Results 31 to 40 of about 2,354,212 (232)
The comparison of benchmark error sets is an essential tool for the evaluation of theories in computational chemistry. The standard ranking of methods by their Mean Unsigned Error is unsatisfactory for several reasons linked to the non-normality of the ...
Pernot, Pascal, Savin, Andreas
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Poissonization Principle for a Class of Additive Statistics
In this paper, we consider a class of additive functionals of a finite or countable collection of the group frequencies of an empirical point process that corresponds to, at most, a countable partition of the sample space.
Igor Borisov, Maman Jetpisbaev
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Probability and Statistics for Particle Physicists
Lectures presented at the 1st CERN Asia-Europe-Pacific School of High-Energy Physics, Fukuoka, Japan, 14-27 October 2012. A pedagogical selection of topics in probability and statistics is presented.
Ocariz, J.
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We present general conditions for the weak convergence of a discrete-time additive scheme to a stochastic process with memory in the space D [ 0 , T ] . Then we investigate the convergence of the related multiplicative scheme to a process that can
Yuliya Mishura +2 more
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Asymptotics: Particles, Processes and Inverse Problems. Festschrift for Piet Groeneboom
In September 2006, Piet Groeneboom officially retired as professor of statistics at Delft University of Technology and the Vrije Universiteit in Amsterdam.
Cator, Eric A. +4 more
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Survival probability and order statistics of diffusion on disordered media
We investigate the first passage time t_{j,N} to a given chemical or Euclidean distance of the first j of a set of N>>1 independent random walkers all initially placed on a site of a disordered medium.
A. Bunde +36 more
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Strict calculation of the light statistics at the output of a travelling wave optical amplifier [PDF]
A new method for calculating the probability density function of the photon number propagating through a travelling wave optical amplifier with no restriction on its working regime (linear and nonlinear) is reported. The authors show that the widely used
Guitart Felip, Jorge +1 more
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Statistical Aspects of High-Dimensional Sparse Artificial Neural Network Models
An artificial neural network (ANN) is an automatic way of capturing linear and nonlinear correlations, spatial and other structural dependence among features. This machine performs well in many application areas such as classification and prediction from
Kaixu Yang, Tapabrata Maiti
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Evidence: Admission of Mathematical Probability Statistics Held Erroneous for Want of Demonstration of Validity [PDF]
In State v. Sneed the New Mexico Supreme Court limited its disapproval of evidence of probability statistics to the particular facts presented but failed to articulate specific safeguards for subsequent use of such evidence. This note explores the nature
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