3 citations · 13 across the 16 of their papers we have counts for
17 papers
Design-based individual prediction
Li-Chun Zhang, Danhyang Lee
A design-based individual prediction approach is developed based on the expected cross-validation results, given the sampling design and the sample-splitting design for cross-valid…
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…
Graph sampling by lagged random walk
Li-Chun Zhang
We propose a family of lagged random walk sampling methods in simple undirected graphs, where transition to the next state (i.e. node) depends on both the current and previous stat…
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…
Maximum Entropy classification for record linkage
Danhyang Lee, Li-Chun Zhang, Jae-Kwang Kim
By record linkage one joins records residing in separate files which are believed to be related to the same entity. In this paper we approach record linkage as a classification pro…
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…
Incidence weighting estimation under bipartite incidence graph sampling
Martina Patone, Li-Chun Zhang
Bipartite incidence graph sampling provides a unified representation of many sampling situations for the purpose of estimation, including the existing unconventional sampling metho…
Design-unbiased statistical learning in survey sampling
Luis Sanguiao Sande, Li-Chun Zhang
Design-consistent model-assisted estimation has become the standard practice in survey sampling. However, a general theory is lacking so far, which allows one to incorporate modern…
Snowball sampling from graphs
Melike Oguz-Alper, Li-Chun Zhang
We develop unbiased strategies to probabilistic T-wave snowball sampling from graphs, where the interest of estimation may concern finite-order subgraphs such as triangles, cycles…
Proxy expenditure weights for Consumer Price Index: Audit sampling inference for big data statistics
Li-Chun Zhang
Purchase data from retail chains provide proxy measures of private household expenditure on items that are the most troublesome to collect in the traditional expenditure survey. Du…
On two existing approaches to statistical analysis of social media data
Martina Patone, Li-Chun Zhang
Using social media data for statistical analysis of general population faces commonly two basic obstacles: firstly, social media data are collected for different objects than the p…
On valid descriptive inference from non-probability sample
Li-Chun Zhang
We examine the conditions under which descriptive inference can be based directly on the observed distribution in a non-probability sample, under both the super-population and quas…
Minimal inference from incomplete 2x2-tables
Li-Chun Zhang, Raymond L. Chambers
Estimates based on 2x2 tables of frequencies are widely used in statistical applications. However, in many cases these tables are incomplete in the sense that the data required to…
Tests for price indices in a dynamic item universe
Li-Chun Zhang, Ingvild Johansen, Ragnhild Nygaard
There is generally a need to deal with quality change and new goods in the consumer price index due to the underlying dynamic item universe. Traditionally axiomatic tests are defin…