The Experts below are selected from a list of 7479 Experts worldwide ranked by ideXlab platform
Elias Fries - One of the best experts on this subject based on the ideXlab platform.
-
Plantarum vascularium in regione Mæleri orientali-boeati sponte crescentium synopsis, quam ... præside Elia Fries ... pro gradu philosophico p.p. auctor Carolus Johannes Lindeberg ... in audit. Gustav. die XIII Jun. MDCCCXLVIII ... I.
2017Co-Authors: Elias FriesAbstract:Plantarum vascularium in regione Maeleri orientali-boeati sponte crescentium synopsis, quam ... praeside Elia Fries ... pro gradu philosophico p.p. auctor Carolus Johannes Lindeberg ... in audit. Gustav. die XIII Jun. MDCCCXLVIII ... I.
-
Ruborum Sueciae dispositio monographico-critica quam ... p. p. Johannes P. Arrhenius phil. cand. stip. Palmaer. et Carolus J. Lindeberg Smolandus. In audit. Gustaviano die XXX Nov. MDCCCXXXIX. H. a. m. s., III
2015Co-Authors: Elias FriesAbstract:Ruborum Sueciae dispositio monographico-critica quam ... p. p. Johannes P. Arrhenius phil. cand. stip. Palmaer. et Carolus J. Lindeberg Smolandus. In audit. Gustaviano die XXX Nov. MDCCCXXXIX. H. a. m. s., III
Vyacheslav L. Girko - One of the best experts on this subject based on the ideXlab platform.
-
VICTORIA transform, RESPECT and REFORM methods for the proof of the G-Elliptic Law under G-Lindeberg condition and twice stochastic condition for the variances and covariances of the entries of some random matrices
Random Operators and Stochastic Equations, 2020Co-Authors: Vyacheslav L. GirkoAbstract:AbstractThe G-Elliptic law under the G-Lindeberg condition for the independent pairs of the entries of a random matrix is proven.
-
V-density for eigenvalues of random block matrices with independent blocks whose entries have different variances and expectations
Random Operators and Stochastic Equations, 2019Co-Authors: Vyacheslav L. Girko, L. D. ShevchukAbstract:Abstract V-density under Lindeberg condition for the independent blocks of random matrices having different variances and expectations is found.
-
law for random block matrices under the generalized Lindeberg condition
Random Operators and Stochastic Equations, 2019Co-Authors: Vyacheslav L. GirkoAbstract:Abstract The V-law under generalized Lindeberg condition for the independent blocks of random matrices having double stochastic matrix of covariances and different expectations of their array is proven.
-
The limit G-Law for the solutions of systems of linear algebraic equations with independent random coefficients under the G-Lindeberg condition
Random Operators and Stochastic Equations, 2019Co-Authors: Vyacheslav L. GirkoAbstract:Abstract The limit G-Law for the solutions of the systems of linear algebraic equations with independent random coefficients is proven under the G-Lindeberg condition.
-
Canonical Equation K 10 . Necessary and Sufficient Modified Lindeberg Condition
Theory of Stochastic Canonical Equations, 2001Co-Authors: Vyacheslav L. GirkoAbstract:In this chapter we study the well-known example of random matrices studied for the first time by I.M. Lifshits [Lif] and Marchenko and Pastur [MaP]. Later, these matrices were studied in [Gir12], where a most profound result was obtained. It was shown that under certain restrictions the spectral functions of these matrices converge to the limit normalized spectral functions if and only if a so-called modified Lindeberg condition is satisfied.
Carl Malmström - One of the best experts on this subject based on the ideXlab platform.
-
Svensk Botanisk Tidskrift : Volym 33: Häfte 4, 1939
2018Co-Authors: Carl MalmströmAbstract:INNEHALLSFORTECKNING. E. LJUNGNER: A Forest Section through the Andes of Northern Patagonia. H. FRODERSTROM: Sedum kurdistanicum Frod. n. sp. G. Lindeberg: Uber den Einfluss der Wasserstoffionen-Ko ...
Paul Jung - One of the best experts on this subject based on the ideXlab platform.
-
a Lindeberg feller theorem for stable laws
Statistics & Probability Letters, 2014Co-Authors: Clément Dombry, Paul JungAbstract:We prove a stable version of the Lindeberg–Feller theorem and apply this result to an approximation of stable processes that are represented by stochastic integrals.
-
A Lindeberg–Feller theorem for stable laws
Statistics & Probability Letters, 2013Co-Authors: Clément Dombry, Paul JungAbstract:We prove a stable version of the Lindeberg–Feller theorem and apply this result to an approximation of stable processes that are represented by stochastic integrals.
Peng Chen - One of the best experts on this subject based on the ideXlab platform.
-
Approximation to stable law by the Lindeberg principle
Journal of Mathematical Analysis and Applications, 2019Co-Authors: Peng ChenAbstract:Abstract By the Lindeberg principle, we develop in this paper an approximation to one dimensional (possibly) asymmetric α-stable distributions with α ∈ ( 0 , 2 ) in the smooth Wasserstein distance. It is the first time that the general stable central limit theorem is proved by the Lindeberg principle, and that this theorem with α ∈ ( 0 , 1 ] is proved by a new method other than Fourier analysis. Our main tools are a Taylor-like expansion and a Kolmogorov forward equation.
-
approximation to the stable law by Lindeberg principle
arXiv: Probability, 2018Co-Authors: Peng ChenAbstract:By the Lindeberg principle, we develop in this paper an approximation to one dimensional (possibly) asymmetric $\alpha$-stable distributions with $\alpha \in (0,2)$ in the smooth Wasserstein distance. It is the first time that the general stable central limit theorem is proved by the Lindeberg principle, and that this theorem with $\alpha \in (0,1]$ is proved by a new method other than Fourier analysis. Our main tools are a Taylor-like expansion and a Kolmogorov forward equation.
-
Approximation to the stable law by Lindeberg principle
arXiv: Probability, 2018Co-Authors: Peng ChenAbstract:By Lindeberg principle, we develop in this paper an approximation to one dimensional (possibly) asymmetric $\alpha$-stable distributions with $\alpha \in (0,2)$ in smooth Wasserstein distance, which implies the stable central limit theorem. Our main tools are Taylor-like expansion and Dynkin's formula of stable process.