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World of Statistics  
   
 

Raquel Menezes da Mota Leite
()

Prof. Auxiliar
Departamento de Matemática e Aplicações
Universidade do Minho
Campus de Gualtar - 4710-057 Braga
Campus de Azurém - 4800-058 Guimarães


Raquel Menezes da Mota Leite
Educação:
  • PhD in 'Mathematics / Statistics', Santiago de Compostela University, December 2005.
  • Postgraduate studies in 'Statistics' (DEA-Diploma de Estudios Avanzados), Santiago de Compostela University, September 2002.
  • MSc in 'Computer Science', Minho University, June 1996.
  • BSc in 'Applied Mathematics / Computer Science', Faculty of Sciences, Porto University, July 1989.
Investigação: Assuntos de interesse:
  • Spatial Statistics, primarily Geostatistics
  • Temporal statistics and analysis of Spatio-Temporal data
  • Non-Parametric Estimation
Outras actividades Profissionais:
Disciplinas leccionadas:
  • Spatio-temporal statistical modelling (MSc in Statistics)
  • Introduction to statistics and probability (MSc in Statistics)
  • Stochastic processes (BSc in Applied Statistics)
  • Time series (BSc in Applied Statistics)
Publicações mais recentes:
  • R.Menezes, H.Piairo, P.Garcia-Soidán and I.Sousa (2015). Spatial–temporal modellization of the NO2 concentration data through geostatistical tools. Journal of Statistical Methods & Applications, 1-18
     
  • H.Piairo, R.Menezes, I.Sousa, R.Figueira and C.Sérgio (2014). Spatial modelling of factor analysis scores. The case of heavy metals biomonitoring in mainland Portugal. Environmental Science and Pollution Research, Volume 21, Issue 23, pp 13420-13433.
     
  • L.Margalho, R.Menezes and I.Sousa (2014). Assessing interpolation errors under a spatio-temporal model. Journal of Stochastic Environmental Research and Risk Assessment, vol 28, issue 5, 1307- 1321.
     
  • P.Garcia-Soidán, R.Menezes and O.Rubinos-Lopez (2014). Bootstrap approaches for spatial data. Journal of Stochastic Environmental Research and Risk, vol 28, issue 5, 1207-1219.
     
  • P.Garcia-Soidán and R.Menezes (2012). Estimation of the spatial distribution through the kernel indicator variogram. Environmetrics, vol 23, issue 6, 535-548.
     
Outras Publicações relevantes:
  • P.Diggle, R.Menezes and Ting-Li Su (2010). Geostatistical Inference under Preferential Sampling. Journal of Royal Statistics Society, series C, vol 59, part 2, 191-232 (with discussion).
     
  • R.Menezes and A. Manuela Goncalves (2014). Spatio-temporal stochastic modelling (METMAVI). Stochastic Environmental Research and Risk Assessment, editorial letter, vol 28, issue 5, 1167-1169.
     
  • Held, L., Menezes R. and Sousa, I. (2014), METMAVI -VIth International Workshop on Spatio- Temporal Modelling. Biometrical Journal, editorial letter, 56: 361-362.
     
  • P.Garcia-Soidán, R.Menezes and Oscar Rubinos-Lopez (2012). An approach for valid covariance estimation via the Fourier series. Journal of Environmental Earth Sciences, Volume 66, Number 2, 615-624.
     
  • R.Menezes and J.Tawn (2009). Assessing the effect of clustered and biased multi-stage sampling. Environmetrics, vol 20, issue 4, 445-459.
     

 

     
 
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