Testing for the Markov property in time series via deep conditional generative learning is a research paper published in Journal of the Royal Statistical Society Series B (Statistical Methodology) (2023). On theSindex it has a DataRank of 0. It has been cited 8 times.
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EPSRC
Grant: EP/W014971/1
Statistical Methods in Offline Reinforcement Learning
EPSRC
Grant: EP/V007556/1
Statistical Network Analysis: Model Selection, Differential Privacy, and Dynamic Structures
EPSRC
Grant: EP/X002195/1
Network Stochastic Processes and Time Series (NeST)
NSF
Grant: CIF-2102227
NIH
Grant: R01AG061303
NIH
Grant: R01AG062542
National Science Foundation
Grant: 2102227
CIF: Small: Collaborative Research: Graphical Modeling of Multivariate Functional Data
National Institutes of Health
Grant: 5R01AG061303-04
New Statistical Methods for Multicenter Multimodal Longitudinal Neuroimaging Analysis
National Institutes of Health
Grant: 5R01AG062542-05
Mechanisms of Alzheimer's Disease Progression in the Aging Brain
FWCI
0.77
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords