JSM Activity #295

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Activity ID:  295
Title Room
* Bayesian Methods in Wildlife and Environmental Studies H-Walton
Date / Time Sponsor Type
08/08/2001    2:00 PM  -  3:50 PM Section on Bayesian Stat. Sciences*, Section on Statistics & the Environment*, ENAR Topic Contributed
Organizer: Dongchu Sun, University of Missouri-Columbia
Chair: Steven Sheriff, Missouri Department of Conservation
Discussant:  
Floor Discussion 3:45 PM
Description

Bayesian analysis has showed great promise in wildlife and environmental studies. The session includes 5 speakers. The first two are proposing new methods for capture-recapture models. The third speaker showed new methods for nest success models with left-trancated and right censoring data. The last two speakers are developing new methods for modeling spatio-temporal interaction from sampling survey. The new methods will have potential being used in many other environmental studies.
  300931  By:  Sujit Ghosh 2:05 PM 08/08/2001
Bayesian Capture-Recapture Analysis Allowing for Heterogeneity Between Animals

  300718  By:  Xiaoyin Wang 2:25 PM 08/08/2001
Bayesian Analyses for a Capture-Recapture Model with Time Variation

  300634  By:  Zhuoqiong He 2:45 PM 08/08/2001
Bayesian Estimation of Age-specific Nest Survival Based on Double Interval Censored and Truncated Data

  301141  By:  J. Andy  Royle 3:05 PM 08/08/2001
Bayesian Analysis of Capture-Recapture Data from Constant-effort Mist-Netting Studies

  300836  By:  Jacob Oleson 3:25 PM 08/08/2001
Estimation of Hunting Success Rates with Spatial Correlations and Daily Effects

JSM 2001

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Revised March 2001