作者missergirl (貓貓)
看板NCTU-STAT99G
標題[演講公告] 11/5 統計所專題演講(清大)
時間Fri Nov 5 00:46:30 2010
※ [本文轉錄自 NCTU-STAT98G 看板 #1CqkCYSp ]
作者: missergirl (貓貓) 看板: NCTU-STAT98G
標題: [演講公告] 11/5 統計所專題演講(清大)
時間: Fri Nov 5 00:45:18 2010
各位同仁及同學:
本星期五邀請到Dr. Carl Schwarz 來演講, 附上演講內容敬請參考。
Dr. Carl Schwarz 為加拿大Simon Fraser大學統計與精算學系的教授，
目前並擔任期刊Journal of Agricultural, Biological and Environmental
Statistics (JABES) 的主編 (Editor), 為生態統計及相關統計推論的領航者，
並且是重複補取實驗 (capture-recapture) 應用於鱒魚的研究上的世界權威，
同時擔任許多生態計畫的統計諮詢顧問。歡迎大家來聽講。趙蓮菊敬邀
清華大學、交通大學 統 計 學 研 究 所 專 題 演 講
題 目: Bayesian Time-Stratified-Petersen Estimators for Abundance
主講人: Prof. Carl James Schwarz
(Department of Statistics and Actuarial Science,
Simon Fraser University, Canada)
時 間: 99年11月5日（星期五）10：40 - 11：30
（上午10：20-10：40茶會於統計所821室舉行）
地 點:
清大綜合三館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.
敬請公佈 歡迎參加
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各位的信箱皆附有演講相關pdf檔，
此演講地點在清華大學。
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