Results 61 to 70 of about 727,591 (368)

Virtual volatility [PDF]

open access: yesPhysica A: Statistical Mechanics and its Applications, 2007
We introduce the concept of virtual volatility. This simple but new measure shows how to quantify the uncertainty in the forecast of the drift component of a random walk. The virtual volatility also is a useful tool in understanding the stochastic process for a given portfolio.
A. Christian Silva, Richard E. Prange
openaire   +3 more sources

Clinical significance of stratifying prostate cancer patients through specific circulating genes

open access: yesMolecular Oncology, EarlyView.
We tested a specific panel of genes representative of luminal, neuroendocrine and stem‐like cells in the blood of prostate cancer patients, showing predictive value from diagnosis to late stages of disease. This approach allows monitoring of treatment responses and outcomes at specific time points in trajectories.
Seta Derderian   +12 more
wiley   +1 more source

Power and bipower variation with stochastic volatility and jumps

open access: yes, 2003
This paper shows that realised power variation and its extension we introduce here called realised bipower variation is somewhat robust to rare jumps.
O. Barndorff-Nielsen, N. Shephard
semanticscholar   +1 more source

Body contour adaptation for weight‐loss and bolus for head and neck radiotherapy on Ethos version 2.0 and HyperSight: Synthetic CT versus direct calculation

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose In radiotherapy, body contour inaccuracies may compromise the delineation of adjacent structures and affect calculated dose. Here, we evaluate the un‐editable body contours auto‐generated by Ethos versions 1.0 (v1) and 2.0 (v2) treatment planning softwares for two simulated cases: weight‐loss and bolus application, particularly ...
Abby Yashayaeva   +2 more
wiley   +1 more source

Time-Varying Volatility in Bitcoin Market and Information Flow at Minute-Level Frequency

open access: yesFrontiers in Physics, 2021
In this article, we analyze the time series of minute price returns on the Bitcoin market through the statistical models of the generalized autoregressive conditional heteroscedasticity (GARCH) family.
Irena Barjašić, Nino Antulov-Fantulin
doaj   +1 more source

Capturing the Performance of Indonesian Sharia Stock Index (ISSI) and Composite Share Price Index (IHSG) Jakarta Period 2016-2019 [PDF]

open access: yesFalah: Jurnal Ekonomi Syariah, 2020
This study aims to compare the performance of Indonesia Sharia Stock Index (ISSI) and Composite Share Price Index (IHSG) Jakarta over bullish dan bearish period 2016-2019. This research is descriptive quantitative using natural log and standard deviation
Muhammad Hanif al-Hakim
doaj   +1 more source

Home‐Based Tele‐tDCS in Amyotrophic Lateral Sclerosis: Feasibility, Safety, and Preliminary Efficacy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease with limited treatment options. Transcranial direct current stimulation (tDCS) shows promise as a neuromodulatory intervention in various neurological disorders, but its application in ALS, particularly in a remote, home‐based format, remains underexplored.
Sangeetha Madhavan   +6 more
wiley   +1 more source

Long-Term Electricity Load Forecasting Considering Volatility Using Multiplicative Error Model

open access: yesEnergies, 2018
Long-term electricity load forecasting plays a vital role for utilities and planners in terms of grid development and expansion planning. An overestimate of long-term electricity load will result in substantial wasted investment on the construction of ...
Swasti R. Khuntia   +2 more
doaj   +1 more source

The Volatility of Volatility

open access: yesCFA Institute Magazine, 2013
“In the long run, we may all be dead, as Keynes suggested, but we need to make sure that the short run doesn’t kill us first,” says Andrew Lo.
openaire   +3 more sources

Electrospinning Technology, Machine Learning, and Control Approaches: A Review

open access: yesAdvanced Engineering Materials, EarlyView.
Electrospinning produces micro‐ and nanoscale fibers, holding great promise in biomedical engineering. Industrial adoption faces challenges in controlling fiber properties, reproducibility, and scalability. This review explores electrospinning techniques, modeling, and machine learning for process optimization.
Arya Shabani   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy