35 citations · 42 across the 9 of their papers we have counts for
10 papers
Bootstrapping multiple systems estimates to account for model selection
Bernard W. Silverman, Lax Chan, Kyle Vincent
Multiple systems estimation using a Poisson loglinear model is a standard approach to quantifying hidden populations where data sources are based on lists of known cases. Informati…
Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges when there are Non-Overlapping Lists
Lax Chan, Bernard W. Silverman, Kyle Vincent
Multiple systems estimation strategies have recently been applied to quantify hard-to-reach populations, particularly when estimating the number of victims of human trafficking and…
Recent Advances on Estimating Population Size with Link-Tracing Sampling
Kyle Vincent
A new approach to estimate population size based on a stratified link-tracing sampling design is presented. The method extends on the Frank and Snijders (1994) approach by allowing…
Rao-Blackwellization to give Improved Estimates in Multi-List Studies
Kyle Vincent
Sufficient statistics are derived for the population size and parameters of commonly used closed population mark-recapture models. Rao-Blackwellization details for improving estima…
A Broadened Approach for Improved Estimation in Survey Sampling
Kyle Vincent, Christopher S. Henry
We introduce a new sufficient statistic for the population parameter vector by allowing for the sampling design to first be selected at random amongst a set of candidate sampling d…
Estimating the size and distribution of networked populations with snowball sampling
Kyle Vincent, Steve Thompson
A new strategy is introduced for estimating population size and networked population characteristics. Sample selection is based on a multi-wave snowball sampling design. A generali…
A New Approach to Inference in Multi-Survey Studies with Unknown Population Size
Kyle Vincent, Saman Muthukumarana
We investigate a Poisson sampling design in the presence of unknown selection probabilities when applied to a population of unknown size for multiple sampling occasions. The fixed-…
A Contribution to the Theory Behind the M0 Capture-Recapture Model: An Improved Estimator
Kyle Vincent
We explore the use of a sufficient statistic based on the identified members that are obtained for samples that are selected under the capture-recapture closed population mod…
A Contribution to the Theory Behind the Capture-Recapture M0 Model: An Improved Estimator
Kyle Vincent
We explore the use of a sufficient statistic based on the data of samples that are selected under the M_0 capture-recapture closed population model (Schwarz and Seber, 1999). A Rao…
Estimating Population Size with Link-Tracing Sampling
Kyle Vincent, Steve Thompson
We present a new design and inference method for estimating population size of a hidden population best reached through a link-tracing design. The strategy involves the Rao-Blackwe…