3 citations · 13 across the 16 of their papers we have counts for
6 papers · 1 filter
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…