Results 151 to 160 of about 772 (267)
Rényi Entropies of Multidimensional Oscillator and Hydrogenic Systems with Applications to Highly Excited Rydberg States. [PDF]
Dehesa JS.
europepmc +1 more source
Asymptotic properties of cross‐classified sampling designs
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley +1 more source
Comb Model in Periodic Potential. [PDF]
Iomin A, Milovanov A, Sandev T.
europepmc +1 more source
Bayesian inverse ensemble forecasting for COVID‐19
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Singularity formation in 3D Euler equations with smooth initial data and boundary. [PDF]
Chen J, Hou TY.
europepmc +1 more source
On the asymptotic behavior of the bounded solutions of some integral equations, II
Levin, J.J, Shea, D.F
openaire +2 more sources
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
Residue class biases in unrestricted partitions, partitions into distinct parts, and overpartitions. [PDF]
Schlosser MJ, Zhou NH.
europepmc +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

