Search Results - BOTELLA-ROCAMORA, P

  • Showing 1 - 7 results of 7
Refine Results
  1. 1
    On-line learning of indoor temperature forecasting models towards energy efficiency

    On-line learning of indoor temperature forecasting models towards energy efficiency by Zamora-Martínez, F., Romeu, P., Botella-Rocamora, P., Pardo, J.

    Published in Energy and buildings
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  2. 2
    A unifying modeling framework for highly multivariate disease mapping

    A unifying modeling framework for highly multivariate disease mapping by Botella-Rocamora, P., Martinez-Beneito, M.A., Banerjee, S.

    Published in Statistics in medicine
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  3. 3
    An autoregressive approach to spatio-temporal disease mapping

    An autoregressive approach to spatio-temporal disease mapping by Martínez-Beneito, M. A., López-Quilez, A., Botella-Rocamora, P.

    Published in Statistics in medicine
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  4. 4
    Spatial moving average risk smoothing

    Spatial moving average risk smoothing by Botella-Rocamora, P., López-Quílez, A., Martinez-Beneito, M. A.

    Published in Statistics in medicine
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  5. 5
    On the convenience of heteroscedasticity in highly multivariate disease mapping

    On the convenience of heteroscedasticity in highly multivariate disease mapping by Corpas-Burgos, F., Botella-Rocamora, P., Martinez-Beneito, M. A.

    Published in Test (Madrid, Spain)
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  6. 6
    Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models

    Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models by Adin, A., Martínez-Beneito, M. A., Botella-Rocamora, P., Goicoa, T., Ugarte, M. D.

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  7. 7
    On-line learning of indoor temperature forecasting models towards energy efficiency: Science Behind and Beyond the Solar Decathlon Europe 2012 Competition

    On-line learning of indoor temperature forecasting models towards energy efficiency: Science Behind and Beyond the Solar Decathlon Europe 2012 Competition by ZAMORA-MARTINEZ, F, ROMEU, P, BOTELLA-ROCAMORA, P, PARDO, J

    Published in Energy and buildings
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: