Dynamical Correlation for Multivariate Longitudinal Data
By Joel A. Dubin, H. Muller. 2005
91 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/49339c58df70c7337a8f5ca6d66500208fd3a1de
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- H. Muller
- Jeng-Min Chiou
- Jane-ling Wang
- Alexander Petersen
- Sang-Yun Oh
- Javier Zapata
- Łukasz Waszak
- Tomasz Górecki
In Statistics and Probability
- H. Muller
- Jeng-Min Chiou
- Jane-ling Wang
- Alexander Petersen
- Sang-Yun Oh
- Javier Zapata
- Tomasz Górecki
- Łukasz Waszak
Citations in the corpus
- Selected statistical methods of data analysis for multivariate functional data (2018, background): “Other generalization is presented by Dubin and Müller (2005).”
- Functional Data Analysis (2016, background): “These ideas can be formalized as follows (Dubin & M¨uller 2005).”
- Partial Separability and Functional Graphical Models for Multivariate Gaussian Processes (2019, background): “Prominent examples include longitudinal behavioral tracking (Chiou & M¨uller 2014), blood protein levels (Dubin & M¨uller 2005), traffic measurements (Chiou et al. 2014, 2016), and neuroimaging data (Petersen & M¨uller 2016, Happ & Greven 2018), for which dimensionality reduction and regression have…”