加入收藏  || English Version 
 
概率统计及其应用系列报告四(二)

  发布日期:2017-10-31  浏览量:2445


学术报告三

报告题目: Semiparametric inference in a genetic mixture model

: 刘玉坤(华东师范大学统计学院副教授)

报告摘要:In genetic backcross studies, data are often collected from complex mixtures of distributions with known mixing proportions. Previous approaches to the inference of these genetic mixture models involve parametrizing the component distributions. However, model misspecification of any form is expected to have detrimental effects. We propose a semiparametric likelihood method for genetic mixture models: the empirical likelihood under the exponential tilting model assumption, in which the log ratio of the probability (density) functions from the components is linear in the observations. Simulation results and a real cancer application indicate that the proposed semiparametric method works much better than parametric methods.

报告时间: 2017115(周日)  16:30-17:15

报告地点: 磬苑校区数学科学学院H306

学术报告四

报告题目: Pairwise distance-based tests for conditional symmetry

: 郭旭(北京师范大学统计学院副教授)

报告摘要:In this paper, we develop a pairwise distance-based testing procedure for conditional symmetry of a random vector given another random vector and apply it to the cases with given and unknown center that is a parametric regression function respectively. The resulting test is moments-based and thus the curse of dimensionality can be greatly alleviated. The asymptotic properties shows that the test statistic can converge to the corresponding weal limit under the null hypothesis at the rate of order n^-1. The test can detect local alternatives distinct from the null at parametric convergence rate. To determine critical values, a Monte Carlo-based approximation to the limiting null distribution is suggested. We prove that the approximation works even under local alternative hypothesis. Some simulation studies and a real data example are conducted to examine the performance of the test.

报告时间: 2017115(周日)  17:15-18:00

报告地点: 磬苑校区数学科学学院H306

 

欢迎各位老师、同学届时前往!

                                              数学科学学院

                                           2017111

 

专家简介:

刘玉坤, 华东师范大学统计学院副教授、博士生导师。2009年于南开大学获统计学博士学位,先后在加拿大不列颠哥伦比亚大学、加拿大滑铁卢大学、香港大学交流访问。研究兴趣为经验似然、密度比模型、病例对照数据分析、捕获再捕获数据分析、有限混合模型、小域估计、缺失数据、非参数和半参数统计等。现担任Statistical Theory and Related Fields Journal of Applied Statistics 的副主编。主持国家自然科学基金面上项目两项、青年基金项目一项。在统计学顶级国际期刊Journal of the American Statistical AssociationThe Annals of StatisticsBiometrika及统计学主流期刊TechnometricsStatistics and Its InterfaceJournal of Multivariate AnalysisJournal of Statistical Planning and Inference等上发表论文近30篇。

郭旭,北京师范大学统计学院副教授,硕士生导师,2014年于香港浸会大学获统计学博士学位。研究方向为模型检验、高维数据分析、不确定下的行为决策、缺失数据分析等。现担任ESCI收录期刊Annals of Financial EconomicsEconLit收录期刊Theoretical Economics Letters的副主编,美国《Mathematical Review》评论员,多个统计学和经济学期刊的审稿人。在统计学顶级期刊Journal of the Royal Statistical Society: Series BBiometrika,统计学主流期刊Statistics and ComputingJournal of Multivariate AnalysisComputational Statistics & Data Analysis和经济学主流期刊 Insurance: Mathematics and EconomicsNorth American Journal of Economics and FinanceEconomics LettersEconomic ModellingSCISSCI期刊发表论文近30篇。

返回】【打印此页】【顶部】【关闭
   
版权所有 © 2007-2017 安徽大学数学科学学院 All rights reserved 皖ICP备05018241号
地址:安徽省合肥市九龙路111号安徽大学磬苑校区理工楼H楼 邮编:230601 E-mail:math@ahu.edu.cn
访问统计:自2013年9月1日以来总访问:987216 昨日访问:1477 今日访问:149  后台管理