Dynamic Semiparametric Factor Models in Risk Neutral Density Estimation [PDF]
Dimension reduction techniques for functional data analysis model and approximate smooth random functions by lower dimensional objects. In many applications the focus of interest lies not only in dimension reduction but also in the dynamic behaviour of ...
Enzo Giacomini +2 more
core
Some asymptotic properties of kernel regression estimators of the mode for stationary and ergodic continuous time processes. [PDF]
Bouzebda S, Didi S.
europepmc +1 more source
Inference in Functional Linear Quantile Regression. [PDF]
Li M, Wang K, Maity A, Staicu AM.
europepmc +1 more source
Nonparametric methods for volatility density estimation
Stochastic volatility modelling of financial processes has become increasingly popular. The proposed models usually contain a stationary volatility process.
Spreij, Peter +2 more
core
Robust and efficient estimation of nonparametric generalized linear models. [PDF]
Kalogridis I, Claeskens G, Van Aelst S.
europepmc +1 more source
FUNCTIONAL SUFFICIENT DIMENSION REDUCTION THROUGH AVERAGE FRÉCHET DERIVATIVES. [PDF]
Lee KY, Li L.
europepmc +1 more source
Pointwise adaptive estimation for robust and quantile regression
A nonparametric procedure for robust regression estimation and for quantile regression is proposed which is completely data-driven and adapts locally to the regularity of the regression function. This is achieved by considering in each point M-estimators
Cuenod, Charles-Andre +2 more
core +1 more source
Variable selection for partially linear models via Bayesian subset modeling with diffusing prior. [PDF]
Wang J, Cai X, Li R.
europepmc +1 more source
Adaptive exact recovery in sparse nonparametric models. [PDF]
Stepanova N, Turcicova M.
europepmc +1 more source
Integrative analysis of high-dimensional quantile regression with contrasted penalization. [PDF]
Ren P, Liu X, Zhang X, Zhan P, Qiu T.
europepmc +1 more source

