Seminario 19/17: M. Victoria Caballero (U. Murcia) – Symbolic Recurrence Rate to detect atrial fibrillation

Time Series

Atrial fibrillation (AF) is an abnormal rhythm of the heart that is felt as an irregular heartbeat or pulse. This disease is the most common sustained cardiac arrhythmia and increases the risk of heart failure and other heart complications. Paroxysmal AF (PAF) is defined as an intermittent AF that terminates spontaneously o with intervention in…

Seminario 19/2: Juan Vicente Llinares (UM) and Susana Álvarez (UM) – A New Index to Measure Educational Poverty and its Application to the OECD countries from PISA 2009 – 2015


Abstract: The consequences that educational underperformance has on both individuals and society as a whole lead policy makers and planners to focus on how to measure it properly. The aim of this paper is to propose an index to measure educational poverty which, taking as a starting point the economic literature on multidimensional poverty measurement,…

Seminario 18/25: Francisco Marcellán (Universidad Carlos III) A friendly approach to orthogonal polynomials and their applications

Ortogonal Polynomials

The theory of orthogonal polynomials constitutes a nice example of the interplay between classical analysis, numerical analysis, linear algebra, probability theory and mathematical physics. In this talk we will deal with orthogonal polynomials associated with measures supported on the real line with a special emphasis on the situations where they are eigenfunctions of higher order…

Seminario 18/22: Jesús Fernando López Fidalgo, Universidad de Navarra. Bayesian Optimal Experimental Design


El diseño experimental es la única situación en la que es significativo dentro de la teoría Bayesiana promediar sobre el espacio muestral. Como la muestra aún no se ha observado, se aplica el principio general de promediar sobre lo desconocido. Este marco justifica muchos criterios de optimalidad y abre nuevas posibilidades, por lo que varios…

Seminario 18/21: Allan Seheult, Mathematical Sciences, The University, Durham, England. Bayesian Method of Moments (BMOM) Analysis of Mean and Regression Models


A Bayesian method of moments/instrumental variable (BMOM/IV) approach is developed and applied in the analysis of the important mean and multiple regression models. Given a single set of data, it is shown how to obtain posterior and predictive moments without the use of likelihood functions, prior densities and Bayes’ Theorem. The posterior and predictive moments,…

Seminario 18/18: Iñaki Permanyer (Centre d’Estudis Demogràphics, Barcelona)- Measuring poverty in multidimensional contexts


Abstract: When measuring multidimensional poverty it is reasonable to expect that the trade-offs between variable pairs can differ depending on whether the concerned pairs are complements or substitutes. Yet, currently existing approaches based on deprivation count distributions unrealistically assume that all pairs of variables are related in the same way, an unfortunate circumstance that undermines…

Seminario 18/13: Karoon Suksonghong (Burapha University) – Modeling the demand for inbound tourism to Thailand: Panel data approach


Abstract This paper models the inbound tourism demand of Thailand by focusing on six major tourism markets, including China, Malaysia, South Korea, Japan, Russia, and India. Several economics variables widely used in the demand modeling literature were adopted. Besides, additional variables pertaining to environmental and security aspect were considered and incorporated into our investigated model….

Seminario 18/9: Xesús Pereira (U. Santiago de Compostela)- En la búsqueda de una formulación idónea para los cocientes de localización

Localizacion industrial

En el ámbito de la generación de tablas input-output regionales, se ha visto como la formulación de los cocientes de localización –desde las propuestas incipientes hasta la fórmula aumentada de Flegg– ha sufrido cambios. Ahora bien, las distintas modificaciones presentan cierta sencillez; en donde las tasas de variación del empleo o producción, así como el…

Seminario 17/18: M.M. Sánchez de la Vega (U. Murcia) – Estimation of Gross Value Added, Spatial Dependence and Panel Data: Evidence in Municipalities of Region of Murcia Case


The aim of this work is to propose a statistical methodology in order to estimate the macromagnitud Gross Value Added per capita (GVApc) in the local geographical area. The procedure proposed consists of estimating a panel model which includes Griffith’s spatial filtering (1996, 2000) to capture the spatial dependence in the whole analyzed period. The…

Seminario 17/15: Magdalena Kapelko (Wroclaw University of Economics) – Measuring Productivity Change Accounting for Adjustment Costs: Evidence from the Food Industry in the European Union


Abstract This paper extends the measurement of dynamic productivity change over time to provide its full decomposition into economically meaningful components in the Data Envelopment Analysis framework. The dynamic approach accounts for dynamics of production decisions via adjustment costs and is visualized as a dynamic Luenberger productivity change indicator. The paper also estimates the dynamic…