Application of Predictive Methods to Financial Data Sets

Penalized Lasso Methods in Health Data: application to trauma and influenza data of Kerman

Background: Two main issues that challenge model building are number of Events Per Variable and multicollinearity among exploratory variables. Our aim is to review statistical methods that tackle these issues with emphasize on penalized Lasso regression model.  The present study aimed to explain problems of traditional regressions due to small sample size and m...

specialized methods to teach spelling: comparing three methods

چکیده: بررسی ادبیات مربوطه در کشور در زمینه یادگیری زبان انگلیسی نشان می‎دهد که علی‎رغم اهمیت املا در فرآیند یادگیری به طور عام و یادگیری زبان انگلیسی به طور خاص، این مولفه از جایگاهی متناسب با اهمیت آن برخوردار نیست و عمدتاً نادیده گرفته شده است. تحقیقات گسترده‎ای در خارج از کشور در مورد ماهیت این مولفه صورت گرفته است، در حالی که به جرأت می‎توان گفت در داخل کشور گامی در مورد درک ماهیت آن و فرآی...

Application of Interior-Point Methods to Model Predictive Control

We present a structured interior-point method for the efficient solution of the optimal control problem in model predictive control. The cost of this approach is linear in the horizon length, compared with cubic growth for a naive approach. We use a discrete-time Riccati recursion to solve the linear equations efficiently at each iteration of the interior-point method, and show that this recurs...

Application of Spectral Methods to Representative Data Sets in Electrophysiology and Functional Neuroimaging

data mining rules and classification methods in insurance: the case of collision insurance

assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...