Results 131 to 140 of about 7,132,026 (272)
Asymptotic Normality and Convergence Rates for Tsallis Entropy Estimators via Stabilization Techniques. [PDF]
Çadırcı MS, Singull M.
europepmc +1 more source
A partial envelope approach for modelling multivariate spatial‐temporal data
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source
The Scaling Limit of Random Two-Connected Series-Parallel Maps. [PDF]
Amankwah D +4 more
europepmc +1 more source
Copula‐based joint modelling of emergency department visits with time‐varying dependence
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley +1 more source
Stochastic thermodynamics of social imitation beyond energetics. [PDF]
Irisarri L +3 more
europepmc +1 more source
The shorth plot is a tool to investigate probability mass concentration. It is a graphical representation of the length of the shorth, the shortest interval covering a certain fraction of the distribution, localized by forcing the intervals considered to
Gantner, M. +2 more
core
Power spectral density and the brain
Abstract Time series from M/EEG (magneto/electroencephalography) and ECoG (electrocorticography) recordings are common sources of information about brain function. The power spectral density (PSD) preserves much of this information, up to second order. In the current decade, a burst of brain diagnostics using the slope of log(PSD) has appeared.
Priscilla E. Greenwood +2 more
wiley +1 more source
Nonparametric maximum likelihood estimation of the survival function using current lifetime data
Abstract An issue when estimating the failure time survival function is how to set up a prevalent cohort study infrastructure to follow subjects after enrollment. This problem can be circumvented through the well‐known Grenander density estimator using current lifetime observations only.
James H. McVittie, Masoud Asgharian
wiley +1 more source
On Ergodic and Inverse Shadowing Properties of Set-Valued Mapping. [PDF]
Wattan Kamil F, Al-Shara'a IMT.
europepmc +1 more source

