Publications by Jiahua Chen
Submitted
https://link.springer.com/book/10.1007/978-981-99-6141-2 . [Internet]. Springer; Submitted. URL:
2023
Statistical inference under mixture models. Springer-ICSA. 2023. .
Gaussian mixture reduction with composite transportation divergence. IEEE Transactions on Information Theory. 2023;. DOI: doi.org/10.1109/TIT.2023.3323346 .
2022
Permutation tests under a rotating sampling plan with clustered data. Ann. Appl. Statist. 2022; 16: 936-958. DOI: 10.1214/21-AOAS1526 .
Density ratio model with data-adaptive basis function. Journal of Multivariate Analysis. 2022; 191. .
Distributed learning of finite Gaussian mixtures. Journal of Machine Learning Research [Internet]. 2022; 23: 1-40. URL: \urlhttp://jmlr.org/papers/v23/21-0093.html .
Consistency of the MLE under a two-parameter gamma mixture model with a structural shape parameter. Metrika [Internet]. 2022; ?? URL: https://doi.org/10.1007/s00184-021-00856-9 .
Consistency of the MLE under two-parameter mixture models with a structural scale parameter. Advances in Data Analysis and Classification [Internet]. 2022; 16: 125-154. URL: http://doi.org/10.1007/s11634-021-00472-5 .
2021
Empirical likelihood ratio test on quantiles under a density ratio model. Electronic Journal of Statistics [Internet]. 2021; 15(2): 6191-6227. URL: https://doi.org/10.1214/21-EJS1943 .
Test for homogeneity with unordered paired observations. Electronic Journal of Statistics. Institute of Mathematical Statistics and Bernoulli Society; 2021; 15: 1661–1694. .
Composite empirical likelihood for multisample clustered data. Journal of Nonparametric Statistics. Taylor & Francis; 2021; 33: 60–81. .
Minimum Wasserstein Distance Estimator under Finite Location-scale Mixtures. arXiv preprint arXiv:2107.01323. 2021;. .
Monitoring test under nonparametric random effects model. Journal of Nonparametric Statistics [Internet]. 2021; 33: 60-81. URL: https://doi.org/10.1080/10485252.2021.1914337 .
2020
Homogeneity testing under finite location-scale mixtures. Canadian Journal of Statistics. John Wiley & Sons, Inc. Hoboken, USA; 2020; 48: 670–684. .
Small area mean estimation after effect clustering. Journal of Applied Statistics. Taylor & Francis; 2020; 47: 602–623. .
A three-parameter logistic regression model. Statistical Theory and Related Fields. Taylor & Francis; 2020;: 1–10. .
2019
Small area quantile estimation via spline regression and empirical likelihood. Survey Methodology 45-1. 2019; 45: 81–99. .
Semiparametric inference for the dominance index under the density ratio model. Biometrika. 2019; 106: 229–241. .
Multi-parameter One-Sided Monitoring Tests. Technometrics [Internet]. 2019; 60. URL: 10.1093/biomet/asy068 .
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. Canadian Journal of Statistics. 2018; 46: 212–232. .
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. .