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Publications by Jiahua Chen

2014

Liu Y, Chen J, Li T. Level-specific correction for nonparametric likelihoods. Journal of Nonparametric Statistics. Taylor & Francis; 2014; 26: 433–449.

2013

Chen J, Liu Y. Quantile and quantile-function estimations under density ratio model. The Annals of Statistics. Institute of Mathematical Statistics; 2013; 41: 1669–1692.
Cai S, Chen J, Zidek JV. Hypothesis testing in the presence of multiple samples under density ratio models. arXiv preprint arXiv:1309.4740. 2013;.
Zou W, Chen J. A Markov regime-switching model for crude-oil markets: Comparison of composite likelihood and full likelihood. Canadian Journal of Statistics. John Wiley & Sons, Inc.; 2013; 41: 353–367.
Chen J. A partial order on uncertainty and information. Journal of Theoretical Probability. Springer US; 2013; 26: 349–359.
Chen J, Li P. MixtureInf-package. Inference for Finite Mixture Models. 2013. p. 2.
Xu C, Chen J, Mantell H. Pseudo-likelihood-based Bayesian information criterion for variable selection in survey data. Survey Methodology. 2013; 39: 303–322.
Chen J, Huang Y. Finite-sample properties of the adjusted empirical likelihood. Journal of Nonparametric Statistics. Taylor & Francis; 2013; 25: 147–159.

2012

Chen J, Li P, Fu Y. Inference on the order of a normal mixture. Journal of the American Statistical Association. Taylor & Francis Group; 2012; 107: 1096–1105.
Chen J, Chen Z. Extended BIC for small-n-large-P sparse GLM. Statistica Sinica. 2012; 22: 555.
Chen H, Chen J, Chen S-Y. Confidence intervals for the mean of a population containing many zero values under unequal probability sampling 511: Y. Quality Control and Applied Statistics. 2012; 57: 77.
Shangari D, Chen J. Partial monotonicity of entropy measures. Statistics & Probability Letters. North-Holland; 2012; 82: 1935–1940.
Li P, Chen J. Testing the order of a finite mixture. Journal of the American Statistical Association. Taylor & Francis; 2012;.
Chen J, Liu Y. Adjusted empirical likelihood with high-order one-sided coverage precision. Statistics and its Interface. 2012; 5: 281–292.
Chen J, Khalili A. ORDER SELECTION IN FINITE MIXTURE MODELS. Journal of the American Statistical Association. 2012; 103.

2011

Chen J. Advances in EM-test for Finite Mixture Models. International Workshop on Perspectives on High-dimensional Data Analysis. 2011;.
Carrillo IA, Chen J, Wu C. A pseudo-GEE approach to analyzing longitudinal surveys under imputation for missing responses. Journal of Official Statistics. 2011; 27: 255.
Chen J, Li P. The Limiting Distribution of the EM Test of the Order of a Finite Mixture. Mixtures: Estimation and Applications. John Wiley & Sons, Ltd; 2011;: 55–75.
S Ahmed E, Song PXK, Zhu M, Alquier P, Beran R, Chen J, et al. International Workshop on Perspectives on High-dimensional Data Analysis. International Workshop on Perspectives on High-dimensional Data Analysis. 2011;.
Chen J, Li P. Tuning the EM-test for finite mixture models. Canadian Journal of Statistics. John Wiley & Sons, Inc.; 2011; 39: 389–404.
Khalili A, Chen J, Lin S. Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space. Biostatistics. Oxford University Press; 2011; 12: 156–172.
Cadigan NG, Chen J. Kernel regression estimators for non parametric model calibration in survey sampling. Quality control and applied statistics. Executive Sciences Institute; 2011; 56: 59–60.
Li X, Chen J, Wu Y, Tu D. Constructing nonparametric likelihood confidence regions with high order precisions. Statistica Sinica. 2011; 21: 1767.

2010

Carrillo IA, Chen J, Wu C. The pseudo-GEE approach to the analysis of longitudinal surveys. Canadian Journal of Statistics. Wiley Online Library; 2010; 38: 540–554.
Chen H, Chen J, Chen S-Y. Confidence intervals for the mean of a population containing many zero values under unequal-probability sampling. Canadian Journal of Statistics. John Wiley & Sons, Inc.; 2010; 38: 582–597.
Chen J, van Eeden C, Zidek J. Uncertainty and the conditional variance. Statistics & probability letters. North-Holland; 2010; 80: 1764–1770.
Liu Y, Chen J. Adjusted empirical likelihood with high-order precision. The Annals of Statistics. Institute of Mathematical Statistics; 2010; 38: 1341–1362.
Cadigan NG, Chen J. Kernel regression estimators for nonparametric model calibration in survey sampling. Journal of Statistical Theory and Practice. Taylor & Francis Group; 2010; 4: 1–25.
Variyath AMulayath, Chen J, Abraham B. Empirical likelihood based variable selection. Journal of Statistical Planning and Inference. Elsevier; 2010; 140: 971–981.

