Publications by Jiahua Chen
In Press
. Multi-parameter One-Sided Monitoring Tests. Technometrics. In Press;.
2019
. Small area quantile estimation. International Statistical Review. 2019;87:S219–S238.
. A discussion of ‘prior-based Bayesian information criterion’. Statistical Theory and Related Fields. 2019;:1–3.
2018
. Empirical likelihood inference for multiple censored samples. The Canadian Journal of Statistics. 2018;46:232.
. Semiparametric inference for the dominance index under the density ratio model. Biometrika. 2018;.
. Multi-Parameter One-Sided Monitoring Tests. Technometrics. 2018;60:398–407.
2017
. Consistency of the MLE under mixture models. Statistical Science. Institute of Mathematical Statistics; 2017;32:47–63.
. Hypothesis testing in the presence of multiple samples under density ratio models. Statistica Sinica. 2017;27:716–783.
. On finite mixture models. Statistical Theory and Related Fields. Taylor & Francis; 2017;1:15–27.
. Regularization in regime-switching Gaussian autoregressive models. The Canadian Journal of Statistics. 2017;45:374.
2016
. Monitoring test under nonparametric random effects model. arXiv preprint arXiv:1610.05809. 2016;.
. Consistency of the penalized MLE for two-parameter gamma mixture models. Science China Mathematics. 2016;59:2301–2318.
. 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.
. Sequential design for binary dose–response experiments. Journal of Statistical Planning and Inference. 2016;177:64–73.
. Consistency of the penalized MLE for two-parameter gamma mixture models. Science China Mathematics. Science China Press; 2016;59:2301–2318.
. Monitoring test under nonparametric random effects model. arXiv preprint arXiv:1610.05809. 2016;.
. Sequential design for binary dose–response experiments. Journal of Statistical Planning and Inference. North-Holland; 2016;177:64–73.
. Composite likelihood under hidden Markov model. Statistica Sinica. 2016;26:1569–1586.
. Testing the Order of a Normal Mixture in Mean. Communications in Mathematics and Statistics. Springer Berlin Heidelberg; 2016;4:21–38.
. Consistency of the MLE under mixture models. arXiv preprint arXiv:1607.01251. 2016;.
. Testing the Order of a Normal Mixture in Mean. Communications in Mathematics and Statistics. 2016;4:21–38.
. Sample-size calculation for tests of homogeneity. Canadian Journal of Statistics. 2016;44:82–101.
. 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.
. Regularization in Regime-Switching Gaussian Autoregressive Models. In Advanced Statistical Methods in Data Science. Springer Singapore; 2016. pp. 13–34.
2015
. The joy of proofs in statistical research. Canadian Journal of Statistics. 2015;43:481–497.
. A Thresholding Algorithm for Order Selection in Finite Mixture Models. Communications in Statistics-Simulation and Computation. Taylor & Francis; 2015;44:433–453.
. Resampling calibrated adjusted empirical likelihood. Canadian Journal of Statistics. 2015;43:42–59.
. 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
. The Sparse MLE for Ultrahigh-Dimensional Feature Screening. Journal of the American Statistical Association. Taylor & Francis; 2014;109:1257–1269.
. 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.
. Level-specific correction for nonparametric likelihoods. Journal of Nonparametric Statistics. Taylor & Francis; 2014;26:433–449.
2013
. Finite-sample properties of the adjusted empirical likelihood. Journal of Nonparametric Statistics. Taylor & Francis; 2013;25:147–159.
. Quantile and quantile-function estimations under density ratio model. The Annals of Statistics. Institute of Mathematical Statistics; 2013;41:1669–1692.
. Hypothesis testing in the presence of multiple samples under density ratio models. arXiv preprint arXiv:1309.4740. 2013;.
. 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.
. A partial order on uncertainty and information. Journal of Theoretical Probability. Springer US; 2013;26:349–359.
. MixtureInf-package. Inference for Finite Mixture Models. 2013. p. 2.
. Pseudo-likelihood-based Bayesian information criterion for variable selection in survey data. Survey Methodology. 2013;39:303–322.
2012
. Testing the order of a finite mixture. Journal of the American Statistical Association. Taylor & Francis; 2012;.
. Adjusted empirical likelihood with high-order one-sided coverage precision. Statistics and its Interface. 2012;5:281–292.
. ORDER SELECTION IN FINITE MIXTURE MODELS. Journal of the American Statistical Association. 2012;103.
. Inference on the order of a normal mixture. Journal of the American Statistical Association. Taylor & Francis Group; 2012;107:1096–1105.
. Extended BIC for small-n-large-P sparse GLM. Statistica Sinica. 2012;22:555.
. 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.
. Partial monotonicity of entropy measures. Statistics & Probability Letters. North-Holland; 2012;82:1935–1940.
2011
. Constructing nonparametric likelihood confidence regions with high order precisions. Statistica Sinica. 2011;21:1767.
. Advances in EM-test for Finite Mixture Models. International Workshop on Perspectives on High-dimensional Data Analysis. 2011;.
. A pseudo-GEE approach to analyzing longitudinal surveys under imputation for missing responses. Journal of Official Statistics. 2011;27:255.
. 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.
. International Workshop on Perspectives on High-dimensional Data Analysis. International Workshop on Perspectives on High-dimensional Data Analysis. 2011;.