Statistics and Risk Management

NOVA Math > Research Groups > Statistics and Risk Management

Statistics
and Risk Management

About

The Statistics and Risk Management group activity covers a wide range of subjects that are encompassed in three main research lines: Statistical Inference, Distribution Theory and Actuarial and Financial Mathematics. Within Statistical Inference we study various extensions of linear models with special focus in analysis of variance for models with a random number of observations. Concerning Distribution Theory there are two main research areas: near-exact distributions for likelihood ratio test statistics and extreme value theory. In Actuarial and Financial Mathematics we spread over the classical actuarial problems in risk theory, to new models for pricing and hedging derivative products, passing through Markov chain models applications to credit scoring and insurance bonus-malus models.

Frederico Almeida Gião Gonçalves Caeiro

Statistics and Risk Management Coordinator

Team

Publications

A decade of urban fires: Portuguese events between 2013 and 2022
2023, SCIENTIFIC DATA, Bispo,R;Marques,FJ;Penha,A;Espadinha Cruz,P;Grilo,A
A Literature Review on Networks and Sustainable Development in Sea Tourism Entrepreneurship
2023, SUSTAINABILITY, Costa,T;Calisto,MD;Nunes,S;Dias,M
A New Class of Generalized Probability-Weighted Moment Estimators for the Pareto Distribution
2023, MATHEMATICS, Caeiro,F;Mateus,A
A risk model for Forest fires based on asymptotic results for multivariate collective models. Single models and structured families of models
2023, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, Cantarinha,A;Moreira,E;Oliveira,M;Marques,S;Mexia,JT
A toolbox of machine learning software to support microbiome analysis
2023, FRONTIERS IN MICROBIOLOGY, Marcos Zambrano,LJ;Lopez Molina,VM;Bakir Gungor,B;Frohme,M;Karaduzovic Hadziabdic,K;Klammsteiner,T;Ibrahimi,E;Lahti,L;Loncar Turukalo,T;Dhamo,X;Simeon,A;Nechyporenko,A;Pio,G;Przymus,P;Sampri,A;Trajkovik,V;Lacruz Pleguezuelos,B;Aasmets,O;Araujo,R;Anagnostopoulos,I;Aydemir,O;Berland,M;Calle,ML;Ceci,M;Duman,H;Guendogdu,A;Havulinna,AS;Kaka Bra,KHNK;Kalluci,E;Karav,S;Lode,D;Lopes,MB;May,P;Nap,B;Nedyalkova,M;Paciencia,I;Pasic,L;Pujolassos,M;Shigdel,R;Susin,A;Thiele,I;Truica,CO;Wilmes,P;Yilmaz,E;Yousef,M;Claesson,MJ;Truu,J;Carrillo...
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
2023, Frontiers in Microbiology, D'Elia,D;Truu,J;Lahti,L;Berland,M;Papoutsoglou,G;Ceci,M;Zomer,A;Lopes,B;Ibrahimi,E;Gruca,A;Nechyporenko,A;Frohme,M;Klammsteiner,T;Pau,ECS;Marcos Zambrano,LJ;Hron,K;Pio,G;Simeon,A;Suharoschi,R;Moreno Indias,I;Temko,A;Nedyalkova,M;Apostol,E;Truica,C;Shigdel,R;Telalovic,JH;Bongcam Rudloff,E;Przymus,P;Jordamovic,NB;Falquet,L;Tarazona,S;Sampri,A;Isola,G;Pérez Serrano,D;Trajkovik,V;Klucar,L;Loncar...
An Outlook on the Facilitators' Perspectives of a Cocreation Project at a Higher Education Institution
2023, The Impact of HEIs on Regional Development: Facts and Practices of Collaborative Work With SMEs, Nunes,S;Carvalho,L;Moreira,B;Pereira,R;Mares,P;Santos,P
Analysis of a passive ankle exoskeleton for reduction of metabolic costs during walking
2023, Defence Technology, Quinto,L;Pinheiro,P;Goncalves,B;Roupa,I;Simoes,P;Tavares da Silva,M
ANALYSIS OF FLAWS IN GRAPHICAL REPRESENTATIONS OF STATISTICAL DATA IN THE FIELD OF OCCUPATIONAL SAFETYAND HEALTH
2023, CADERNOS EDUCACAO TECNOLOGIA E SOCIEDADE, Santos,C;Dias,C;Dias,A;Santos,C
Black Scabbardfish Species Distribution: Geostatistical Inference Under Preferential Sampling
2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Simoes,P;Carvalho,M;Figueiredo,I;Monteiro,A;Natario,I

Projects

HEATMan – Gestão do calor em equipas NRBQ
Exército Português – CINAMIL, Paula Simões
Link Me Up – 1000 ideias
ERASMUS+/União Europeia, Cristina Dias
MoSBurn: Modeling the multifactorial burnout syndrome in college students
FCT - Fundação para a Ciência e a Tecnologia, I.P., Luís Miguel Grilo
OMNI BEAST
Project n.: 2018-1-PL01-KA203-051137 Erasmus + Programme Key Action 2: Strategic Partnerships for higher...
PerMediK: Personalized medicine in chronic kidney disease: improved outcome based on Big Data
COST - European Cooperation in Science and Technology (EU), Marta Belchior Lopes
PrISAEx-Proteção de Infraestruturas Sujeitas a Ações Extremas
Exército Português – CINAMIL, Paula Simões
SHIFT - Sustainability-oriented, Highly-interactive and Innovation-based Framework for Tourism Marketing
FCT - Fundação para a Ciência e a Tecnologia, I.P., Sandra Nunes
SmartVest - Vestuário inteligente para monitorização em tempo real dos parâmetros fisiológicos das Equipas NBQR
Exército Português – CINAMIL, Paula Simões
VOOmics: OMICs approaches to reveal the anticancer properties of Virgin Olive Oil
FCT - Fundação para a Ciência e a Tecnologia, I.P., Marta Belchior Lopes
“OMNI - BE Aware STudent”
ERASMUS+, Cristina Dias

Software

 
    • Sá Ferreira M, Bispo R (2023). RWgraph: Random Walks on Graphs Representing a Transactional Network. R package version 1.0.0, https://CRAN.R-project.org/package=RWgraph
    • Caeiro F,  Mateus A (2022). randtests: Testing Randomness in R. R package version 1.0.1, https://CRAN.R-project.org/package=randtests
    • a computational module with the implementation of the exact distribution and approximations for the Bartels randomness test statistic: see Appendix
    • a package with the implementation of the main threshold selection methods: see here