Results 81 to 90 of about 18,755 (251)
Can hydrophobic, shape‐selective zeolites efficiently remove the persistent pharmaceutical CBZ from water? This work moves beyond the static picture of interaction energies by modeling diffusion with umbrella sampling and machine‐learned potentials. Even high intrinsic diffusion barriers can be overcome through exergonic adsorption from water, yielding
Jakob Brauer +4 more
wiley +1 more source
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
A modified nonmonotone BFGS algorithm for unconstrained optimization. [PDF]
Li X, Wang B, Hu W.
europepmc +1 more source
Microsimulation models are increasingly used in the evaluation of cancer screening. Latent parameters of such models can be estimated by optimization of the goodness-of-fit.
Neddermeijer, H.G. +4 more
core
New Numerical Algorithms for Unconstrained Optimization Problems [PDF]
107-116Two new algorithms namely, Circle approach algorithm and Circle-tangent approach algorithm are proposed for unconstrained optimization problems.
Pandian, P, Karthikeyan, K
core
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
A conjugate gradient algorithm for large-scale unconstrained optimization problems and nonlinear equations. [PDF]
Yuan G, Hu W.
europepmc +1 more source
A contribution to theory and practice of nonlinear parameter optimization
Nonlinear parameter optimization in least squares was studied from a point of view of differential geometry. Properties of curvilinear coordinates, scale factors and curvature were investigated.
Stol, P.T.
core
ABSTRACT This study examines the relationship between corporate social responsibility (CSR) and corporate tax avoidance (CTA) in the European Union, exploiting institutional variation arising from CSR disclosure regimes and the introduction of the Anti‐Tax Avoidance Directives (ATAD).
Alessandro Migliavacca
wiley +1 more source

