Haiyan Wang

According to our database, Haiyan Wang authored at least 12 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Different thresholding methods on Nearest Shrunken Centroid algorithm.

Mohammad Omar Sahtout, Haiyan Wang, Santosh Ghimire

Commun. Stat. Simul. Comput., March, 2024

2021

A Nonparametric Lack-of-Fit Test of Constant Regression in the Presence of Heteroscedastic Variances.

Mohammed M. Gharaibeh, Mohammad Sahtout, Haiyan Wang, Suojin Wang

Symmetry, 2021

A more powerful test of equality of high-dimensional two-sample means.

Huaiyu Zhang, Haiyan Wang

Comput. Stat. Data Anal., 2021

2020

A machine learning method for selection of genetic variants to increase prediction accuracy of type 2 diabetes mellitus using sequencing data.

Luann C. Jung, Haiyan Wang, Xukun Li, Cen Wu

Stat. Anal. Data Min., 2020

Interactions of Linguistic and Domain Overhypotheses in Category Learning.

Luann C. Jung, Haiyan Wang

CoRR, 2020

2015

Prediction of O-glycosylation sites based on multi-scale composition of amino acids and feature selection.

Yuan Chen, Wei Zhou, Haiyan Wang, Zheming Yuan

Medical Biol. Eng. Comput., 2015

2012

Classification of image pixels based on minimum distance and hypothesis testing.

Santosh Ghimire, Haiyan Wang

Comput. Stat. Data Anal., 2012

Improving accuracy for cancer classification with a new algorithm for genes selection.

Hongyan Zhang, Haiyan Wang, Zhijun Dai, Ming-shun Chen, Zheming Yuan

BMC Bioinform., 2012

2011

Gene set analysis for longitudinal gene expression data.

Ke Zhang, Haiyan Wang, Arne C. Bathke, Solomon W. Harrar, Hans-Peter Piepho, Youping Deng

BMC Bioinform., 2011

2010

Rank test for heteroscedastic functional data.

Haiyan Wang, Michael G. Akritas

J. Multivar. Anal., 2010

Series of randomized complete block experiments with non-normal data.

Arne C. Bathke, Solomon W. Harrar, Haiyan Wang, Ke Zhang, Hans-Peter Piepho

Comput. Stat. Data Anal., 2010

2009

Partition clustering of high dimensional low sample size data based on p-values.

George von Borries, Haiyan Wang

Comput. Stat. Data Anal., 2009