miércoles, 29 de julio de 2020

Award decision of the first edition of the SEIO - BBVA Foundation

The committee of the 2020 Spanish Society of Statistics and Operations Research – BBVA Foundation Awards met online on 27 July, 2020:


Daniel Peña Sánchez de Rivera (Universidad Carlos III de Madrid)


Elena Fernández Aréizaga (Universidad de Cádiz)
Ana Fernández Militino (Universidad Pública de Navarra)
Ivette Gomes (Universidade de Lisboa)
Gilbert Laporte (HEC Montréal)
Maria Grazia Speranza (Università degli Studi di Brescia)

Under the chairmanship of Prof. Daniel Peña Sánchez de Rivera, and after analyzing and deliberating on the merits of the contributions presented and accepted as valid, the committee has agreed to bestow the awards as follows:

Award: Best methodological contribution in the Statistics field.

Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes

Juan A. Cuesta-Albertos, Eduardo García-Portugués, Manuel Febrero-Bande, Wenceslao González-Manteiga

This is an outstanding work published in one of the leading statistical journals which solves a difficult long-standing problem in functional linear modelling and provide a fully nonparametric approach. The new test has remarkable computational advantages over existing tests while retaining a comparable power. The authors also developed an R package for the procedure.

Award: Best methodological contribution in the Operations Research field.

A Verification Theorem for Threshold-Indexability of Real-State Discounted Restless Bandits

José Niño-Mora

This is a relevant and deep novel contribution on a topic with multiple applications in various fields like Machine Learning, Vehicle Control where telemetry data have to be transmitted from vehicles to ground stations, or on-line marketing. The jury has also appreciated the highly enthusiastic support letters.

Award: Best applied contribution with impact in the social arena, innovation or knowledge transfer in the Statistics field.

Assessing thermal comfort and energy efficiency in buildings by statistical quality control for autocorrelated data

Inés Barbeito, Sonia Zaragoza, Javier Tarrío-Saavedra, Salvador Naya

This is an innovative and interdisciplinary application in the statistical quality control field. The procedure, implemented in R, controls and supervises the thermal comfort and energy consumption in buildings using data retrieved from an ad hoc big data web energy platform, and also calculates the corresponding energy savings.

Award: Best applied contribution with impact in the social arena, innovation or knowledge transfer in the Operations Research field.

Chronological Time-Period Clustering for Optimal Capacity Expansion Planning with Storage

Salvador Pineda, Juan M. Morales

This is an interesting application of OR to the field of energy generation and capacity extension in power systems. This application area is very relevant, due to the massive usage of energy nowadays and the huge cost of the involved operations.

The clustering method proposed by the authors outperforms the existing ones, as shown in the experimental analysis carried out on a case study involving real data.

The decision was ratified by the SEIO Executive Committee at its meeting on July 28, 2020.