Dr. Hyonho Chun
Associate Professor, Department of Statistics, Purdue University, 2016-
BrainPool Visiting Professor, Mathematical Sciences, KAIST, 2016
Assistant Professor, Statistics, Purdue University, 2010-2016
Postdoctoral Associate, Epidemiology and Public Health, Yale University, 2009- 2010
Ph. D. Statistics, University of Wisconsin at Madison, 2008
M. S. Statistics, Seoul National University, 2002
B. S. Earth Science Education, Seoul National University, 2000
150 N. University Street
West Lafayette IN 47907
Network inference and covariance estimation for high dimensional data.
Statistical genomics: expression quantitative trait loci mapping
methods, statistical methods for analyzing next generation sequencing
Model calibration and statistical quality control.
Statistical theory and methods for correlated high dimensional low sample size data.
Nonparametric function estimation and machine learning.
Clustering/partitioning of large graphs.
Qingyi Gao (Ph. D. Student at Department of Statistics)
Tim Keaton (Ph. D. Student at Depratment of Statistics)
Ji Hwan Oh (Ph. D., Department of Statistics)
Seokhun Bang (M. S., Department of Industrial Engineering)
Andres Nocolas Lopez (B. S. )
Q. Gao, J. Cai, H. Cai, H. Chun, and T. Nantung, Risk-Based Percent Within Limits Specification for Acceptance Testing in Pavement Construction (Submitted).
 J. Cai, Q.Gao, H. Cai, H. Chun and T. Nantung, Optimal Sampling Strategy For Acceptance Decision in Highway Construction: A Cost-Benefit Analysis Approach. (Submitted).
 J. Oh, F. Zhang, R. W. Doerge and H. Chun (2017+), Kernel Partial Correlation (Under revision).
 D. Ma, Y. Kim, B. Cooper, J. Oh, H. Chun, J. Choe, J. P. Schoonmaker, K. M. Ajuwon, B. Min (2017), Metabolomics Profiling to Determine the Effect of Postmortem Aging on Color and Lipid Oxidative Stabilities of Different Bovine Muscles, Journal of Agricultural and Food Chemistry, Accepted.
 J. Shi, J. K. Knight, H. Chun, N. A. Guild, and J. M. Martil (2017), Using pre-assessment and in-class questions to change student understanding of molecular movements, Journal of Microbiology and Biology Education.
 H. Chun, M. H. Lee, J. Fleet and J. Oh (2016), Graphical Models via Joint Quantile Regression with Component Selection, Journal of Multivariate Analysis, 152, 162-171.
 H. Chun, X. Zhang and H. Zhao (2015), Gene regulation network inference with joint Gaussian graphical models, Journal of Computational and Graphical Statistics, 24(4), 954-974.
 B. Li, H. Chun and H. Zhao (2014), On an additive semi-graphoid model for statistical networks with
application to pathway analysis, Journal of the American Statistical Association 109(507), 1188-1204.
 H. Chun, M. Chen, B. Li and H. Zhao (2013), Joint conditional Gaussian graphical models with multiple sources of genomic data, Frontiers in Genetics: Bioinformatics and Computational Biology 4:294.
 J. Moon and H. Chun (2013), Effective simultaneous confidence bands for repeated measurements in linear mixed-effect models, Journal of Statistical Computation and Simulation.
 B. Li, H. Chun and H. Zhao (2012), Sparse estimation of conditional graphical models with application to gene networks, Journal of the American Statistical Association, 107:152-167.
 H. Chun, D. Ballard, J. Cho and H. Zhao (2011), Association study
with multiple markers and disease via sparse partial least squares, Genetic Epidemiology, 35:479-486.
 H. Chun, J. Kang, X. Zhang, M. Deng, H. Ma and H. Zhao (2011), Reverse
engineering of gene regulation networks with an application to the
DREAM4 in silico Network Challenge, Statistical Bioinformatics.
 S. H. Cho and H. Chun (2010), Visualizing abnormal climate
changes in central America from 1996-2000, Computational Statistics.
 H. Chun and S. Keles (2010), Simultaneous dimension reduction and
variable selection with Sparse Partial Least Squares, Journal of Royal
Statistical Society - Series B (Statistical Methodology), 72:3-25.
 H. Shim, H. Chun, C. D. Engelman and B. A. Payseur (2009), Genome-wide
association studies using SNPs vs. haplotypes: An empirical comparison
with data from the North American Rhematoid Arthritis Consortium, BMC
Proceedings, 3 (Suppl 7):S35.
 H. Chun and S. Keles (2009), Expression quantitative loci mapping with sparse partial least squares, Genetics, 182:79-90.
 S. Keles and H. Chun (2008), Comments on: Augmenting Bootstrap to
analyze high dimensional genomic data. Connections to the ridge
regularized covariance estimator with bagging, TEST, 17(1): 36-39.
 P.F. Kuan, H. Chun and S. Keles (2008), CMARRT: A tool for the
analysis of ChIP-chip data from tiling arrays by incorporating the
correlation structure. Pacific Symposium on Biocomputing, 13:515-526.