Patrícia Xufre
Patrícia Xufre
Associate Professor (Adjunct)

Patrícia Xufre is Assistant Professor of Quantitative Methods. She holds a PhD in Statistics and Operations Research from the Faculty of Science of the University of Lisbon (PhD Thesis: Neurocomputational methods to support trading decisions systems). She has earned her Master in Operations Research from the Faculty of Sciences of the University of Lisbon (Master Thesis: Forecasting non-stationary time series through neural networks).

Selected publications: Xufre, Patrícia, Rodrigues, António José,"Investment strategies based on supervised learning"?, Proceedings of 2011 IEEE Symposium on Computational Intelligence for Financial Engineering. IEEE (2011), pp. 132-139. Xufre Casqueiro, Patrícia, Rodrigues, António José,"Neuro-dynamic trading methods"?, European Journal of Operational Research 175 (2006), pp. 1400-1412.

She teaches Modelling and Optimization, Calculus, Algebra and Data Analysis in the undergraduate courses.

  • Brás-Geraldes, Carlos, Papoila, Ana, Xufre, Patricia (2020). Odds ratio function estimation using a generalized additive neural network. Neural Computing and Applications, 32 (8), 3459-3474.
  • Brás-Geraldes, Carlos , Papoila, Ana, Xufre, Patrícia (2019). Generalized additive neural network with flexible parametric link function: model estimation using simulated and real clinical data. Neural Computing & Applications, 31 (3), 719-736.
  • Xufre, Patrícia, Rodrigues, António J.L. (2006). Neuro-dynamic trading methods. European Journal of Operational Research, 175 (3), 1400-1412.
  • Coelho, Pedro Simões, Pereira, Luis Nobre, Pinheiro, José António, Xufre, Patrícia (2017). As sondagens: Princípios, metodologias e aplicações. Escolar Editora.
  • Xufre, Patrícia, Silva, Pedro Luís Marques Correia da , Mendes, Diogo Gonçalo de Matos (2017). Análise em Rn. Escolar Editora.
  • Papoila, Ana Luisa, Rocha, Cristina, Geraldes, Carlos, Xufre, Patricia (2013). Generalized linear models, generalized additive models and neural networks: Comparative study in medical applications. Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies. Springer International Publishing, 317-324.