All Stories

  1. Aggregated functional data model for near-infrared spectroscopy calibration and prediction
  2. Bayesian modeling of autoregressive partial linear models with scale mixture of normal errors
  3. A Hierarchical Model for Aggregated Functional Data
  4. Monte Carlo algorithm for trajectory optimization based on Markovian readings
  5. A penalized nonparametric method for nonlinear constrained optimization based on noisy data
  6. Non‐parametric estimation for aggregated functional data for electric load monitoring
  7. Consistent estimator for basis selection based on a proxy of the Kullback–Leibler distance
  8. Penalized maximum likelihood estimation for a function of the intensity of a Poisson point process
  9. Adaptive basis selection for functional data analysis via stochastic penalization
  10. A Bayesian Approach to Hybrid Splines Non-Parametric Regression
  11. Sequential adaptive nonparametric regression via h-splines
  12. Approximations for non-symmetric truncated sequential and repeated significance tests
  13. Density estimation via hybrid splines
  14. Prior selection by an adaptive smoothing splines approach