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Browsing "Department of Statistics & Actuarial Science" by Author li, y
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Showing results 1 to 11 of 11
Title
Author(s)
Issue Date
A novel quantification of information for longitudinal data analyzed by mixed‐effects modeling
Journal:
Pharmaceutical Statistics
Yuan, M
Li, Y
Yang, Y
Xu, J
Tao, F
Zhao, L
Zhou, H
Pinheiro, J
Xu, XS
2020
Bayesian dose finding in phase I clinical trials based on a new statistical framework
Journal:
Statistica Sinica
Ji, Y
Li, Y
Yin, G
2007
Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratios
Journal:
Biometrics
Yin, G
Li, Y
Ji, Y
2006
Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types
Journal:
Molecular Cancer
Shen, S
Zhang, R
Jiang, Y
Li, Y
Lin, L
Liu, Z
Zhao, Y
Shen, H
Hu, Z
Wei, Y
Chen, F
2021
Diagnostic Checking for Weibull Autoregressive Conditional Duration Models
Book:
Advances in Time Series Methods and Applications: The A. Ian McLeod Festschrift
Zheng, Y
Li, Y
Li, WK
Li, G
2016
Inter‐temporal mutual‐fund management
Journal:
Mathematical Finance
Bensoussan, A
Cheung, KC
Li, Y
Yam, SCP
2022
NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis
Journal:
Artificial Intelligence in Medicine
Li, W
Chen, J
Chen, P
Yu, L
Cui, X
Li, Y
Cheng, F
Ouyang, W
2021
On Fréchet autoregressive conditional duration models
Journal:
Journal of Statistical Planning and Inference
Zheng, Y
Li, Y
Li, G
2016
Quantile Correlations and Quantile Autoregressive Modeling
Journal:
Journal of the American Statistical Association
Li, G
Li, Y
Tsai, CL
2015
SCEBE: an efficient and scalable algorithm for genome-wide association studies on longitudinal outcomes with mixed-effects modeling
Journal:
Briefings in Bioinformatics
Yuan, M
Xu, XS
Yang, Y
Zhou, Y
Li, Y
Xu, J
Pinheiro, J
Alzheimer’s Disease Neuroimaging Initiative,
2021
SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation
Proceeding/Conference:
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Zhu, C
Zhang, X
Li, Y
Qiu, L
Han, K
Han, X
2022
