Distance sampling with milder assumptions


   School of Mathematics and Statistics

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  Dr Benjamin Baer, Prof David Borchers  Applications accepted all year round  Competition Funded PhD Project (Students Worldwide)

About the Project

Estimating animal density or abundance is a fundamental challenge in statistical ecology. Distance sampling is a widely employed method for addressing this issue. Recent work has shown that the assumptions underlying distance sampling may be relaxed by leveraging the relative time at which an animal is detected during a survey. There are several avenues for further methodological development, depending on the interest of the applicant. For instance, parametric assumptions could be relaxed; the methods could also be generalized to allow a surveyor’s path to be nonlinear or allow animal movement. Each of these possibilities is motivated by real-world data in need of comprehensive analysis.


Biological Sciences (4) Mathematics (25)

Funding Notes

Fully funded scholarship places (fees, plus stipend of approx. £19,162) are typically available for well-qualified students. UK, EU and other overseas students are all encouraged to apply. Further details of the application and selection procedure are at View Website (pdf - see last page) and View Website.

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