Parametric model

  1. Dynamic likelihood estimation can improve hazard rate fitting
    Semiparametric method for hazard rate estimation combining parametric efficiency with nonparametric flexibility through dynamic local likelihood smoothing
  2. Spline-based score-driven models allow flexible time-varying parameters
    Score-driven time-varying parameter model using spline-based densities without parametric assumptions, with applications to inflation and volatility filtering.