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Journal of applied statistics

Showing results (561-570 of 1,188) with videos related to

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Journal of Applied Statistics|September 18, 2024
A method for optimizing text preprocessing and text classification using multiple cycles of learning with an application on shipbrokers emailsGrigorios Papageorgiou, Polychronis Economou, Sotirios Bersimis
Journal of Applied Statistics|April 30, 2025
A semiparametric accelerated failure time-based mixture cure treeWisdom Aselisewine, Suvra Pal, Helton Saulo
Journal of Applied Statistics|April 30, 2025
Prediction intervals and bands with improved coverage for functional data under noisy discrete observationDavid Kraus
Journal of Applied Statistics|April 30, 2025
Mitigating the choice of the duration in DDMS models through a parametric linkFernando Henrique de Paula E Silva Mendes, Douglas Eduardo Turatti, Guilherme Pumi
Journal of Applied Statistics|March 31, 2025
Reliability analysis based on doubly-truncated and interval-censored dataPao-Sheng Shen, Huai-Man Li
Journal of Applied Statistics|March 31, 2025
The PCovR biplot: a graphical tool for principal covariates regressionElisa Frutos-Bernal, José Luis Vicente-Villardón
Journal of Applied Statistics|March 31, 2025
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United StatesYukang Jiang, Ting Tian, Wenting Zhou, et al.
Journal of Applied Statistics|June 27, 2024
Modelling and monitoring social network change based on exponential random graph modelsYantao Cai, Liu Liu, Zhonghua Li
Journal of Applied Statistics|June 27, 2024
The generalized odd log-logistic-G regression with interval-censored survival dataValdemiro P Vigas, Edwin M M Ortega, Adriano K Suzuki, et al.
Journal of Applied Statistics|June 12, 2024
Estimating intracluster correlation for ordinal dataBenjamin W Langworthy, Zhaoxun Hou, Gary C Curhan, et al.
Pageof 119

Showing results (561-570 of 1,188) with videos related to

Sort By:
Pageof 119
Journal of Applied Statistics|September 18, 2024
A method for optimizing text preprocessing and text classification using multiple cycles of learning with an application on shipbrokers emailsGrigorios Papageorgiou, Polychronis Economou, Sotirios Bersimis
Journal of Applied Statistics|April 30, 2025
A semiparametric accelerated failure time-based mixture cure treeWisdom Aselisewine, Suvra Pal, Helton Saulo
Journal of Applied Statistics|April 30, 2025
Prediction intervals and bands with improved coverage for functional data under noisy discrete observationDavid Kraus
Journal of Applied Statistics|April 30, 2025
Mitigating the choice of the duration in DDMS models through a parametric linkFernando Henrique de Paula E Silva Mendes, Douglas Eduardo Turatti, Guilherme Pumi
Journal of Applied Statistics|March 31, 2025
Reliability analysis based on doubly-truncated and interval-censored dataPao-Sheng Shen, Huai-Man Li
Journal of Applied Statistics|March 31, 2025
The PCovR biplot: a graphical tool for principal covariates regressionElisa Frutos-Bernal, José Luis Vicente-Villardón
Journal of Applied Statistics|March 31, 2025
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United StatesYukang Jiang, Ting Tian, Wenting Zhou, et al.
Journal of Applied Statistics|June 27, 2024
Modelling and monitoring social network change based on exponential random graph modelsYantao Cai, Liu Liu, Zhonghua Li
Journal of Applied Statistics|June 27, 2024
The generalized odd log-logistic-G regression with interval-censored survival dataValdemiro P Vigas, Edwin M M Ortega, Adriano K Suzuki, et al.
Journal of Applied Statistics|June 12, 2024
Estimating intracluster correlation for ordinal dataBenjamin W Langworthy, Zhaoxun Hou, Gary C Curhan, et al.
Pageof 119