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Publications by Jiahua Chen

2021

Zhang Q, Chen J. Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures. arXiv preprint arXiv:2107.01323. 2021;.
Chen J, Li P, Qin J, Yu T. Test for homogeneity with unordered paired observations. Electronic Journal of Statistics. Institute of Mathematical Statistics and Bernoulli Society; 2021; 15: 1661–1694.
Chen J, Li P, Liu Y, Zidek JV. Composite empirical likelihood for multisample clustered data. Journal of Nonparametric Statistics. Taylor & Francis; 2021; 33: 60–81.
Zhang AGong, Chen J. Density ratio model with data-adaptive basis function. arXiv preprint arXiv:2103.03445. 2021;.

2020

Chen J, Li P, Liu G. Homogeneity testing under finite location-scale mixtures. Canadian Journal of Statistics. John Wiley & Sons, Inc. Hoboken, USA; 2020; 48: 670–684.
Chen J, Liu Y, Taylor C, Zidek J. Permutation tests under a rotating sampling plan with clustered data. arXiv preprint arXiv:2004.13892. 2020;.
Yang Z, Chen J. Small area mean estimation after effect clustering. Journal of Applied Statistics. Taylor & Francis; 2020; 47: 602–623.
Zhang Q, Chen J. A Unified Framework for Gaussian Mixture Reduction with Composite Transportation Distance. arXiv preprint arXiv:2002.08410. 2020;.
Zhang AGong, Zhu G, Chen J. Empirical Likelihood Ratio Test on quantiles under a Density Ratio Model. arXiv preprint arXiv:2007.10586. 2020;.
Yu X, Li S, Chen J. A three-parameter logistic regression model. Statistical Theory and Related Fields. Taylor & Francis; 2020;: 1–10.
Zhang Q, Chen J. Distributed Learning of Finite Gaussian Mixtures. arXiv preprint arXiv:2010.10412. 2020;.

2019

Chen Z, Chen J, Zhang Q. Small area quantile estimation via spline regression and empirical likelihood. Survey Methodology 45-1. 2019; 45: 81–99.
Zhu G, Chen J. Multi-parameter One-Sided Monitoring Tests. Technometrics [Internet]. 2019; 60. URL: 10.1093/biomet/asy068
Zhuang WW, Hu B, Chen J. Semiparametric inference for the dominance index under the density ratio model. Biometrika. 2019; 106: 229–241.
Chen J, Liu Y. Small area quantile estimation. International Statistical Review. 2019; 87: S219–S238.
Chen J, Feng Z. A discussion of ‘prior-based Bayesian information criterion’. Statistical Theory and Related Fields. 2019;: 1–3.

2018

Zhu G, Chen J. Multi-Parameter One-Sided Monitoring Tests. Technometrics. 2018; 60: 398–407.
Cai S, Chen J. Empirical likelihood inference for multiple censored samples. Canadian Journal of Statistics. 2018; 46: 212–232.
Cai S, Chen J. Empirical likelihood inference for multiple censored samples. The Canadian Journal of Statistics. 2018; 46: 232.

2017

Chen J. Consistency of the MLE under mixture models. Statistical Science. Institute of Mathematical Statistics; 2017; 32: 47–63.
Cai S, Chen J, Zidek JV. Hypothesis testing in the presence of multiple samples under density ratio models. Statistica Sinica. 2017; 27: 716–783.
Chen J. On finite mixture models. Statistical Theory and Related Fields. Taylor & Francis; 2017; 1: 15–27.
Khalili A, Chen J, . Regularization in regime-switching Gaussian autoregressive models. The Canadian Journal of Statistics. 2017; 45: 374.

2016

Chen J, Li P, Liu Y, Zidek JV. Monitoring test under nonparametric random effects model. arXiv preprint arXiv:1610.05809. 2016;.
Chen J, Li S, Tan X. Consistency of the penalized MLE for two-parameter gamma mixture models. Science China Mathematics. 2016; 59: 2301–2318.
Chen J, Huang Y, Wang P. Composite likelihood under hidden Markov model. Statistica Sinica. C/O DR HC HO, INST STATISTICAL SCIENCE, ACADEMIA SINICA, TAIPEI 115, TAIWAN; 2016; 26: 1569–1586.
Yu X, Chen J, Brant R. Sequential design for binary dose–response experiments. Journal of Statistical Planning and Inference. 2016; 177: 64–73.
Chen J, Li S, Tan X. Consistency of the penalized MLE for two-parameter gamma mixture models. Science China Mathematics. Science China Press; 2016; 59: 2301–2318.
Chen J, Li P, Liu Y, Zidek JV. Monitoring test under nonparametric random effects model. arXiv preprint arXiv:1610.05809. 2016;.
Yu X, Chen J, Brant R. Sequential design for binary dose–response experiments. Journal of Statistical Planning and Inference. North-Holland; 2016; 177: 64–73.
Chen J, Huang Y, Wang P. Composite likelihood under hidden Markov model. Statistica Sinica. 2016; 26: 1569–1586.
Chen J, Li P. Testing the Order of a Normal Mixture in Mean. Communications in Mathematics and Statistics. Springer Berlin Heidelberg; 2016; 4: 21–38.
Chen J. Consistency of the MLE under mixture models. arXiv preprint arXiv:1607.01251. 2016;.
Chen J, Li P. Testing the Order of a Normal Mixture in Mean. Communications in Mathematics and Statistics. 2016; 4: 21–38.
Chen J, Li P, Liu Y. Sample-size calculation for tests of homogeneity. Canadian Journal of Statistics. 2016; 44: 82–101.
Cai S, Chen J. Empirical Likelihood Inference Under Density Ratio Models Based on Type I Censored Samples: Hypothesis Testing and Quantile Estimation. In Advanced Statistical Methods in Data Science. Springer Singapore; 2016. pp. 123–151.
Khalili A, Chen J, Stephens DA. Regularization in Regime-Switching Gaussian Autoregressive Models. In Advanced Statistical Methods in Data Science. Springer Singapore; 2016. pp. 13–34.

2015

Chen J. The joy of proofs in statistical research. Canadian Journal of Statistics. 2015; 43: 481–497.
Xu C, Chen J. A Thresholding Algorithm for Order Selection in Finite Mixture Models. Communications in Statistics-Simulation and Computation. Taylor & Francis; 2015; 44: 433–453.
Wang L, Chen J, Pu X. Resampling calibrated adjusted empirical likelihood. Canadian Journal of Statistics. 2015; 43: 42–59.
Li S, Chen J, Guo J, Jing B-Y, Tsang S-Y, Xue H. Likelihood Ratio Test for Multi-Sample Mixture Model and Its Application to Genetic Imprinting. Journal of the American Statistical Association. 2015; 110: 867–877.

2014

Xu C, Chen J. The Sparse MLE for Ultrahigh-Dimensional Feature Screening. Journal of the American Statistical Association. Taylor & Francis; 2014; 109: 1257–1269.
Li S, Chen J, Guo J, Jing B-Y, Tsang S-Y, Xue H. Likelihood Ratio Test for Multi-Sample Mixture Model and its Application to Genetic Imprinting. Journal of the American Statistical Association. Taylor & Francis; 2014;: 00–00.
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, Huang Y. Finite-sample properties of the adjusted empirical likelihood. Journal of Nonparametric Statistics. Taylor & Francis; 2013; 25: 147–159.
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;.

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