Results 151 to 160 of about 19,953 (297)
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Canadian Journal of Statistics, EarlyView.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
Some modifications of conjugate gradient coefficient for unconstrained optimization
, 2010 Conjugate gradient methods hold an important role in unconstrained optimization. Numerous studies and modifications have been done recently to improve this method. However, these new modifications tend to be complicated and difficult.
Mohd Rivaie Mohd Ali
core
A partial envelope approach for modelling multivariate spatial‐temporal data
Canadian Journal of Statistics, EarlyView.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
Adaptive cuckoo search algorithm for unconstrained optimization. [PDF]
ScientificWorldJournal, 2014 Ong P.
europepmc +1 more source
Corporate Social Responsibility and Environmental Management, EarlyView.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
Parallel Unconstrained Optimization
, 1993 We deal with the parallel solution of the nonlinear, unconstrained, optimization problem minff(x) j x 2 R n g where the objective function f : R n ! R is continuous and differentiable.
Kwok L. Chow
core
Deep Underground Science and Engineering, EarlyView.Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu +4 more
wiley +1 more source
Tensor Methods for Large, Sparse Unconstrained Optimization
, 1994 Tensor methods for unconstrained optimization were first introduced in Schnabel and Chow [SIAM Journal on Optimization, 1 (1991), pp. 293-315], who describe these methods for small to moderate size problems.
Ali Bouaricha
core
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A synergistic molecular strategy is demonstrated to disrupt intrinsic ππ stacking in pitch, boosting 6‐fold sulfonation, yielding a hard carbon with 0.371 nm interlayer spacing and maximized closed pores, and achieving a high reversible capacity, remarkable rate capability (205.6 mAh g−1 at 2 A g−1) and cyclic stability.
Xiang Wang +8 more
wiley +1 more source
Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Epilepsia, EarlyView.Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source