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01/22/2023
Design-based individual prediction
A design-based individual prediction approach is developed based on the ...
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10/19/2022
Graph sampling for node embedding
Node embedding is a central topic in graph representation learning. Comp...
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03/22/2022
Graph spatial sampling
We develop lagged Metropolis-Hastings walk for sampling from simple undi...
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11/04/2021
On provision of UK neighbourhood population statistics beyond 2021
Census 2021 may well be the last of its kind in the UK. For provision of...
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10/07/2021
Graph sampling by lagged random walk
We propose a family of lagged random walk sampling methods in simple und...
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11/11/2020
Sampling designs for epidemic prevalence estimation
Intuitively, sampling is likely to be more efficient for prevalence esti...
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09/30/2020
Maximum Entropy classification for record linkage
By record linkage one joins records residing in separate files which are...
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05/19/2020
Generalised regression estimation given imperfectly matched auxiliary data
Generalised regression estimation allows one to make use of available au...
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04/08/2020
Incidence weighting estimation under bipartite incidence graph sampling
Bipartite incidence graph sampling provides a unified representation of ...
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03/25/2020
Design-unbiased statistical learning in survey sampling
Design-consistent model-assisted estimation has become the standard prac...
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03/20/2020
BIG sampling
Graph sampling is a statistical approach to study real graphs, which rep...
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06/15/2019
Proxy expenditure weights for Consumer Price Index: Audit sampling inference for big data statistics
Purchase data from retail chains provide proxy measures of private house...
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05/02/2019
On two existing approaches to statistical analysis of social media data
Using social media data for statistical analysis of general population f...
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10/01/2018
On valid descriptive inference from non-probability sample
We examine the conditions under which descriptive inference can be based...
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08/30/2018
