Results 51 to 60 of about 113,551 (160)
Geometric probability theory and Jaynes’s methodology
We provide a generalization of the approach to geometric probability advanced by the great mathematician Gian Carlo Rota, in order to apply it to generalized probabilistic physical theories. In particular, we use this generalization to provide an improvement of the Jaynes’ MaxEnt method.
Holik, Federico +2 more
openaire +5 more sources
On the Probabilities of Correlated Defaults: a First Passage Time Approach
This article investigates the joint probability of correlated defaults in the first passage time approach of credit risk subject to condition that the underlying firms’ assets values and the default boundaries follow geometric Brownian motion processes ...
M. Valužis
doaj +1 more source
On Central Limit Theorems in Geometrical Probability
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Avram, Florin., Bertsimas, Dimitris
openaire +3 more sources
Isometric Signal Processing under Information Geometric Framework
Information geometry is the study of the intrinsic geometric properties of manifolds consisting of a probability distribution and provides a deeper understanding of statistical inference.
Hao Wu, Yongqiang Cheng, Hongqiang Wang
doaj +1 more source
A Family of High Continuity Subdivision Schemes Based on Probability Distribution
Subdivision schemes are famous for the generation of smooth curves and surfaces in CAGD (Computer Aided Geometric Design). The continuity is an important property of subdivision schemes.
Muhammad Asghar +2 more
doaj
The stress intensity factor (SIF) and the degree of bending (DoB) are among the crucial parameters in evaluating the fatigue reliability of offshore tubular joints based on the fracture mechanics (FM) approach. The value of SIF is a function of the crack
Hamid Ahmadi, Amirreza Ghaffari
doaj +1 more source
In this paper, the notion of probability is not undefined, so we extend to multilinear indices qualitative axioms which are not in conflict with those characterizing the development of modern probability theory: this is the main objective achieved by the
Pierpaolo Angelini
doaj +1 more source
This paper introduces two new goodness-of-fit tests for the geometric distribution based on discrete adaptations of the Watson W2 and Anderson-Darling A2 statistics, where the probability of success is unknown.
Héctor Francisco Coronel-Brizio +4 more
doaj +1 more source
Geometric Gaussian Approximations of Probability Distributions
Approximating complex probability distributions, such as Bayesian posterior distributions, is of central interest in many applications. We study the expressivity of geometric Gaussian approximations. These consist of approximations by Gaussian pushforwards through diffeomorphisms or Riemannian exponential maps. We first review these two different kinds
Nathaël Da Costa +2 more
openaire +3 more sources

