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Journal of Applied Statistics
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June 16, 2022
Clustering of longitudinal interval-valued data via mixture distribution under covariance separability
Seongoh Park, Johan Lim, Hyejeong Choi, et al.
Biostatistics (Oxford, England)
|
April 4, 2015
Statistical completion of a partially identified graph with applications for the estimation of gene regulatory networks
Donghyeon Yu, Won Son, Johan Lim, et al.
Computational Statistics & Data Analysis
|
April 22, 2024
Variable Selection in Bayesian Multiple Instance Regression using Shotgun Stochastic Search
Seongoh Park, Joungyoun Kim, Xinlei Wang, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
May 22, 2009
A robust hidden Markov Gauss mixture vector quantizer for a noisy source
Kyungsuk Peter Pyun, Johan Lim, Robert M Gray
Computational Statistics
|
August 5, 2021
Permutation based testing on covariance separability
Seongoh Park, Johan Lim, Xinlei Wang, et al.
Statistics in Medicine
|
March 4, 2023
Bayesian estimation and testing in random-effects meta-analysis of rare binary events allowing for flexible group variability
Ming Zhang, Jackson Barth, Johan Lim, et al.
Journal of the American Academy of Dermatology
|
August 8, 2020
Comment on "Systematic retrospective study on 64 patients anti-Mi2 dermatomyositis: A classic skin rash with a necrotizing myositis and high risk of malignancy"
Johan Lim, Joost Raaphorst, Anneke J van der Kooi
Scientific Reports
|
October 18, 2023
Goodness-of-fit testing for meta-analysis of rare binary events
Ming Zhang, Olivia Y Xiao, Johan Lim, et al.
Statistics in Medicine
|
April 15, 2008
A distribution-free test of constant mean in linear mixed effects models
Johan Lim, Xinlei Wang, Seokho Lee, et al.
BMC Bioinformatics
|
March 25, 2017
Enhanced construction of gene regulatory networks using hub gene information
Donghyeon Yu, Johan Lim, Xinlei Wang, et al.
Page
of 9
Search research articles
Search
Showing results (11-20 of 86) with videos related to
Sort By:
Page
of 9
Journal of Applied Statistics
|
June 16, 2022
Clustering of longitudinal interval-valued data via mixture distribution under covariance separability
Seongoh Park, Johan Lim, Hyejeong Choi, et al.
Biostatistics (Oxford, England)
|
April 4, 2015
Statistical completion of a partially identified graph with applications for the estimation of gene regulatory networks
Donghyeon Yu, Won Son, Johan Lim, et al.
Computational Statistics & Data Analysis
|
April 22, 2024
Variable Selection in Bayesian Multiple Instance Regression using Shotgun Stochastic Search
Seongoh Park, Joungyoun Kim, Xinlei Wang, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
May 22, 2009
A robust hidden Markov Gauss mixture vector quantizer for a noisy source
Kyungsuk Peter Pyun, Johan Lim, Robert M Gray
Computational Statistics
|
August 5, 2021
Permutation based testing on covariance separability
Seongoh Park, Johan Lim, Xinlei Wang, et al.
Statistics in Medicine
|
March 4, 2023
Bayesian estimation and testing in random-effects meta-analysis of rare binary events allowing for flexible group variability
Ming Zhang, Jackson Barth, Johan Lim, et al.
Journal of the American Academy of Dermatology
|
August 8, 2020
Comment on "Systematic retrospective study on 64 patients anti-Mi2 dermatomyositis: A classic skin rash with a necrotizing myositis and high risk of malignancy"
Johan Lim, Joost Raaphorst, Anneke J van der Kooi
Scientific Reports
|
October 18, 2023
Goodness-of-fit testing for meta-analysis of rare binary events
Ming Zhang, Olivia Y Xiao, Johan Lim, et al.
Statistics in Medicine
|
April 15, 2008
A distribution-free test of constant mean in linear mixed effects models
Johan Lim, Xinlei Wang, Seokho Lee, et al.
BMC Bioinformatics
|
March 25, 2017
Enhanced construction of gene regulatory networks using hub gene information
Donghyeon Yu, Johan Lim, Xinlei Wang, et al.
Page
of 9