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Jens Malmros: Studies in respondent-driven sampling-Directed networks, epidemics, and random walks

Time: Wed 2016-06-15 10.00

Location: Room 14, House 5, Kräftriket, Department of Mathematics, Stockholm University

Subject area: Mathematical Statistics

Doctoral student: Jens Malmros, SU , Mathematics

Opponent: Docent Erik Volz, Imperial College, London, UK.

Supervisor: Tom Britton, SU

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Abstract: Respondent-driven sampling (RDS) is a link-tracing sampling methodology especially suitable for sampling hidden populations. A clever sampling mechanism and inferential procedures that facilitate asymptotically unbiased population estimates has contributed to the rising popularity of the method. The papers in this thesis extend RDS estimation theory to some population structures to which the classical RDS estimation framework is not applicable and analyse the behaviour of the RDS recruitment process.