Results 111 to 120 of about 135,156 (153)

Exploring the intersection of natural sciences and information technology via entropy and randomness. [PDF]

Nat Commun
Luescher AM, Heckel R, Grass RN.
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Extended Divergence-Measure Fields, the Gauss-Green Formula and Cauchy Fluxes. [PDF]

Arch Ration Mech Anal
Chen GG, Irving C, Torres M.
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Machine learning of the prime distribution. [PDF]

PLoS One
Kolpakov A, Rocke AA.
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On the Change of Measure for Brownian Processes. [PDF]

Entropy (Basel)
Pinski FJ.
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Convergence of Random Processes and Limit Theorems in Probability Theory

Theory of Probability & Its Applications, 1956
The convergence of stochastic processes is defined in terms of the so-called “weak convergence” (w. c.) of probability measures in appropriate functional spaces (c. s. m. s.).Chapter 1. Let $\Re $ be the c.s.m.s. and v a set of all finite measures on $\Re $.
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B.V. Gnedenko: Classic of Limit Theorems in the Theory of Probability

Methodology and Computing in Applied Probability, 2013
This paper deals with an analysis of mathematical contributions of the mathematician B. V. Gnedenko, who worked in the area of probability theory and its applications. He created in Ukraine a worldwide-known school of probability theory and mathematical statistics and influenced the formation of theoretical-probabilistic schools in many countries.
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A Proof of the Generalized Second-Limit Theorem in the Theory of Probability

Communications in Statistics - Theory and Methods, 2011
Some theorems of q-additive and q-multiplicative functions are presented, where the summation is taken over some arithmetically interesting subsets of the integers.
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Some Recent Work on Limit Theorems in Probability Theory

1992
In the middle of the 1940’s it seemed that the topic of limit theorems of classical type (that is, problems of the limiting behaviour of distributions of sums of a large number of terms that are either independent or connected in Markov chains) was basically exhausted. The monograph written by me together with B.V.
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Hilbert Space Methods and Limit Theorems in Probability Theory

1995
Before we introduce the notion of probability, it seems advisable to describe the type of mathematical model used to represent a physical system.
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Inverse Theorems on the Rate of Approximation for Certain Limit Theorems in Probability Theory

1978
In this paper it is shown that the results in [5], concerning direct theorems for convergence in distribution with rates of random variables to general limiting random variables, are best possible in the sense that the existence of certain conditions upon the moments of the random variables in question are not only sufficient for a prescribed rate of ...
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