Results 81 to 90 of about 7,160,092 (306)

Variance-of-variance risk premium

open access: yes, 2018
This article explores the premium for bearing the variance risk of the VIX index, called the variance-of-variance risk premium. I find that during the sample period from 2006 until 2014 trading strategies exploiting the difference between the implied and
Andreas Kaeck (4464625)
core   +1 more source

Mean-Variance-Skewness Portfolio Performance Gauging: A General Shortage Function and Dual Approach [PDF]

open access: yes
This paper proposes a nonparametric efficiency measurement approach for the static portfolio selection problem in mean-variance-skewness space. A shortage function is defined that looks for possible increases in return and skewness and decreases in ...
Kristiaan Kerstens   +2 more
core  

Effectiveness of Resistance Intradialytic Exercise Compared to Aerobic Intradialytic Exercise for Patients With Chronic Kidney Disease: A Randomized Controlled Clinical Trial

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida   +6 more
wiley   +1 more source

A Generalized Framework for the (a, b)-Transformation of Probability Measures

open access: yesMathematics
In this paper, we propose an analytic deformation acting on probability measures, designed to encompass and extend two fundamental operators in free probability: the (a,b)- and the Tc-deformations.
Raouf Fakhfakh   +2 more
doaj   +1 more source

Semi-bayesian D-optimal designs and estimation procedures for mean and variance functions. [PDF]

open access: yes
Semi-Bayesian D-optimal designs for fitting mean and variance functions are derived for some prior distributions on the variance function parameters. The impact of the mean of the prior and of the uncertainty about this mean is analyzed.
Goos, Peter, Vandebroek, Martina
core  

Establishing an Apheresis Medicine Program in a Resource‐Constrained Setting: A 5‐Year Experience From Lagos, Nigeria

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola   +4 more
wiley   +1 more source

Analytical determination of theoretic quantities for multiple potential

open access: yesScientific Reports, 2020
The approximate analytical solutions of the three-dimensional radial Schrödinger wave equation with a multiple potential function has been studied using a suitable approximation scheme to the centrifugal term in the framework of parametric Nikiforov ...
C. A. Onate   +3 more
doaj   +1 more source

Variance function estimation in high-dimensions

open access: yes, 2012
We consider the high-dimensional heteroscedastic regression model, where the mean and the log variance are modeled as a linear combination of input variables. Existing literature on high-dimensional linear regres- sion models has largely ignored non-constant error variances, even though they commonly occur in a variety of applications ranging from ...
Mladen Kolar, James Sharpnack
openaire   +3 more sources

Population dynamics: Variance and the sigmoid activation function

open access: yesNeuroImage, 2008
This paper demonstrates how the sigmoid activation function of neural-mass models can be understood in terms of the variance or dispersion of neuronal states. We use this relationship to estimate the probability density on hidden neuronal states, using non-invasive electrophysiological (EEG) measures and dynamic casual modelling.
André C. Marreiros   +3 more
openaire   +3 more sources

Robustifying the Least Squares estimate of parameters of variance model function in nonlinear regression with heteroscedastic variance [Elektronisk resurs]

open access: yes, 2012
The purpose of this research is to propose a robust estimate for the parameters of a nonlinear regression model and its residual variance model parameters, when the residuals follow a heteroscedastic parametric model function.
Riazoshams, Hossein,
core  

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