Javier Palarea-Albaladejo (U. Girona) – Advances in compositional data analysis with some recent scientific applications Título por determinar

Multivariate observations referring to parts of a whole, so-called compositions or compositional data in statistics, are common across varied scientific fields. This is for example the case when dealing with chemical concentrations, food nutritional contents, election vote shares, investment portfolios, time-use and behavioural patterns, relative abundances, amongst others. Their distinctive feature is that there is…

Seminario 22/1: Manuel Serrano (Bocconi University, Italia). The effect of Long-Term Care (LTC) benefits on healthcare use


Abstract:  This paper examines the role of LTC benefits on the use of primary and secondary care by exploring a detailed administrative database in Spain. We estimate the causal effect of receiving LTC benefits by exploiting exogenous variation in the leniency of the examiners who assess the claimants’ LTC needs. We find that a monthly LTC…

Seminario 21/22: Francisco Morillas (Universidad de Valencia): Un estudio de costes para el cambio de tecnología en el diagnóstico y tratamiento de enfermedades gastrointestinales


Este trabajo trata de determinar la conveniencia en el cambio de tecnología para la determinación de una enfermedad gastrointestinal. La determinación de la bacteria o virus que ataca al organismo puede ser determinante en las primeras horas, evitando posibles infecciones graves e incluso sepsis. Los dos procedimientos comparados son: (i) técnicas de cultivo estándar, utilizado…

Seminario 21/20: Antonio Manuel Durán (Universidad de Córdoba): Time series data mining and its applications in real-world problems

Time series

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…

Seminario 21/19: Maria Chiara Pagliarella (INAPP of Rome and University of Cassino and Southern Lazio): Areal sampling strategies for estimating totals and averages on a grid of quadrats: applications to forest surveys


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,…

Seminario 21/18: Maria Chiara Pagliarella (INAPP of Rome and University of Cassino and Southern Lazio): Small area estimation of poverty indicators under partitioned area-level time models


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….

Seminario 21/17: Luis Orea (Universidad de Oviedo): Estimating a stochastic epidemic frontier model that controls for undocumented COVID-19 cases with an application to Spain


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…

Seminario 21/15: Isabel Ibarra (Departamento de Innovación de Padima y Agente Europeo de Patentes): IA: nueva era en la protección


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.

Seminario 21/14: Jordi Castro (Universitat Politécnica de Cataluña): An interior-point solver for large block-angular problems and applications


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…

Seminario 21/13: Jose Luis Zofío (Universidad Autónoma de Madrid) : Is more always better? On the relevance of decreasing returns to scale on innovation


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…