The empirical distribution of daily returns from financial market variables such as exchange rates, equity prices, and interest rates, is often skewed, having one heavy, and one semiheavy, or more Gaussian-like tail. The NIG distribution, that has two semi-heavy tails, models skewness rather well, but only in cases where the tails are not too heavy. On the other hand, the skew Student’s t-distr...

Statistical analysis of data from the nancial markets shows that generalized hyper-bolic (GH) distributions allow a more realistic description of asset returns than the classical normal distribution. GH distributions contain as sub-classes hyperbolic as well as normal inverse Gaussian (NIG) distributions which have recently been proposed as basic ingredients for the modelling of price processes...

by Let QU denote the class of anal>-tic functions which are regular and unbounded in ;zI < 1. According io D. GAIER and IV. MEYER-K~NIG [I] we call the radius Rq defined bJ+ x = r&c'!, 0 5 r <: 1 singular for f(x), if f(z) is unbounded in any sector /zI < 1, pl-E < arg 2 < < p7 + e Fith E > 0. h radius which is not singular for f(z) is called regular for f(z). In [l] it has been shown that if f...

زمینه و هدف: microRNA (miRNA) دستة جدیدی از شاخص‌های زیستی‌اند که در سطح سلولی مسیرهای پیام‌رسانی تغییرات ساختاری عملکردی قلبی درگیرند. همچنین تمرینات تناوبی شدید (HIIT) شامل وهله‌های فعالیت ورزشی نسبتاً با مدت زمان کوتاه است دوره‌های بازیافت فعال یا غیرفعال یکدیگر جدا شده‌اند، می‌تواند سبب بهبود آمادگی قلبی-تنفسی متغیرهای فیزیولوژیک متناظر آن افراد سالم شود. ازاین‌رو پژوهش حاضر نظر دارد اثر هشت...

Recommender System Framework for Heterogeneous Networks Fatemeh Vahedian Center for Web Intelligence, Depaul University, Chicago, IL 60604 keyword: Heterogeneous Information Networks, Meta-paths, Recommedner System, Multirelational Learning. Social networks such as Twitter, Facebook, and Flickr can be modeled as a Heterogeneous Network with multiple node types and different types of relations a...