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Convex Relaxations and Approximations of Chance-Constrained AC-OPF Problems
, 2018 This paper deals with the impact of linear approximations for the unknown nonconvex confidence region of chance-constrained AC optimal power flow problems. Such approximations are required for the formulation of tractable chance constraints.
Chatzivasileiadis, Spyros +2 more
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The Mongolian Journal of International Affairs, 2011 DOI: 10.5564/mjia.v0i14.25 Mongolian Journal of International Affairs No.14 2007 pp.64 ...
Alexander Nemov
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Uniformly Valid Confidence Sets Based on the Lasso
, 2018 In a linear regression model of fixed dimension $p \leq n$, we construct confidence regions for the unknown parameter vector based on the Lasso estimator that uniformly and exactly hold the prescribed in finite samples as well as in an asymptotic setup ...
Ewald, Karl, Schneider, Ulrike
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Search for Magnetic Monopoles in s√=7 TeV pp Collisions with the ATLAS Detector [PDF]
, 2011 This Letter presents a search for magnetic monopoles with the ATLAS detector at the CERN Large Hadron Collider using an integrated luminosity of 2.0 fb−1 of pp collisions recorded at a center-of-mass energy of s√=7 TeV.
, The ATLAS collaboration
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Multi-epoch Analysis of Pulse Shapes from the Neutron Star SAX J1808.4-3658
, 2010 The pulse shapes detected during multiple outbursts of SAX J1808 are analyzed in order to constrain the neutron star's mass and radius. We use a hot-spot model with a small scattered-light component to jointly fit data from two different epochs, under ...
Alford +21 more
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Confidence Regions in Multivariate Calibration
The Annals of Statistics, 1988 The multivariate calibration problem is considered, in which a sample of n observations on vectors \(\xi_{(i)}\) (of ``true values'') and \(Y_{(i)}\) (of less accurate but more easily obtained values) are to be used to estimate the unknown \(\xi\) corresponding to a future Y.
openaire +3 more sources
Empirical simultaneous confidence regions for path-forecasts [PDF]
Measuring and displaying uncertainty around path-forecasts, i.e. forecasts made in period T about the expected trajectory of a random variable in periods T+1 to T+H is a key ingredient for decision making under uncertainty.
Jordà, Òscar +2 more
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MathematicsDiscrete, finite-state Markov chains are applied in many different fields. When a system is modeled as a discrete, finite-state Markov chain, the asymptotic properties of the system, such as the steady-state distribution, are often estimated based on a ...
Yann Vestring, Javad Tavakoli
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Entropy, 2014 System identification, in practice, is carried out by perturbing processes or plants under operation. That is why in many industrial applications a plant-friendly input signal would be preferred for system identification.
Wiktor Jakowluk
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Asteroid family identification using the Hierarchical Clustering Method and WISE/NEOWISE physical properties [PDF]
, 2013 Using albedos from WISE/NEOWISE to separate distinct albedo groups within the Main Belt asteroids, we apply the Hierarchical Clustering Method to these subpopulations and identify dynamically associated clusters of asteroids. While this survey is limited
Bauer, J. M. +5 more
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