2009

Li P, Chen J, Marriott P. Non-finite Fisher information and homogeneity: an EM approach. Biometrika. Oxford University Press; 2009;: asp011.
Chen J, Tan X. Inference for multivariate normal mixtures. Journal of Multivariate Analysis. Elsevier; 2009; 100: 1367–1383.
Zhu H, Zhou H, Chen J, Li Y, Lieberman J, Styner M. Adjusted exponentially tilted likelihood with applications to brain morphology. Biometrics. Blackwell Publishing Inc; 2009; 65: 919–927.
Fu Y, Chen J, Kalbfleisch JD. Modified likelihood ratio test for homogeneity in a two-sample problem. Statistica Sinica. 2009; 19: 1603.
Chen J, Li P. Hypothesis test for normal mixture models: The EM approach. The Annals of Statistics. Institute of Mathematical Statistics; 2009;: 2523–2542.
Chen Z, Chen J. Tournament screening cum EBIC for feature selection with high-dimensional feature spaces. Science in China Series A: Mathematics. SP Science in China Press; 2009; 52: 1327–1341.

2008

Chen J, Khalili A. Order selection in finite mixture models with a nonsmooth penalty. Journal of the American Statistical Association. 2008; 103.
Fu Y, Chen J, Li P. Modified likelihood ratio test for homogeneity in a mixture of von Mises distributions. Journal of Statistical Planning and Inference. Elsevier; 2008; 138: 667–681.
Chen J, Variyath AMulayath, Abraham B. Adjusted empirical likelihood and its properties. Journal of Computational and Graphical Statistics. Taylor & Francis; 2008; 17: 426–443.
Chen J, Tan X, Zhang R. Inference for normal mixtures in mean and variance. Statistica Sinica. 2008; 18: 443.
Chen J, Li P, Fu Y. Testing homogeneity in a mixture of von Mises distributions with a structural parameter. Canadian Journal of Statistics. Wiley Online Library; 2008; 36: 129–142.
Chen J, Chen Z. Extended Bayesian information criteria for model selection with large model spaces. Biometrika. Biometrika Trust; 2008; 95: 759–771.
Chen J, Qin Y. Test for homogeneity in Hardy–Weinberg normal mixture model. Journal of Statistical Planning and Inference. North-Holland; 2008; 138: 3774–3788.
Pan J, Chen J. U-statistic based modified information criterion for change point problems. Communications in Statistics—Theory and Methods. Taylor & Francis Group; 2008; 37: 2687–2712.

2007

Tan X, Chen J, Zhang R. Consistency of the constrained maximum likelihood estimator in finite normal mixture models. 2007 Proceedings of the American Statistical Association, Section on Statistical Education [CD-ROM]. American Statistical Association, Alexandria, VA. 2007;: 2113–2119.
Feng ZZ, Chen J, Thompson ME. Asymptotic properties of likelihood ratio test statistics in affected-sib-pair analysis. Canadian Journal of Statistics. Wiley Online Library; 2007; 35: 351–364.
Khalili A, Chen J. Variable selection in finite mixture of regression models. Journal of the american Statistical association. 2007; 102.
Chen J, Rao JNK. Asymptotic normality under two-phase sampling designs. Statistica Sinica. C/O DR HC HO, INST STATISTICAL SCIENCE, ACADEMIA SINICA, TAIPEI 115, TAIWAN; 2007; 17: 1047.

2006

Chen J, Gupta AK, Pan J. Information criterion and change point problem for regular models. Sankhy\=a: The Indian Journal of Statistics. JSTOR; 2006;: 252–282.
Chen Z, Chen J, Liu J, Chen Z. A tournament approach to the detection of multiple associations in genome-wide studies with pedigree data. Working Paper 2006-09, www. stats. uwaterloo. ca. Department of Statistics & Actuarial Sciences, University of Waterloo; 2006.
Pan J, Chen J. Application of modified information criterion to multiple change point problems. Journal of multivariate analysis. Elsevier; 2006; 97: 2221–2241.

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