Ordinal probit functional outcome regression with application to computer-use behavior in rhesus monkeys-Reference-Cited by-同舟云学术

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Ordinal probit functional outcome regression with application to computer-use behavior in rhesus monkeys

Published:2022-03-01 Issue:1 Volume:16 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Meyer Mark J.¹,Morris Jeffrey S.²,Gazes Regina Paxton³,Coull Brent A.⁴

Affiliation:

1. Department of Mathematics and Statistics, Georgetown University

2. Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania

3. Department of Psychology and Program in Animal Behavior, Bucknell University

4. Department of Biostatistics, Harvard T.H. Chan School of Public Health

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference37 articles.

1. Lee, W., Miranda, M. F., Rausch, P., Baladandayuthapani, V., Fazio, M., Downs, J. C. and Morris, J. S. (2019). Bayesian semiparametric functional mixed models for serially correlated functional data with application to Glaucoma data. J. Amer. Statist. Assoc. 114 495–513.

2. Meyer, M. J., Coull, B. A., Versace, F., Cinciripini, P. and Morris, J. S. (2015). Bayesian function-on-function regression for multilevel functional data. Biometrics 71 563–574.

3. Morris, J. S. and Carroll, R. J. (2006). Wavelet-based functional mixed models. J. R. Stat. Soc. Ser. B. Stat. Methodol. 68 179–199.

4. Scheipl, F., Gertheiss, J. and Greven, S. (2016). Generalized functional additive mixed models. Electron. J. Stat. 10 1455–1492.

5. Scheipl, F., Staicu, A.-M. and Greven, S. (2015). Functional additive mixed models. J. Comput. Graph. Statist. 24 477–501.

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1. Bayesian Analysis of Multivariate Matched Proportions with Sparse Response;Statistics in Biosciences;2023-03-30

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