Results 1 to 10 of about 41,821 (95)

Diffusion Approximations of the Ruin Probability for the Insurer–Reinsurer Model Driven by a Renewal Process

open access: yesRisks, 2022
We introduce here a diffusion-type approximation of the ruin probability both in finite and infinite time for a two-dimensional risk process, where claims and premiums are shared with a predetermined proportion.
Krzysztof Burnecki   +2 more
doaj   +2 more sources

Simple approximations for the ruin probability in the risk model with stochastic premiums and a constant dividend strategy

open access: yesModern Stochastics: Theory and Applications, 2020
We deal with a generalization of the risk model with stochastic premiums where dividends are paid according to a constant dividend strategy and consider heuristic approximations for the ruin probability.
Olena Ragulina
doaj   +2 more sources

Practical approaches to the estimation of the ruin probability in a risk model with additional funds [PDF]

open access: yesModern Stochastics: Theory and Applications, 2015
We deal with a generalization of the classical risk model when an insurance company gets additional funds whenever a claim arrives and consider some practical approaches to the estimation of the ruin probability.
Yuliya Mishura   +2 more
doaj   +2 more sources

A new De Vylder type approximation of the ruin probability in infinite time [PDF]

open access: yes, 2003
In this paper we introduce a generalization of the De Vylder approximation. Our idea is to approximate the ruin probability with the one for a different process with gamma claims, matching first four moments. We compare the two approximations studying mixture of exponentials and lognormal claims.
Krzysztof Burnecki   +2 more
openaire   +2 more sources

Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks

open access: yesNeural computing & applications (Print), 2021
Modern deep learning models achieve state-of-the-art results for many tasks in computer vision, such as image classification and segmentation. However, its adoption into high-risk applications, e.g.
Pieter Van Molle   +7 more
semanticscholar   +1 more source

Weighted Quantile Regression Theory And Its Application Weibull Distribution As An Actuarial Risk Model: Computation Of Its Probability Of Ultimate Ruin And The Moments Of The Time To Ruin, Deficit At Ruin And Surplus Prior To Ruin

open access: yes, 2021
The Weibull distribution due to its suitability to adequately model data with high degree of positive skewness which is a typical characteristics of the claim amounts, is considered a versatile model for loss modeling in general Insurance. In this paper,
Jagriti Das, D. C. Nath
semanticscholar   +1 more source

Cell nuclei detection using globally optimal active contours with shape prior [PDF]

open access: yes, 2012
Cell nuclei detection in fluorescent microscopic images is an important and time consuming task for a wide range of biological applications. Blur, clutter, bleed through and partial occlusion of nuclei make this a challenging task for automated detection
E. Gladilin   +11 more
core   +1 more source

The De Vylder–Goovaerts conjecture holds within the diffusion limit

open access: yesJournal of Applied Probability, 2019
The De Vylder and Goovaerts conjecture is an open problem in risk theory, stating that the finite-time ruin probability in a standard risk model is greater than or equal to the corresponding ruin probability evaluated in an associated model with ...
S. Ankirchner   +2 more
semanticscholar   +1 more source

Leaf segmentation and tracking using probabilistic parametric active contours [PDF]

open access: yes, 2011
Active contours or snakes are widely used for segmentation and tracking. These techniques require the minimization of an energy function, which is generally a linear combination of a data fit term and a regularization term.
C. Xu   +12 more
core   +2 more sources

Generalization of a density theorem of Khinchin and diophantine approximation

open access: yesJournal de Théorie des Nombres de Bordeaux, 2023
Résumé. La version continue d’un résultat célèbre de Khinchin dit qu’une demi-droite torique dans le carré unitaire [0 , 1] 2 est superdense, c’est-à-dire vérifie une forme optimale de densité quantitative en temps, si et seulement si la pente de la ...
J. Beck, W.W.L. Chen
semanticscholar   +1 more source

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