Data mining based multi-level aggregate service planning for cloud manufacturing C Yu, W Zhang, X Xu, Y Ji, S Yu Journal of Intelligent Manufacturing 29, 1351-1361, 2018 | 40 | 2018 |
nimbleSCR: Spatial Capture-Recapture (SCR) Methods Using 'nimble' R Bischof, D Turek, C Milleret, T Ergon, P Dupont, S Dey, W Zhang, ... https://CRAN.R-project.org/package=nimbleSCR, 2020 | 29 | 2020 |
A flexible and efficient Bayesian implementation of point process models for spatial capture‐recapture data W Zhang, JD Chipperfield, JB Illian, P Dupont, C Milleret, P de Valpine, ... Ecology 104 (1), e3887, 2023 | 22 | 2023 |
Fast likelihood‐based inference for latent count models using the saddlepoint approximation W Zhang, MV Bravington, RM Fewster Biometrics 75 (3), 723-733, 2019 | 10 | 2019 |
On continuous‐time capture‐recapture in closed populations W Zhang, SJ Bonner Biometrics 76 (3), 1028-1033, 2020 | 6 | 2020 |
Maximum likelihood inference for the band-read error model for capture-recapture data with misidentification W Zhang, SJ Price, SJ Bonner Environmental and Ecological Statistics 28, 405-422, 2021 | 4 | 2021 |
Latent multinomial models for extended batch-mark data W Zhang, SJ Bonner, RS McCrea Biometrics 79 (3), 2732-2742, 2023 | 1 | 2023 |
Probability density approximation methods with applications in ecology and population genetics W Zhang PhD Thesis-University of Auckland, 2017 | 1 | 2017 |
On the identifiability of the trinomial model for mark‐recapture‐recovery studies SJ Bonner, W Zhang, J Mu Environmetrics 35 (1), e2827, 2024 | | 2024 |
Stationary distribution of the linkage disequilibrium coefficient r2 W Zhang, J Liu, J Goodman, BS Weir, RM Fewster Theoretical Population Biology 128, 19-26, 2019 | | 2019 |