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Martino, Sara

  1. Integrated Nested Laplace Approximations (INLA)
    2019/07/02 by Sara Martino, Martino, Sara, Andrea Riebler +1 · 4 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
  2. Estimation of a non-stationary model for annual precipitation in\n southern Norway using replicates of the spatial field
    2014/12/08 by Rikke Ingebrigtsen, Ingebrigtsen, Rikke, Finn Lindgren +5 · 1 citation
    Decision Sciences · Economics, Econometrics and Finance · Social Sciences · #Applications (stat.AP) #FOS: Computer and information sciences #Insurance, Mortality, Demography, Risk Management #Methodology (stat.ME) #Spatial and Panel Data Analysis #demographic modeling and climate adaptation
  3. An Efficient Workflow for Modelling High-Dimensional Spatial Extremes
    2022/10/03 by Vandeskog, Silius M., Martino, Sara, Huser, Raphaël · 1 citation
    #Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)
  4. Integration of presence-only data from several sources. A case study on dolphins' spatial distribution
    2021/03/30 by Martino, Sara, Pace, Daniela Silvia, Moro, Stefano +8 · 1 citation
    #Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Methodology (stat.ME) #Quantitative Methods (q-bio.QM)
  5. A Data Fusion Model for Meteorological Data using the INLA-SPDE method
    2024/04/12 by Stephen Jun Villejo, Sara Martino, Villejo, Stephen Jun +5 · 2 citations
    Computer Science · #Advanced Computational Techniques and Applications #Applications (stat.AP) #FOS: Computer and information sciences
  6. Spatio-temporal Occupancy Models with INLA
    2024/03/15 by Jafet Belmont, Belmont, Jafet, Sara Martino +5 · 1 citation
    Computer Science · Earth and Planetary Sciences · Social Sciences · #Applications (stat.AP) #Context-Aware Activity Recognition Systems #Environmental Monitoring and Data Management #FOS: Computer and information sciences #Geographic Information Systems Studies #Methodology (stat.ME)