作者missergirl (猫猫)
看板NCTU-STAT99G
标题[演讲公告] 11/5 统计所专题演讲(清大)
时间Fri Nov 5 00:46:30 2010
※ [本文转录自 NCTU-STAT98G 看板 #1CqkCYSp ]
作者: missergirl (猫猫) 看板: NCTU-STAT98G
标题: [演讲公告] 11/5 统计所专题演讲(清大)
时间: Fri Nov 5 00:45:18 2010
各位同仁及同学:
本星期五邀请到Dr. Carl Schwarz 来演讲, 附上演讲内容敬请参考。
Dr. Carl Schwarz 为加拿大Simon Fraser大学统计与精算学系的教授，
目前并担任期刊Journal of Agricultural, Biological and Environmental
Statistics (JABES) 的主编 (Editor), 为生态统计及相关统计推论的领航者，
并且是重复补取实验 (capture-recapture) 应用於鳟鱼的研究上的世界权威，
同时担任许多生态计画的统计谘询顾问。欢迎大家来听讲。赵莲菊敬邀
清华大学、交通大学 统 计 学 研 究 所 专 题 演 讲
题 目: Bayesian Time-Stratified-Petersen Estimators for Abundance
主讲人: Prof. Carl James Schwarz
(Department of Statistics and Actuarial Science,
Simon Fraser University, Canada)
时 间: 99年11月5日（星期五）10：40 - 11：30
（上午10：20-10：40茶会於统计所821室举行）
地 点:
清大综合三馆837室
Abstract
Simple-Petersen or Stratified-Petersen methods are often used to estimate
number of outgoing smolt or returning salmon. These methods are inadequate to
deal with heterogeneity in catchability among strata and with missing data
from strata caused by crew illness, high water flow, or other causes. We
propose a Bayesian spline-based methodology to estimate abundance and
run-timing which provides several compelling advantages over the more
traditional estimators. The hierarchical model for capture probabilities and
the spline model for the general shape of the run curve, allow information to
be shared among stratra within a Bayesian framework and allows great
flexibility to deal with missing data. It is self-calibrating- for strata
with poor data, extensive pooling across strata take place but with strata
with rich data, the information for a particular stratum takes precedence.
The methodology automatically adjust measures of precision for heterogeneity
in catchability among strata (which is ignored in the simple-Petersen) and
shares information from neighbouring strata (unlike the Stratified-Petersen).
Examples from estimating the number of outgoing number of salmon smolt in the
Trinity River, CA will be presented.
敬请公布 欢迎参加
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各位的信箱皆附有演讲相关pdf档，
此演讲地点在清华大学。
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