Results 11 to 20 of about 1,758,675 (318)
Heavy operators and hydrodynamic tails [PDF]
The late time physics of interacting QFTs at finite temperature is controlled by hydrodynamics. For CFTs this implies that heavy operators – which are generically expected to create thermal states – can be studied semiclassically. We show that hydrodynamics universally fixes the OPE coefficients
Luca V. Delacretaz
openaire +4 more sources
Distinguishing Log-Concavity from Heavy Tails
Well-behaved densities are typically log-convex with heavy tails and log-concave with light ones. We discuss a benchmark for distinguishing between the two cases, based on the observation that large values of a sum X 1 + X 2 occur as result of a single ...
S. Asmussen, Jaakko Lehtomaa
semanticscholar +3 more sources
Impact of correlations and heavy tails on quantum error correction [PDF]
We show that space- and time-correlated single-qubit rotation errors can lead to high-weight errors in a quantum circuit when the rotation angles are drawn from heavy-tailed distributions.
B. D. Clader +5 more
semanticscholar +1 more source
The Asymptotics of Moments for the Remaining Time of Heavy-Tail Distributions
Recent mathematical models of reliability computer systems and telecommunication networks are based on distributions with heavy tails. This paper falls into the category of exploring the classical models with heavy tails: Gnedenko–Weibull, Burr ...
Vladimir Rusev, Alexander Skorikov
doaj +1 more source
Understanding Heavy Tails of Flood Peak Distributions
Statistical distributions of flood peak discharge often show heavy tail behavior, that is, extreme floods are more likely to occur than would be predicted by commonly used distributions that have exponential asymptotic behavior.
B. Merz +11 more
semanticscholar +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Omey, Edward +2 more
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Daily precipitation extremes are crucial in the hydrological design of major water control structures and are expected to show a changing tendency over time due to climate change.
Neha Gupta, Sagar Rohidas Chavan
doaj +1 more source
Inferring heavy tails of flood distributions through hydrograph recession analysis [PDF]
Floods are often disastrous due to underestimation of the magnitude of rare events. Underestimation commonly happens when the magnitudes of floods follow a heavy-tailed distribution, but this behavior is not recognized and thus neglected for flood hazard
H.-J. Wang +6 more
doaj +1 more source
Estimation of the value-at-risk parameter: Econometric analysis and the extreme value theory approach [PDF]
In this paper different aspects of value-at-risk estimation are considered. Daily returns of CISCO, INTEL and NASDAQ stock indices are analyzed for period: September 1996 - September 2006. Methods that incorporate time varying variability and heavy tails
Mladenović Zorica, Mladenović Pavle
doaj +1 more source
The Fundamentals of Heavy Tails
Heavy tails –extreme events or values more common than expected –emerge everywhere: the economy, natural events, and social and information networks are just a few examples. Yet after decades of progress, they are still treated as mysterious, surprising,
J. Nair, A. Wierman, B. Zwart
semanticscholar +1 more source

