Assistant Professor LIAN Heng
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  1. Y. Hu, R. Gramacy and H. Lian*, Bayesian quantile regression for single-index models, Statistics and Computing, 2013, accepted (arxiv link)
  2. Z. P. Hong and H. Lian*, Sparse-smooth regularized singular value decomposition, Journal of Multivariate Analysis, accepted, 2013 (pdf)
  3. H. Lian, H. Liang and L. Wang*, Generalized additive partial linear models for clustered data with diverging number of covariates using GEE, Statistic Sinica, accepted, 2012 
  4. H. Lian, Shrinkage estimation and selection for multiple functional regression, Statistica Sinica, accepted, 2012 (pdf)
  5. H. Lian, Empirical likelihood confidence intervals for nonparametric functional data analysis, Journal of Statistical Planning and Inference, 142(7): 1669-1677, 2012 (arxiv link)
  6. R. Gramacy* and H. Lian, Gaussian process single-index models as emulators for computer experiments, Technometrics, 54(1): 30-41, 2012 (arxiv link)
  7. Z.P. Hong and H. Lian*, Time-varying coefficients estimation in differential equation models with noisy time-varying covariates, Journal of Multivariate Analysis, 103: 58-67, 2012  (pdf)
  8. H. Lian, Variable selection for high-dimensional generalized varying-coefficient models, Statistica Sinica, 22: 1563-1588, 2012. (pdf)
  9. J. Zhang, S. Feng, G. R. Li* and H. Lian, Empirical likelihood inference for partially linear panel data models with fixed effects, Economics Letters, 113(2): 165-167, 2011
  10. Z.P. Hong and H. Lian*, BOPA: A Bayesian hierarchical model for outlier expression detection, Computational Statistics & Data Analysis, 56(12): 4148-4156, 2012 (pdf)
  11. H. Lian, On posterior distribution of Bayesian wavelet thresholding, Journal of Statistical Planning and Inference. 141(1): 318-324, 2011 (arxiv link)
  12. H. Lian, Functional partial linear model, Journal of Nonparametric Statistics, 23(1): 115-128,2011 (pdf)
  13. H. Lian, Shrinkage tuning parameter selection in precision matrices estimation, Journal of Statistical Planning and Inference, 141: 2839-2848, 2011 (pdf)
  14. H. Lian (2010) Sparse hierarchical modeling for high-dimensional clustering problems, Journal of Multivariate Analysis, 101(7): 1728-1737 (pdf)
  15. A. Chopra and H. Lian* (2010), Total variation, adaptive total variation and nonconvex smoothly clipped absolute deviation penalty for denoising blocky images, Pattern Recognition, 43(8):2609-2619 (pdf)
  16. H. Lian (2009) Bayesian nonlinear principal component analysis using random fields, IEEE Trans. Pattern Analysis and Machine Intelligence, 31(4):749-754 (arxiv link)
  17. J. C. Wong, H. Lian and S. A. Cheong*, Detecting macroeconomic phases in the Dow Jones Industrial Average time series, Physica A: Statistical Mechanics and its Applications, 388(21): 4635-4645, 2009
  18. H. Lian (2008), MOST: Detecting cancer differential gene expression, Biostatistics  (pdf)
  19. H. Lian, W. Thompson, R. Thurman, J. Stam*, W. Noble* and C.E. Lawrence* (2008), Automated mapping of chromatin structure in ENCODE, Bioinformatics, 24: 1911-1916 (Link)
  20. H. Lian (2007), On the consistency of Bayesian function approximation using step functions. Neural Computation.
  21. H. Lian (2007), Nonlinear functional models for functional responses in reproducing kernel Hilbert spaces. Canadian Journal of Statistics. (pdf)

            * corresponding author(s)


Conference Publications
  1. H. Lian, Variational local structure estimation for image superresolution, International Conference on Image Processing, Atlanta, USA 2006 (pdf)

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