Results 21 to 30 of about 6,038,394 (251)
Entropy stable reduced order modeling of nonlinear conservation laws [PDF]
Reduced order models of nonlinear conservation laws in fluid dynamics do not typically inherit stability properties of the full order model. We introduce projection-based hyper-reduced models of nonlinear conservation laws which are globally conservative
Jesse Chan
semanticscholar +1 more source
Implicit extremes and implicit max–stable laws [PDF]
Let X1, ⋯ , Xn be iid random vectors and f≥0 be a homogeneous non–negative function interpreted as a loss function. Let also k(n)=Argmaxi=1c⋯ , nf(Xi). We are interested in the asymptotic behavior of Xk(n) as n→∞. In other words, what is the distribution
H. Scheffler, Stilian A. Stoev
semanticscholar +1 more source
Comparing Fréchet and positive stable laws [PDF]
Let ${\bf L}$ be the unit exponential random variable and ${\bf Z}_\alpha$ the standard positive $\alpha$-stable random variable. We prove that $\{(1-\alpha)\alpha^{\gamma_\alpha} {\bf Z}_\alpha^{-\gamma_\alpha}, 0< \alpha
T. Simon
semanticscholar +1 more source
Operator geometric stable laws [PDF]
Operator geometric stable laws are the weak limits of operator normed and centered geometric random sums of independent, identically distributed random vectors. They generalize operator stable laws and geometric stable laws.
Hans-peter Schefflerb +8 more
core +1 more source
Diagonal Minkowski classes, zonoid equivalence, and stable laws [PDF]
We consider the family of convex bodies obtained from an origin symmetric convex body K by multiplication with diagonal matrices, by forming Minkowski sums of the transformed sets, and by taking limits in the Hausdorff metric.
Molchanov, Ilya, Nagel, Felix
core +1 more source
Fisher information and convergence to stable laws [PDF]
The convergence to stable laws is studied in relative Fisher information for sums of i.i.d. random variables.
S. G. Bobkov, G. Chistyakov, F. Gotze
semanticscholar +1 more source
On the ladder heights of random walks attracted to stable laws of exponent 1
Let Z be the first ladder height of a one dimensional random walk S n = X 1 + · · · + X n with i.i.d. increments X j which are in the domain of attraction of a stable law of exponent α , 0 < α ≤ 1 . We show that P [ Z > x ] is slowly varying at infinity if
K. Uchiyama
semanticscholar +1 more source
A New Proof for the Lévy Construction of Second Kind for Stable Laws [PDF]
We give a direct proof for the "Lévy construction of second kind" for stable laws on the real line without referring to the construction of "first kind.
Neuenschwander, D. +1 more
core +1 more source
On stable social laws and qualitative equilibria [PDF]
This paper introduces and investigates the notion of qualitative equilibria, or stable social laws, in the context of qualitative decision making.
Tennenholtz, Moshe
core +1 more source
Asymmetric distributions are frequently seen in real-world datasets due to a number of factors, such as sample biases and nonlinear interactions between the variables observed.
F. Quintino +3 more
semanticscholar +1 more source

