Improved forecasting of carbon dioxide emissions using a hybrid SSA ARIMA model based on annual time series data in Bahrain. [PDF]
Althobaiti ZF.
europepmc +1 more source
Addressing spatial confounding in geostatistical regression models: An R‐INLA approach
Abstract Spatial confounding, which has been studied extensively in recent years, can explain inconsistencies between results obtained by regression models with and without spatial modelling. While the most common solutions for spatial confounding mitigation often target areal data or geostatistical data modelling by splines, we aim to extend some ...
Jérémy Lamouroux+4 more
wiley +1 more source
A Study of the effect of eigenvalues on the Moore Gibson Thompson model under photoacoustic excitation of semiconductors. [PDF]
El-Dali A+3 more
europepmc +1 more source
Abstract Quantifying the structure and dynamics of species interactions in ecological communities is fundamental to studying ecology and evolution. While there are numerous approaches to analysing ecological networks, there is not yet an approach that can (1) quantify dissimilarity in the global structure of ecological networks that range from ...
Kai M. Hung+4 more
wiley +1 more source
Neural networks based approach for computing eigenvectors and eigenvalues of symmetric matrix
Yi Zhang, Yan Fu, Hua Jin Tang
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Entropies of the Classical Dimer Model. [PDF]
Baker JC, Bishop MF, McMullen T.
europepmc +1 more source
Solving three core challenges in transient dynamics analysis of matrix population models
Abstract Populations are at the mercy of random disturbances, large and small, and rarely, if ever, converge on predicted long‐term behaviours. Therefore, when using matrix population models, ecologists study the dynamics of populations that depart from stable distributions.
Richard A. Hinrichsen
wiley +1 more source
Perturbative Diagonalization and Spectral Gaps of Quasiperiodic Operators on ℓ 2 ( Z d ) with Monotone Potentials. [PDF]
Kachkovskiy I+2 more
europepmc +1 more source
On the diversity of test instances for studying branch‐and‐bound performance
Summary In their paper ‘An Automatic Method for Solving Discrete Programming Problems’, Ailsa Land and Alison Doig developed a branch‐and‐bound method for solving the general case of the mixed integer linear programming (MIP) problem. A core part of the algorithm, branch variable selection, has received renewed attention in recent years with the ...
Simon Bowly, Kate Smith‐Miles
wiley +1 more source
A homotopy method for finding eigenvalues and eigenvectors
Kerry M. Soileau
openalex +2 more sources