Zobrazeno 1 - 10
of 2 069
pro vyhledávání: '"Mulero, P."'
Distorted distributions were introduced in the context of actuarial science for several variety of insurance problems. In this paper we consider the quantile-based probabilistic mean value theorem given in Di Crescenzo et al. [4] and provide some app
Externí odkaz:
http://arxiv.org/abs/2501.00362
Robotic grasp and manipulation taxonomies, inspired by observing human manipulation strategies, can provide key guidance for tasks ranging from robotic gripper design to the development of manipulation algorithms. The existing grasp and manipulation
Externí odkaz:
http://arxiv.org/abs/2412.20998
Publikováno v:
TEST Volume 31 (2022) Pages 879-900
Considered a pair of random lifetimes whose dependence is described by a Time Transformed Exponential model, we provide analytical expressions for the distribution of their sum. These expressions are obtained by using a representation of the joint di
Externí odkaz:
http://arxiv.org/abs/2412.09151
Autor:
Navarro, Jorge, Mulero, Julio
Publikováno v:
TEST 2020 Volume 29, 255-281
The coherent systems are basic concepts in reliability theory and survival analysis. They contain as particular cases the popular series, parallel and $k$-ou-of-$n$ systems (order statistics). Many results have been obtained for them by assuming that
Externí odkaz:
http://arxiv.org/abs/2412.09129
Publikováno v:
Communications in Statistics - Theory and Methods 2020 Volume 51, Issue 3, 767-788
In this paper we provide a new criterion for the comparison of claims, when we have conditional claims arising in stop loss contracts or contracts with franchise deductible. These stochastic comparisons are made on the basis of the Tail Value at Risk
Externí odkaz:
http://arxiv.org/abs/2412.08456
Publikováno v:
Mathematics 2020, 8, 1181
In risk theory, financial asset returns often follow heavy-tailed distributions. Investors and risk managers used to compare risk measures as the value at risk or tail value at risk in order over the whole confidence levels to avoid the exposure to t
Externí odkaz:
http://arxiv.org/abs/2412.08440
Publikováno v:
Computers & Industrial Engineering 128 (2019) 24-31
In this paper we describe a general approach to optimal imperfect maintenance activities of a repairable equipment with independent components. Most of the existing works on optimal imperfect maintenance activities of a repairable equipment with inde
Externí odkaz:
http://arxiv.org/abs/2412.08380
Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context
Autor:
Benavent-Lledo, Manuel, Mulero-Pérez, David, Ortiz-Perez, David, Garcia-Rodriguez, Jose, Argyros, Antonis
The sequential execution of actions and their hierarchical structure consisting of different levels of abstraction, provide features that remain unexplored in the task of action recognition. In this study, we present a novel approach to improve actio
Externí odkaz:
http://arxiv.org/abs/2410.21275
Autor:
Longhini, Alberta, Wang, Yufei, Garcia-Camacho, Irene, Blanco-Mulero, David, Moletta, Marco, Welle, Michael, Alenyà, Guillem, Yin, Hang, Erickson, Zackory, Held, David, Borràs, Júlia, Kragic, Danica
The realm of textiles spans clothing, households, healthcare, sports, and industrial applications. The deformable nature of these objects poses unique challenges that prior work on rigid objects cannot fully address. The increasing interest within th
Externí odkaz:
http://arxiv.org/abs/2407.01361
Imitation Learning (IL) is a promising paradigm for learning dynamic manipulation of deformable objects since it does not depend on difficult-to-create accurate simulations of such objects. However, the translation of motions demonstrated by a human
Externí odkaz:
http://arxiv.org/abs/2403.12685