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Scott A Bruce

Showing results (1-10 of 15) with videos related to

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Statistics and Its Interface|May 16, 2023
Adaptive Clustering and Feature Selection for Categorical Time Series Using Interpretable Frequency-Domain FeaturesScott A Bruce
Biometrics|July 25, 2025
Frequency band analysis of nonstationary multivariate time seriesRaanju R Sundararajan, Scott A Bruce
Biometrics|September 20, 2022
Adaptive Bayesian sum of trees model for covariate-dependent spectral analysisYakun Wang, Zeda Li, Scott A Bruce
Journal of Machine Learning Research : JMLR|May 26, 2023
Interpretable Classification of Categorical Time Series Using the Spectral Envelope and Optimal ScalingsZeda Li, Scott A Bruce, Tian Cai
The Annals of Applied Statistics|March 4, 2024
ANOPOW FOR REPLICATED NONSTATIONARY TIME SERIES IN EXPERIMENTSZeda Li, Yu Ryan Yue, Scott A Bruce
Statistics in Medicine|January 21, 2021
Conditional adaptive Bayesian spectral analysis of replicated multivariate time seriesZeda Li, Scott A Bruce, Clinton J Wutzke, et al.
Biometrics|May 9, 2017
Conditional adaptive Bayesian spectral analysis of nonstationary biomedical time seriesScott A Bruce, Martica H Hall, Daniel J Buysse, et al.
Journal of the American Statistical Association|June 10, 2021
Empirical Frequency Band Analysis of Nonstationary Time SeriesScott A Bruce, Cheng Yong Tang, Martica H Hall, et al.
Journal of Sleep Research|September 19, 2022
Preliminary evidence that misalignment between sleep and circadian timing alters risk-taking preferencesGarrett C Hisler, David L Dickinson, Scott A Bruce, et al.
Statistics in Medicine|February 12, 2026
Frequency Band Analysis of Multiple Stationary Time SeriesConnor K Brubaker, Jack P Manning, Jennifer M Yentes, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Statistics and Its Interface|May 16, 2023
Adaptive Clustering and Feature Selection for Categorical Time Series Using Interpretable Frequency-Domain FeaturesScott A Bruce
Biometrics|July 25, 2025
Frequency band analysis of nonstationary multivariate time seriesRaanju R Sundararajan, Scott A Bruce
Biometrics|September 20, 2022
Adaptive Bayesian sum of trees model for covariate-dependent spectral analysisYakun Wang, Zeda Li, Scott A Bruce
Journal of Machine Learning Research : JMLR|May 26, 2023
Interpretable Classification of Categorical Time Series Using the Spectral Envelope and Optimal ScalingsZeda Li, Scott A Bruce, Tian Cai
The Annals of Applied Statistics|March 4, 2024
ANOPOW FOR REPLICATED NONSTATIONARY TIME SERIES IN EXPERIMENTSZeda Li, Yu Ryan Yue, Scott A Bruce
Statistics in Medicine|January 21, 2021
Conditional adaptive Bayesian spectral analysis of replicated multivariate time seriesZeda Li, Scott A Bruce, Clinton J Wutzke, et al.
Biometrics|May 9, 2017
Conditional adaptive Bayesian spectral analysis of nonstationary biomedical time seriesScott A Bruce, Martica H Hall, Daniel J Buysse, et al.
Journal of the American Statistical Association|June 10, 2021
Empirical Frequency Band Analysis of Nonstationary Time SeriesScott A Bruce, Cheng Yong Tang, Martica H Hall, et al.
Journal of Sleep Research|September 19, 2022
Preliminary evidence that misalignment between sleep and circadian timing alters risk-taking preferencesGarrett C Hisler, David L Dickinson, Scott A Bruce, et al.
Statistics in Medicine|February 12, 2026
Frequency Band Analysis of Multiple Stationary Time SeriesConnor K Brubaker, Jack P Manning, Jennifer M Yentes, et al.
Pageof 2