This study models the relative expenditure of tourists in terms of budget allocation as a function of a set of co-variables. The purpose is to model how the tourist distributes its budget among the different items, what are the characteristics of the tourist that infer a certain relative spending pattern and if this pattern has…
Currently, information systems such as sensors produce a large amount of data, which is expected to experience exponential growth in the coming years. These data are often treated as time series, which are chronologically collected data representing a time-varying function. Time series appear in a wide range of scientific fields, such as hydrology, paleoclimatology or…
The Reduction of Emissions from Deforestation and forest Degradation (REDD) project was proposed and initiated in 2005. Monitoring of forest cover by statistical methodologies is a key pre-requisite. Forest cover is usually estimated at large scale by spatial sampling strategies, in which the study region is partitioned into polygons of equal size (e.g. quadrats). Then,…
This paper deals with small area estimation of poverty indicators. Small area estimators of these quantities are derived from partitioned time-dependent area-level linear mixed models. The introduced models are useful for modelling the different behaviour of the target variable by sex or any other dichotomic characteristic. The mean squared errors are estimated by explicit formulas….
We use a stochastic frontier analysis (SFA) approach to model the propagation of the COVID-19 epidemic across geographical areas. The proposed models permit reported and undocumented cases to be estimated, which is important as case counts are overwhelmingly believed to be undercounted. The models can be estimated using only epidemic-type data but are flexible enough…
We consider the problem of randomly allocating indivisible units of a resource among agents with conflicting claims on the resource. In the two-agent case, we characterize three focal rules combining axioms reflecting principles of compensation and sacrifice: probabilistic uniform awards, probabilistic uniform losses and probabilistic concede-and-divide. In the general case of n agents, the two…
Análisis de la protección de la innovación en el campo de la Inteligencia Artificial desde una perspectiva práctica. Tendencias en la protección de la IA. Obstáculos y ventajas competitivas que nos ofrece el sistema de patentes en este campo y casos de éxito que nos ayudan a inspirarnos.
Interior point methods (IPMs) have shown to behave very well in some classes of large-scale structured optimization problems. We will discuss a successful approach for block-angular structures that relies on the combination of Cholesky factorizations and preconditioned conjugate gradients for the normal equations. In the first part of the talk we will outline such specialized…
We contribute to the literature on the assessment of innovation systems by relating the amount of inputs available to the system and its performance through the concept of returns to scale (increasing, constant or decreasing). We study to what extent the size or scale of innovation systems relates to their performance, which is estimated through…
A project scheduling problem is defined by a set of activities, their precedence relations, and the corresponding execution times. The goal is to sequence and schedule the activities so that some performance measure of interest is optimized. Often, specific resources that exist in a limited amount are required to execute the activities. This extension of…
