Yichuan Zhao

According to our database1, Yichuan Zhao authored at least 36 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Orthogonality-based bias-corrected empirical likelihood inference for partial linear varying coefficient EV models with longitudinal data.
J. Comput. Appl. Math., June, 2024

Laplace approximated quasi-likelihood method for heteroscedastic survival data.
Comput. Stat. Data Anal., February, 2024

Special issue on "Towards robust explainable and interpretable artificial intelligence".
Evol. Intell., 2024

2020
Nonparametric interval estimation for the mean of a zero-inflated population.
Commun. Stat. Simul. Comput., 2020

Jackknife empirical likelihood inference for the Pietra ratio.
Comput. Stat. Data Anal., 2020

2019
Empirical likelihood inference for semi-parametric transformation models with length-biased sampling.
Comput. Stat. Data Anal., 2019

2018
Smoothed jackknife empirical likelihood for the one-sample difference of quantiles.
Comput. Stat. Data Anal., 2018

2017
Empirical likelihood inference for the bivariate survival function under univariate censoring.
Commun. Stat. Simul. Comput., 2017

Smoothed empirical likelihood for the Youden index.
Comput. Stat. Data Anal., 2017

2015
Smoothed jackknife empirical likelihood inference for ROC curves with missing data.
J. Multivar. Anal., 2015

Jackknife Empirical Likelihood for the Accelerated Failure Time Model with Censored Data.
Commun. Stat. Simul. Comput., 2015

Jackknife empirical likelihood inference for the mean absolute deviation.
Comput. Stat. Data Anal., 2015

2013
Collaborative Data Collection with Opportunistic Network Erasure Coding.
IEEE Trans. Parallel Distributed Syst., 2013

Empirical likelihood for linear transformation models with interval-censored failure time data.
J. Multivar. Anal., 2013

Smoothed jackknife empirical likelihood inference for the difference of ROC curves.
J. Multivar. Anal., 2013

2012
Smoothed empirical likelihood for ROC curves with censored data.
J. Multivar. Anal., 2012

Empirical likelihood inferences for the semiparametric additive isotonic regression.
J. Multivar. Anal., 2012

Inference for Cox's regression models via adjusted empirical likelihood.
Comput. Stat., 2012

Multiclass SVM with ramp loss for imbalanced data classification.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2011
Opportunistic Network Erasure Coding in Disruptive Sensor Networks.
Proceedings of the IEEE 8th International Conference on Mobile Adhoc and Sensor Systems, 2011

2010
Semiparametric inference for transformation models via empirical likelihood.
J. Multivar. Anal., 2010

Additive Risk Analysis of microarray Gene Expression Data via Correlation Principal Component Regression.
J. Bioinform. Comput. Biol., 2010

Data shuffling and statistical analysis on microarray data for gene selection: a comparative study on filtering methods.
Int. J. Funct. Informatics Pers. Medicine, 2010

2009
Empirical likelihood based confidence intervals for copulas.
J. Multivar. Anal., 2009

A comparison of some confidence intervals for the mean quality-adjusted lifetime with censored data.
Comput. Stat. Data Anal., 2009

2008
Recursive Fuzzy Granulation for Gene Subsets Extraction and Cancer Classification.
IEEE Trans. Inf. Technol. Biomed., 2008

Polynomial regression interval-valued fuzzy systems.
Soft Comput., 2008

Empirical Likelihood Based Rank Regression Inference.
Commun. Stat. Simul. Comput., 2008

Analysis of High Dimensional Gene Data Combining Correlation Principal Component Regression and Additive Risk Model.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

2007
Analysis of Longitudinal Data in the Case-Control Studies via Empirical Likelihood.
Commun. Stat. Simul. Comput., 2007

Test-Based Interval Estimation Under the Accelerated Failure Time Model.
Commun. Stat. Simul. Comput., 2007

Weighted empirical likelihood estimates and their robustness properties.
Comput. Stat. Data Anal., 2007

Combining SVM Classifiers Using Genetic Fuzzy Systems Based on AUC for Gene Expression Data Analysis.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

Statistical Genetic Interval-Valued Fuzzy Systems with Prediction in Clinical Trials.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

2006
Statistical analysis of high dimensional gene data.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2005
Statistical interval-valued fuzzy systems via linear regression.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005


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