Kyle Vincent

Bank of Canada

“Estimating Population Size with Adaptive Sampling in Hard-to-Reach Populations”

Date: Thursday, October 9, 2014

Hard-to-reach populations are typically not covered by a sampling frame thereby making recruitment a difficult task. Consequently, conventional methods of sampling can lead to unreliable estimators of population quantities. Instead, adaptive (link-tracing) sampling can be used to study such populations as social links of individuals can be exploited to adaptively select units for the sample. An abundance of literature on estimation of population quantities exists for when the population size is known. However, strategies that can be used to study populations when the size is unknown have yet to be adequately explored. In this talk two adaptive sampling-based strategies for estimating the size and attributes of hard-to-reach populations are presented. The first strategy is based on a model-based approach to inference and the second strategy is based on a design-based approach to inference. Simulation results from applying the two strategies to an empirical data set based on a drug-using population at risk for HIV/AIDS is presented.

Important Dates

March 20: Start of Summer term registration

March 30: Good Friday (University Closed)

April 1: Easter Sunday (University Closed)

Upcoming Seminars

Statistics seminar: Forough Khadem — Thursday, March 22 at 2:45 p.m., 301 Biological Sciences.

PIMS lecture: Troy Day — Thursday, March 22 at 4 p.m., Robert Schultz Theatre.

Statistics seminar: Iraj Yadegari — Thursday, April 5 at 2:45 p.m..

Where are they now?

Wan-Chen Lee, Ph.D. (2014)

Jeffrey Alan Sloan, Ph.D. (1991)