Workshop on Statistical Ecology and Related Topics

(Sponsored by Indian Statistical Institute and Wildlife Conservation Society, New York)
Indian Statistical Institute, Bangalore
December 8th - December 11th, 2016
Venue: 2nd Floor Auditorium, Main Building


There are many exciting research opportunities in theoretical and applied ecology for statisticians. As a result the field of Statistical Ecology has grown explosively over the last two decades. Yet the uptake of these research problems within India has been very limited. Given the increasing human-induced pressures on India's wildlife and biodiversity, there is a pressing need for auditing India's biodiversity by developing sound methods involving construction of innovative statistical models, designing effective sampling strategies as well as advancing statistical theory.

With this motivation in mind, a workshop on Statistical Ecology with focus on likelihood and Bayesian methods is being organized at the Indian Statistical Institute, Bangalore during December 8-11, 2016. The workshop will feature sessions from some of the leading ecologists, statisticians and conservationists.

Students and researchers interested in quantitative ecology as well as in statistics are encouraged to apply.

Program/Schedule of Workshop details

Prerequisites: Participants must be comfortable with the discussion on statistical methods and concepts in any one of the following basic texts:

  1. Statistical Inference by G. Casella and R. Berger

  2. Ecological Data and Models in R by B. Bolkar

  3. Mathematical Statistics and Data Analysis by J. Rice

  4. Analysis and Management of Animal Populations by B. Williams, J. Nichols and M. Conroy

Local Hospitality: Accommodation and food will be arranged for participants from the evening of 7th December to afternoon of 11th December, 2016.

List of Selected Participants: Click here

Visitor Information:
Reaching Indian Statistical Institute

Organizers: Mohan Delampady, Arjun Gopalaswamy, Ullas Karanth and V.R. Padmawar

This page was last modified on October 26th, 2016.

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