oper. Res..

Aggregating multiple types of complex data in stock market prediction: A model-independent framework

Shan Lu, Huiwen Wang, Jichang Zhao, 2018, Knowl. Based Syst..

Improving accuracy of financial distress prediction by considering volatility: an interval-data-based discriminant model

Huiwen Wang, Rong Guan, Haitao Zheng, 2020, Comput. Stat..

Disclosure and determinants studies: An extension using the Divisive Clustering Method (DIV)

Marie Chavent, Yuan Ding, Huiwen Wang, 2005 .

M-LDQ feature embedding and regression modeling for distribution-valued data

Huiwen Wang, Shan Lu, Qing Zhao, 2022, Information Sciences.

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

Zhichao Wang, Huiwen Wang, Shan Lu, 2021, Inf. Sci..

MD-MBPLS: A novel explanatory model in computational social science

Jichang Zhao, Shan Lu, Huiwen Wang, 2021, Knowl. Based Syst..

Linear regression of interval-valued data based on complete information in hypercubes

Junjie Wu, Huiwen Wang, Huiwen Wang, 2012 .

Principal component analysis for compositional data vectors

Rong Guan, Huiwen Wang, Liying Shangguan, 2015, Comput. Stat..

Incremental calculation for multivariate statistics of compositional data

Huiwen Wang, Yuan Wei, 2015 .

A robust spatial autoregressive scalar-on-function regression with t-distribution

Gilbert Saporta, Tingting Huang, Huiwen Wang, 2020, Advances in Data Analysis and Classification.

Ultra-high dimensional variable screening via Gram–Schmidt orthogonalization

Gilbert Saporta, Huiwen Wang, Ruiping Liu, 2020, Computational Statistics.

The M-estimator for functional linear regression model

Huiwen Wang, Huiwen Wang, Lele Huang, 2014 .

Interval-valued data regression using partial linear model

Yuan Wei, Huiwen Wang, Shanshan Wang, 2017 .

Interpretation of partial least-squares regression models with VARIMAX rotation

Qiang Liu, Huiwen Wang, Yongping Tu, 2005, Comput. Stat. Data Anal..

A Fuzzy Consensus Clustering Based Undersampling Approach for Class Imbalanced Learning

Rui Zhou, Xiaokang Wang, Yihui Wang, 2019, ACAI.

Predicting population age structures of China, India, and Vietnam by 2030 based on compositional data

Yigang Wei, Zhichao Wang, Huiwen Wang, 2019, PloS one.

Convex clustering method for compositional data via sparse group lasso

Shanshan Wang, Xiaokang Wang, Jidong Yuan, 2020, Neurocomputing.

Spatial Functional Linear Model and its Estimation Method

Huiwen Wang, G. Saporta, Shanshan Wang, 2018, 1811.00314.

Prediction of Sequential Static Input-Output Table

Wen Long, Huiwen Wang, Huiwen Wang, 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

Skeleton estimation of directed acyclic graphs using partial least squares from correlated data

Huiwen Wang, Shan Lu, Xiaokang Wang, 2023, Pattern Recognit..

Forecast modelling for rotations of principal axes of multidimensional data sets

Huiwen Wang, Huiwen Wang, Qiang Liu, 1998 .

Robust shrinkage estimation and selection for functional multiple linear model through LAD loss

Siyang Wang, Huiwen Wang, Junlong Zhao, 2016, Comput. Stat. Data Anal..

Risk support vector machine for predicting the trend of enterprises development

Wenliang Hu, Huiwen Wang, Huiwen Wang, 2009, 2009 7th IEEE International Conference on Industrial Informatics.

Incremental modelling for compositional data streams

Shanshan Wang, Yuan Wei, Gilbert Saporta, 2019, Commun. Stat. Simul. Comput..

Multiple linear regression modeling for compositional data

Junjie Wu, Huiwen Wang, Rong Guan, 2013, Neurocomputing.