Results 11 to 20 of about 2,077,215 (247)

$k$-Variance: A Clustered Notion of Variance

open access: yesSIAM Journal on Mathematics of Data Science, 2022
We introduce $k$-variance, a generalization of variance built on the machinery of random bipartite matchings. $K$-variance measures the expected cost of matching two sets of $k$ samples from a distribution to each other, capturing local rather than global information about a measure as $k$ increases; it is easily approximated stochastically using ...
Justin Solomon 0001   +2 more
openaire   +4 more sources

HEDGING (CO)VARIANCE RISK WITH VARIANCE SWAPS [PDF]

open access: yesInternational Journal of Theoretical and Applied Finance, 2008
In this paper, we quantify the impact on the representative agent's welfare of the presence of derivative products spanning covariance risk. In an asset allocation framework with stochastic (co)variances, we allow the agent to invest not only in the stocks but also in the associated variance swaps.
DA FONSECA J   +2 more
openaire   +3 more sources

Connections between Weighted Generalized Cumulative Residual Entropy and Variance

open access: yesMathematics, 2020
A shift-dependent information measure is favorable to handle in some specific applied contexts such as mathematical neurobiology and survival analysis. For this reason, the weighted differential entropy has been introduced in the literature.
Abdolsaeed Toomaj, Antonio Di Crescenzo
doaj   +1 more source

Warehouse receipts functioning to reduce market risk [PDF]

open access: yesEkonomika Poljoprivrede (1979), 2014
Cereal production underlies the market risk to a great extent due to its elastic demand. Prices of grain have cyclic movements and significant decline in the harvest periods as a result of insufficient supply and high demand.
Jovičić Daliborka   +3 more
doaj   +1 more source

Analysis of the Distance between the Measured and Assumed Location of a Point Source of Pollution in Groundwater as a Function of the Variance of the Estimation Error

open access: yesHydrology, 2023
The localization of pollution sources is one of the main tasks in environmental engineering. For this paper, models of spatial distribution of nitrate concentration in groundwater were created, and the point of highest concentration was determined.
Ivan Kovač   +3 more
doaj   +1 more source

Variance-of-Variance Risk Premium [PDF]

open access: yesReview of Finance, 2017
Abstract 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 realized variance of the VIX index yield average excess returns of − 24 ...
openaire   +2 more sources

Redundancy, Feedback, and Robustness in the Arabidopsis thaliana BZR/BEH Gene Family

open access: yesFrontiers in Genetics, 2018
Organismal development is remarkably robust, tolerating stochastic errors to produce consistent, so-called canalized adult phenotypes. The mechanistic underpinnings of developmental robustness are poorly understood, but recent studies implicate certain ...
Jennifer Lachowiec   +4 more
doaj   +1 more source

Multivariate Animal Model-based Analysis of Fiber Traits in Kashmir Merino Sheep

open access: yesJournal of Natural Fibers, 2022
An attempt was made in the present study to elucidate the (co)variance components and genetic parameters of fiber traits in Kashmir Merino sheep population using multivariate animal model.
Sheikh Firdous Ahmad   +4 more
doaj   +1 more source

Research Note: Genome-wide association study for natural antibodies and resilience in a purebred layer chicken line

open access: yesPoultry Science, 2023
: Resilience is the capacity of an animal to be minimally affected by disturbances or rapidly return to the state pertained before exposure to a disturbance.
Harmen P. Doekes   +5 more
doaj   +1 more source

The Variance Profile [PDF]

open access: yesJournal of the American Statistical Association, 2012
The variance profile is defined as the power mean of the spectral density function of a stationary stochastic process. It is a continuous and nondecreasing function of the power parameter, p, which returns the minimum of the spectrum (p→−∞), the interpolation error variance (harmonic mean, p=−1), the prediction error variance (geometric mean, p=0), the
LUATI, ALESSANDRA, Proietti T., Reale M.
openaire   +5 more sources

Home - About - Disclaimer - Privacy