Results 31 to 40 of about 174,275 (197)
In the present paper, firstly we find a number of poles of generating functions of Bernoulli numbers and associated Euler numbers, denoted by n(a,B) $n ( a,\mathbf{B} ) $ and n(a,E) $n ( a,E ) $, respectively.
Serkan Araci, Mehmet Acikgoz
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Bernoulli Related Polynomials and Numbers [PDF]
The polynomials φ n ( x ; a , b ) {\varphi _n}(x;a,b) of degree n defined by the equations \[ Δ a φ n ( x
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Generalized Wilker-type inequalities with two parameters
In the article, we present certain p , q ∈ R $p, q\in\mathbb{R}$ such that the Wilker-type inequalities 2 q p + 2 q ( sin x x ) p + p p + 2 q ( tan x x ) q > ( < ) 1 and ( π 2 ) p ( sin x x ) p + [ 1 − ( π 2 ) p ] ( tan x x ) q > ( < ) 1 $$\begin{aligned}
Hong-Hu Chu +3 more
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The Sigma-Pi structure investigated in this work consists of the sum of products of an increasing number of identically distributed random variables. It appears in stochastic processes with random coefficients and also in models of growth of entities ...
Arthur Matsuo Yamashita Rios de Sousa +3 more
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BERNOULLI'S LAW OF LARGE NUMBERS [PDF]
AbstractThis year we celebrate the 300th anniversary of Jakob Bernoulli's path-breaking work Ars conjectandi, which appeared in 1713, eight years after his death. In Part IV of his masterpiece, Bernoulli proves the law of large numbers which is one of the fundamental theorems in probability theory, statistics and actuarial science.
Bolthausen, Erwin, Wüthrich, Mario V
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Rice formulae and Gaussian waves
We use Rice formulae in order to compute the moments of some level functionals which are linked to problems in oceanography and optics: the number of specular points in one and two dimensions, the distribution of the normal angle of level curves and the ...
Azaïs, Jean-Marc +2 more
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Approximation of backward stochastic differential equations using Malliavin weights and least-squares regression [PDF]
We design a numerical scheme for solving a Dynamic Programming equation with Malliavin weights arising from the time-discretization of backward stochastic differential equations with the integration by parts-representation of the $Z$-component by (Ann ...
Gobet, Emmanuel, Turkedjiev, Plamen
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Feature selection when there are many influential features
Recent discussion of the success of feature selection methods has argued that focusing on a relatively small number of features has been counterproductive.
Hall, Peter, Jin, Jiashun, Miller, Hugh
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Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive Likelihoods
We develop an interactive likelihood (ILH) for sequential Monte Carlo (SMC) methods for image-based multiple target tracking applications. The purpose of the ILH is to improve tracking accuracy by reducing the need for data association.
Anthony Hoak +2 more
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In this paper, we propose the specific recursion formula for the generalized labeled multi-Bernoulli filter based on the track-before-detect strategy (GLMB-TBD) using a belief propagation algorithm. The proposed method aims to track multiple weak targets
Chenghu Cao, Yongbo Zhao
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