科研成果 |
<p> 承担的项目<br>主持的国家自然科学基金项目<br>1. 多元统计中参数估计的容许性(19401020);<br>2. 信仰推断及其应用(10271013);<br>3. 非参数和半参数Fiducial推断(10771015);<br>4. 统计假设检验的p-值(11071015);<br>5. 基于似然函数的统计推断(11471035)。<br>参加的国家自然科学基金项目<br>1. 统计决策和小样本推断中的几个问题(19871088);<br>2. Sieve似然比与小样本条件推断理论研究(10071090);<br>3. 高维数据降维的若干前沿问题研究(11471030)。 <br>主持的其他项目<br>1. 线性回归系统中的参数估计,山东省自然科学基金;<br>2. 统计中的条件推断,国家自然科学博士后基金。<br><br>学术论文<br>[10] Yuanyuan Jiang and Xingzhong Xu, Testing the skewness of skew-normal distribution by Bayes factors, Journal of Statistical Planning and Inference, 2022, 220: 24-48.<br>[9] Zhendong Wang and Xingzhong Xu, Testing high dimensional covariance matrices via posterior Bayes factor, Journal of Multivariate Analysis, 2021, 181, Article Number 104674.<br>[8] Zhendong Wang & Xingzhong Xu, Calibration of posterior predictive p-values for model checking, Journal of Statistical Computation and Simulation, 2021, 91(6):1212-1242. <br>[7] Zhendong Wang and Xingzhong Xu, High-dimensional sphericity test by extended likelihood ratio, Metrika, 2021, 84:1169-1212. <br>[6] Yuqi Long and Xingzhong Xu, Bayesian decision rules to classification problems, Australian & New Zealand Journal of Statistics, 2021, 63(2): 394-415. <br>[5] Wang Rui, Xu, Xingzhong, A Bayesian-motivated test for high-dimensional linear regression models with fixed design matrix, Statistical papers, 2021, 62:1821-1852. <br>[4] Wang Rui, Xu Xingzhong, Least favorable direction test for multivariate analysis of variance in high dimension. Statistica Sinica, 2021, 31:1-24. <br>[3] Mingxiang Cao, Peng Sun, Daojiang He, Rui Wang and Xingzhong Xu, A test on linear hypothesis of k-sample means in high-dimensional data, Statistics and Its Interface, 2020, 13:27-36. <br>[2] Wang Rui, Xu Xingzhong, A feasible high dimensional randomization test for the mean vector, Journal of Statistical Planning and Inference, 2019, 199:160-178. <br>[1] Wang Rui, Xu Xingzhong, On two-sample mean tests under spiked covariances, Journal of Multivariate Analysis, 2018, 167:225-249. <br><br></p> |
科研项目 |
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