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Showing results 943 to 962 of 2019
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Title
Author(s)
Issue Date
A k-sample test with interval censored data
Journal:
Biometrika
Yuen, KC
Shi, J
Zhu, L
2006
Kendall's tau and agglomerative clustering for structure determination of hierarchical Archimedean copulas
Journal:
Dependence Modeling
Górecki, J.
Hofert, M.
Holeňa, M.
2017
Kernel method for the estimation of the distribution function and the mean with auxiliary information in ranked set sampling
Journal:
Environmetrics
Lam, KF
Yu, PLH
Lee, CF
2002
Kernel-based adaptive randomization toward balance in continuous and discrete covariates
Journal:
Statistica Sinica
Jiang, F
Ma, Y
Yin, G
2018
Knowledge management perspective on e-learning effectiveness
Journal:
Knowledge-Based Systems
Lau, Adela
Tsui, Eric
2009
Knowledge, attitude, and behaviour toward antibiotics among Hong Kong people: local-born versus immigrants
Journal:
Hong Kong Medical Journal
Lam, TP
Lam, KF
Ho, PL
Yung, WHR
2015
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Journal:
IEEE Transactions on Medical Imaging
Yan, Rui
Qu, Liangqiong
Wei, Qingyue
Huang, Shih Cheng
Shen, Liyue
Rubin, Daniel
Xing, Lei
Zhou, Yuyin
2022
Lack of effect of bilateral removal of accessory sex glands on sexual behaviour in the male golden hamster (Mesocricetus auratus)
Journal:
Physiology and Behavior
Chow, PH
Ng, KW
Pang, SF
1996
Lack-of-fit Tests For Quantile Regression Models
Journal:
Journal of the Royal Statistical Society. Series B: Statistical Methodology
Dong, C
Li, G
Feng, X
2019
LADE-Based Inference for ARMA Models With Unspecified and Heavy-Tailed Heteroscedastic Noises
Journal:
Journal of the American Statistical Association
Zhu, Ke
Ling, Shiqing
2015
Landmark cure rate models with time-dependent covariates
Journal:
Statistical Methods in Medical Research
SHI, H
Yin, G
2017
LAPLACE BOUNDS APPROXIMATION FOR AMERICAN OPTIONS
Journal:
Probability in the Engineering and Informational Sciences
Ma, Jingtang
Cui, Zhenyu
Li, Wenyuan
2022
Large Covariance and Autocovariance Matrices, By Arup Bose and Monika Bhattacharjee. Published by Taylor & Francis Group, LLC, Boca Raton, London, New York, 2019. ISBN: 9781138303867 (HARDBACK)
Journal:
Journal of Time Series Analysis
Yao, J
2020
Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies
Journal:
Journal of the American Statistical Association
Liu, Z
Shen, J
Barfield, R
Schwartz, J
Baccarelli, A
Lin, X
2021
A latent contingency table approach to dose finding for combinations of two agents
Journal:
Biometrics
Yin, G
Yuan, Y
2009
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion
Journal:
IEEE Transactions on Signal Processing
Ji, K
Tan, J
Xu, J
Chi, Y
2020
Learning MRI artefact removal with unpaired data
Journal:
Nature Machine Intelligence
Liu, Siyuan
Thung, Kim Han
Qu, Liangqiong
Lin, Weili
Shen, Dinggang
Yap, Pew Thian
2021
Learning Transparent Object Matting
Journal:
International Journal of Computer Vision
Chen, G
Han, K
Wong, KYK
2019
Least absolute deviation estimation for fractionally integrated autoregressive moving average time series models with conditional heteroscedasticity
Journal:
Biometrika
Li, G
Li, WK
2008
Least absolute deviation estimation for unit root processes with garch errors
Journal:
Econometric Theory
Li, G
Li, WK
2009
