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Faming Liang
Faming Liang
Professor of Statistics, Purdue University
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
The multiple-try method and local optimization in Metropolis sampling
JS Liu, F Liang, WH Wong
Journal of the American Statistical Association 95 (449), 121-134, 2000
4982000
Advanced Markov chain Monte Carlo methods: learning from past samples
F Liang, C Liu, R Carroll
John Wiley & Sons, 2011
3622011
Evolutionary Monte Carlo for protein folding simulations
F Liang, WH Wong
The Journal of Chemical Physics 115 (7), 3374-3380, 2001
2732001
Real-parameter evolutionary Monte Carlo with applications to Bayesian mixture models
F Liang, WH Wong
Journal of the American Statistical Association 96 (454), 653-666, 2001
2722001
Stochastic approximation in Monte Carlo computation
F Liang, C Liu, RJ Carroll
Journal of the American Statistical Association 102 (477), 305-320, 2007
2632007
EVOLUTIONARY MONTE CARLO: APPLICATIONS TO C p MODEL SAMPLING AND CHANGE POINT PROBLEM
F Liang, WH Wong
Statistica sinica, 317-342, 2000
2122000
Crash injury severity analysis using Bayesian ordered probit models
Y Xie, Y Zhang, F Liang
Journal of Transportation Engineering 135 (1), 18-25, 2009
2052009
A double Metropolis–Hastings sampler for spatial models with intractable normalizing constants
F Liang
Journal of Statistical Computation and Simulation 80 (9), 1007-1022, 2010
1762010
Comprehensive computational pathological image analysis predicts lung cancer prognosis
X Luo, X Zang, L Yang, J Huang, F Liang, J Rodriguez-Canales, ...
Journal of Thoracic Oncology 12 (3), 501-509, 2017
1382017
Dynamic weighting in Monte Carlo and optimization
WH Wong, F Liang
Proceedings of the National Academy of Sciences 94 (26), 14220-14224, 1997
1191997
Bayesian neural networks for nonlinear time series forecasting
F Liang
Statistics and computing 15, 13-29, 2005
1132005
Estimating uncertainty of streamflow simulation using Bayesian neural networks
X Zhang, F Liang, R Srinivasan, M Van Liew
Water resources research 45 (2), 2009
862009
Bayesian subset modeling for high-dimensional generalized linear models
F Liang, Q Song, K Yu
Journal of the American Statistical Association 108 (502), 589-606, 2013
812013
A resampling-based stochastic approximation method for analysis of large geostatistical data
F Liang, Y Cheng, Q Song, J Park, P Yang
Journal of the American Statistical Association 108 (501), 325-339, 2013
762013
A split-and-merge Bayesian variable selection approach for ultrahigh dimensional regression
Q Song, F Liang
Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2015
692015
Markov chain Monte Carlo: innovations and applications
WS Kendall, F Liang, JS Wang
World Scientific, 2005
692005
Enhanced construction of gene regulatory networks using hub gene information
D Yu, J Lim, X Wang, F Liang, G Xiao
BMC bioinformatics 18 (1), 1-20, 2017
672017
Nearly optimal Bayesian shrinkage for high dimensional regression
Q Song, F Liang
arXiv preprint arXiv:1712.08964, 2017
662017
A generalized Wang–Landau algorithm for Monte Carlo computation
F Liang
Journal of the American Statistical Association 100 (472), 1311-1327, 2005
662005
Annealing contour Monte Carlo algorithm for structure optimization in an off-lattice protein model
F Liang
The Journal of chemical physics 120 (14), 6756-6763, 2004
662004
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