normal 0 false false false en-us x-none ar-sa microsoftinternetexplorer4 background: e pilepsy is a common, chronic neurological disorder that affects more than 40 million people worldwide. epilepsy is characterized by interictal and ictal functional disturbances. the presence of interictal epileptiform discharges (ieds) can help to confirm a clinical diagnosis of epilepsy, and their location a...

in this paper, a general elastoplastic-damage constitutive model considering the effect of strain rate has been developed. the derivation of this model has been cast into the irreversible thermodynamics with internal variables within the fundamentals of continuum damage mechanics (cdm). the rate effect has been involved as an additional term into the plastic yield surface (dynamic plastic yield...

Generalized thermoelastic models have been developed with the aim of eliminating the contradiction in the infinite velocity of heat propagation inherent in the classical dynamical coupled thermoelasticity theory. In these generalized models, the basic equations include thermal relaxation times and they are of hyperbolic type. Furthermore, Tzou established the dual-phase-lag heat conduction theo...

The main purpose of this paper is to estimate the volatility in global fertilizer prices. The endogenous structural breakpoint unit root test and alternative volatility models, including the generalized autoregressive conditional heteroskedasticity (GARCH) model, Exponential GARCH (EGARCH) model, and GJR model are estimated for six global fertilizer prices and the crude oil price. Weekly data f...

The empirical (sandwich or robust) covariance matrix, usually used in conjunction with Generalized Estimating Equations (GEE) and Generalized Linear Mixed Models (GLMM), is biased towards zero for small sample sizes. As a consequence of this bias Type I error rates are usually higher than the nominal levels. Several small sample bias corrections have been proposed in the literature. The purpose...

We aim at proposing a Generalized Linear Model (GLM) with binary dependent variable Y , whose link function defined by the Generalized Extreme Value (GEV) distribution. We define this model as GEV regression. The goal of this paper is to overcome the drawbacks shown by the logistic regression in rare events: the probability of rare events is underestimated and the logit link is a symmetric func...

Dan Zhang Leads School of Business, University of Colorado at Boulder, Boulder, CO 80309, USA [email protected] Inventory-based dynamic pricing has become a common operations strategy in practice and has received considerable attention from the research community. From an implementation perspective, it is desirable to design a simple policy like a base stock list price (BSLP) policy. The e...

It is often asserted that deep networks learn “features”, traditionally expressed by the activations of intermediate nodes. We explore an alternative concept by defining features as partial derivatives of model output with respect to model parameters—extending a simple yet powerful idea from generalized linear models. The resulting features are not equivalent to node activations, and we show th...