3 citations · 7 across the 8 of their papers we have counts for
13 papers
Graph sampling for node embedding
Li-Chun Zhang
Node embedding is a central topic in graph representation learning. Computational efficiency and scalability can be challenging to any method that requires full-graph operations. W…
Sampling for network function learning
Li-Chun Zhang
Given a valued graph, where both the nodes and the edges of the graph are associated with one or several values, any network function for a given node must be defined in terms of t…
Graph spatial sampling
Li-Chun Zhang
We develop lagged Metropolis-Hastings walk for sampling from simple undirected graphs according to given stationary sampling probabilities. We explain how to apply the technique to…
On provision of UK neighbourhood population statistics beyond 2021
Li-Chun Zhang
Census 2021 may well be the last of its kind in the UK. For provision of population statistics in the immediate years following 2021, the basic scheme currently envisaged is to sup…
Sampling designs for epidemic prevalence estimation
Li-Chun Zhang
Intuitively, sampling is likely to be more efficient for prevalence estimation, if the cases (or positives) have a relatively higher representation in the sample than in the popula…
Generalised regression estimation given imperfectly matched auxiliary data
Li-Chun Zhang
Generalised regression estimation allows one to make use of available auxiliary information in survey sampling. We develop three types of generalised regression estimator when the…