Artículos (Estadística e Investigación Operativa)
Recent Submissions
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E-commerce shipping through a third-party supply chain
(Elsevier, 2020-05-09)We consider an e-commerce retailer who must ship orders from a warehouse to a set of customers with delivery deadlines. ...
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Portfolio problems with two levels decision-makers: Optimal portfolio selection with pricing decisions on transaction costs
(Elsevier, 2019-12-26)This paper presents novel bilevel leader-follower portfolio selection problems in which the financial intermediary becomes ...
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Continuous location under the effect of ‘refraction’
(Springer, 2016-03-08)In this paper we address the problem of locating a new facility on a d-dimensional space when the distance measure (- or ...
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A comparative study of formulations and solution methods for the discrete ordered p-median problem
(Elsevier, 2016-06-06)This paper presents several new formulations for the Discrete Ordered Median Problem (DOMP) based on its similarity with ...
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A fresh view on the Discrete Ordered Median Problem based on partial monotonicity
(Elsevier, 2020-04-14)This paper presents new results for the Discrete Ordered Median Problem (DOMP). It exploits properties of k-sum optimization ...
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Identification problem in plug-flow chemical reactors using the adjoint method
(Elsevier, 2016-11-25)The aim of this work is to solve identification problems in plug-flow chemical reactors. For this purpose an adjoint-based ...
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On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19
(Elsevier, 2021-12-01)Since the seminal paper by Bates and Granger in 1969, a vast number of ensemble methods that combine different base ...
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Bayesian Influence Diagnostics in Radiocarbon Dating
(Taylor & Francis, 2012-08-27)Linear models constitute the primary statistical technique for any experimental science. A major topic in this area is the ...
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Generalized Pareto processes for simulating space-time extreme events: an application to precipitation reanalyses
(Springer, 2020-10-03)To better manage the risks of destructive natural disasters, impact models can be fed with simulations of extreme scenarios ...
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On multivariate extensions of the conditional Value-at-Risk measure
(Elsevier, 2015-03-12)CoVaR is a systemic risk measure proposed by Adrian and Brunnermeier (2011) able to measure a financial institution’s ...
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Estimation of extreme quantiles conditioning on multivariate critical layers
(Wiley, 2016-02-08)Let Ti:=[Xi|X∈∂L(α)], for i = 1,…,d, where X = (X1,…,Xd) is a risk vector and ∂L(α) is the associated multivariate critical ...
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Estimation of extreme Component-wise Excess design realization: a hydrological application
(Springer, 2017-02-09)The classic univariate risk measure in environmental sciences is the Return Period (RP). The RP is traditionally defined ...
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Smooth copula-based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada
(Wiley, 2023-02-11)This paper proposes a smooth copula-based Generalized Extreme Value (GEV) model to map and predict extreme rainfall in ...
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On the exact reproduction number in SIS epidemic models with vertical transmission
(Springer, 2023-08-22)This paper proposes a bi-variate competition process to describe the spread of epidemics of SIS type through both horizontal ...
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A Markov chain model to investigate the spread of antibiotic-resistant bacteria in hospitals
(Wiley, 2023-08-31)Ordinary differential equation models used in mathematical epidemiology assume explicitly or implicitly large populations. ...
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The effect of axial spondyloarthritis on mental health: Results from the Atlas
(The Journal of Rheumatology Publishing Co. Ltd., 2019)Objective: To assess the risk for mental disorders in patients with axSpA and to examine the associated factors with this. ...
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Can the Mode and Time of Commuting to Work Affect Mental Health?
(Elsevier, 2021)Background: Commuting to work is an important part of many people's daily life, with travel times increasing steadily and ...
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Testing Poissonity of a large number of populations
(Springer, 2023-09-29)This paper studies the problem of simultaneously testing that each of k samples, coming from k count variables, were all ...
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Testing normality of a large number of populations
(Springer, 2023-02-12)This paper studies the problem of simultaneously testing that each of k independent samples come from a normal population. ...
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Testing for proportions when data are classified into a large number of groups
(Elsevier, 2024-05-11)When dealing with categorical data, a common concern is to check if the observed relative frequencies agree with a certain ...