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
Multi-Parameter One-Sided Monitoring Tests. Technometrics. 2018;60:398–407. .
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;. .
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
Likelihood Ratio Test for Multi-Sample Mixture Model and Its Application to Genetic Imprinting. Journal of the American Statistical Association. 2015;110:867–877. .
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. .
2014
Level-specific correction for nonparametric likelihoods. Journal of Nonparametric Statistics. Taylor & Francis; 2014;26:433–449. .
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. .
2013
Pseudo-likelihood-based Bayesian information criterion for variable selection in survey data. Survey Methodology. 2013;39:303–322. .
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. .
2012
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. .
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. .
2011
Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space. Biostatistics. Oxford University Press; 2011;12:156–172. .
Kernel regression estimators for non parametric model calibration in survey sampling. Quality control and applied statistics. Executive Sciences Institute; 2011;56:59–60. .
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. .