亚洲人口研究中心学术研讨会活动——基于贝叶斯方法进行人口预测

创建时间:  2017-10-21  吴颖机   浏览次数:   返回

<span id="dnn_ctr41022_ArtDetail_lblArticle" class="ArticleContent"> </span>
<div align="center"><span id="dnn_ctr41022_ArtDetail_lblArticle" class="ArticleContent">
<div style="LINE-HEIGHT: 150%; TEXT-INDENT: 21pt"><img src="data:image/jpeg;base64,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" alt="" /></div>
</span></div>
<span id="dnn_ctr41022_ArtDetail_lblArticle" class="ArticleContent">
<div style="LINE-HEIGHT: 150%; TEXT-INDENT: 21pt">2017年9月26日下午,亚洲人口研究中心举办的学术研讨会,北京大学光华管理学院副教授张俊妮与新西兰统计局高级研究员John  Bryant受邀参加了会议,并进行了题为"Bayesian demographic estimation and  forecasting"的主题演讲。</div>
<div style="LINE-HEIGHT: 150%; TEXT-INDENT: 21pt">本次研讨会由上海大学亚洲人口研究中心朱宇教授主持,近二十位社会学院师生参与了讨论。经典流派和频率主义在人口统计学等诸多统计领域都占据了主要地位,但同时也在处理一些数据时面临困境。John   Bryant研究员在会议上介绍了贝叶斯方法在处理复杂模型和混合数据时的优势,并通过一个长期的预测研究举例,详细地展示了贝叶斯方法在测量和呈现结果不确定性时的应用,给予人口估计和预测研究一条新的进路。</div>
<div style="LINE-HEIGHT: 150%; TEXT-INDENT: 21pt">介绍结束后,在场师生进行了相关探讨和互动,内容包括向政府政策建言时使用该方法呈现数据的可能性、处理具体问题时运用的细节,以及继续学习该方法的途径等。本次研讨持续近两个小时,内容充实而深刻。通过对前沿的人口统计技术的了解,在场师生在人口研究和数据呈现方面获得了新思路,获益良多。(孙亮亮)</div>
</span>

上一条:亚洲人口研究中心开展教师学生学术研讨会

下一条:社会学院人口研究所暨亚洲人口研究中心蒋耒文教授一行参加美国人口学年会

版权所有 © 上海大学   沪ICP备09014157   沪公网安备31009102000049号  地址:上海市宝山区上大路99号    邮编:200444   电话查询
 技术支持:上海大学信息化工作办公室   联系我们