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Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management

Journal of Econometrics, 2020
This paper aims to explore a modified method of high-dimensional dynamic variance–covariance matrix estimation via risk factor mapping, which can yield a dependence estimation of asset returns within a large portfolio with high computational efficiency ...
Mike K. P. So   +2 more
semanticscholar   +1 more source

Estimation risk of transformation-averaged estimators

SPIE Proceedings, 2003
Wavelet image denoising practice has shown that the performance of simple estimators may be substantially improved by averaging these estimators over a collection of transformations such as translations or rotations. In this paper, we explain and quantify these empirical findings using estimation theory.
Juan Liu, Pierre Moulin
openaire   +1 more source

Estimation of Risk as a Function of Risk Factors

International Journal of Epidemiology, 1976
This paper describes a model which makes allowance for unequal follow-up times in estimating the risk as a function of risk factors. It is the usual exponential model with an instantaneous risk which is assumed to be an exponential function of the risk factors. Computing methods and an extension of the model are given.
J, Lellouch, R, Rakotovao
openaire   +2 more sources

Estimating risks of perinatal death

American Journal of Obstetrics and Gynecology, 2005
The relative and absolute risks of perinatal death that are estimated from observational studies are used frequently in counseling about obstetric intervention. The statistical basis for these estimates therefore is crucial, but many studies are seriously flawed.
openaire   +2 more sources

Tutorial on kernel estimation of continuous spatial and spatiotemporal relative risk

Statistics in Medicine, 2017
Kernel smoothing is a highly flexible and popular approach for estimation of probability density and intensity functions of continuous spatial data. In this role, it also forms an integral part of estimation of functionals such as the density‐ratio or ...
T. Davies   +2 more
semanticscholar   +1 more source

Estimation of relative risk functions

Statistics in Medicine, 1991
AbstractThe risk associated with different levels of a quantitative factor X is often measured relative to the level corresponding to X = 0. There are situations, however, where there is no natural zero for X, for example where the risk factor is the age of an individual.
openaire   +2 more sources

Estimation of exposed population to landslides and floods risk areas in Brazil, on an intra-urban scale

International Journal of Disaster Risk Reduction, 2018
The knowledge on population demographics and the living conditions in risk areas are crucial for risk management and disaster response. In Brazil, this information is not available yet on a national scale.
Mariane Carvalho de Assis Dias   +13 more
semanticscholar   +1 more source

Adaptive sequential strategy for risk estimation of engineering systems using Gaussian process regression active learning

Engineering applications of artificial intelligence, 2018
Maximizing the accuracy of the estimated risk, and minimizing the number of calls to the expensive-to-evaluate deterministic model are two major challenges engineers face. Monte Carlo method is the usual method of choice for risk estimation.
Hamoon Azizsoltani, E. Sadeghi
semanticscholar   +1 more source

Attributions in explanations of risk estimates

Public Understanding of Science, 2002
In the spring of 1993, nearly 40 percent of Milwaukee-area residents experienced a nationally publicized outbreak of cryptosporidium, a parasite that infested the metropolitan drinking water supply. Using open-ended survey data gathered from 610 adult residents in the wake of that outbreak, this study looks at factors related to the ways in which ...
Kahlor, Lee Ann   +2 more
openaire   +3 more sources

Estimation of Systemic Risk

SSRN Electronic Journal, 2013
The recent global financial crisis has underscored the significance of managing systemic risk, which otherwise disrupts the financial system and has a substantial disastrous impact on the real economy. The interconnectedness of financial institutions is believed to be a critical source of systemic risk.
openaire   +1 more source

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