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David S Matteson

Showing results (1-10 of 21) with videos related to

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The International Journal of Biostatistics|December 8, 2019
Cell Line Classification Using Electric Cell-Substrate Impedance Sensing (ECIS)Megan L Gelsinger, Laura L Tupper, David S Matteson
Journal of the American Statistical Association|June 22, 2023
Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving AveragesInes Wilms, Sumanta Basu, Jacob Bien, et al.
Journal of Applied Statistics|April 17, 2024
Classifying contaminated cell cultures using time series featuresLaura L Tupper, Charles R Keese, David S Matteson
Clinical Epidemiology|December 26, 2018
Maternal use of thyroid hormone replacement therapy before, during, and after pregnancy: agreement between self-report and prescription records and group-based trajectory modeling of prescription patternsAnna S Frank, Angela Lupattelli, David S Matteson, et al.
Wiley Interdisciplinary Reviews. Computational Statistics|January 16, 2025
Vector AutoRegressive Moving Average Models: A ReviewMarie-Christine Düker, David S Matteson, Ruey S Tsay, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 3, 2025
Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge EstimationYuchen Xu, Andrew M Thomas, Peter A Crozier, et al.
Neuroimage|May 24, 2016
Spatiotemporal mixed modeling of multi-subject task fMRI via method of momentsBenjamin B Risk, David S Matteson, R Nathan Spreng, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 6, 2025
Microlevel structural poverty estimates for southern and eastern AfricaElizabeth Tennant, Yating Ru, Peizan Sheng, et al.
Biometrics|December 20, 2013
An evaluation of independent component analyses with an application to resting-state fMRIBenjamin B Risk, David S Matteson, David Ruppert, et al.
Computational Statistics & Data Analysis|August 22, 2022
Group linear non-Gaussian component analysis with applications to neuroimagingYuxuan Zhao, David S Matteson, Stewart H Mostofsky, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
The International Journal of Biostatistics|December 8, 2019
Cell Line Classification Using Electric Cell-Substrate Impedance Sensing (ECIS)Megan L Gelsinger, Laura L Tupper, David S Matteson
Journal of the American Statistical Association|June 22, 2023
Sparse Identification and Estimation of Large-Scale Vector AutoRegressive Moving AveragesInes Wilms, Sumanta Basu, Jacob Bien, et al.
Journal of Applied Statistics|April 17, 2024
Classifying contaminated cell cultures using time series featuresLaura L Tupper, Charles R Keese, David S Matteson
Clinical Epidemiology|December 26, 2018
Maternal use of thyroid hormone replacement therapy before, during, and after pregnancy: agreement between self-report and prescription records and group-based trajectory modeling of prescription patternsAnna S Frank, Angela Lupattelli, David S Matteson, et al.
Wiley Interdisciplinary Reviews. Computational Statistics|January 16, 2025
Vector AutoRegressive Moving Average Models: A ReviewMarie-Christine Düker, David S Matteson, Ruey S Tsay, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 3, 2025
Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge EstimationYuchen Xu, Andrew M Thomas, Peter A Crozier, et al.
Neuroimage|May 24, 2016
Spatiotemporal mixed modeling of multi-subject task fMRI via method of momentsBenjamin B Risk, David S Matteson, R Nathan Spreng, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 6, 2025
Microlevel structural poverty estimates for southern and eastern AfricaElizabeth Tennant, Yating Ru, Peizan Sheng, et al.
Biometrics|December 20, 2013
An evaluation of independent component analyses with an application to resting-state fMRIBenjamin B Risk, David S Matteson, David Ruppert, et al.
Computational Statistics & Data Analysis|August 22, 2022
Group linear non-Gaussian component analysis with applications to neuroimagingYuxuan Zhao, David S Matteson, Stewart H Mostofsky, et al.
Pageof 3