On Bayesian wavelet shrinkage estimation of nonparametric regression models with stationary errors
ARS Sousa, M Zevallos - arXiv preprint arXiv:2404.14623, 2024 - arxiv.org
This work proposes a Bayesian rule based on the mixture of a point mass function at zero
and the logistic distribution to perform wavelet shrinkage in nonparametric regression …
and the logistic distribution to perform wavelet shrinkage in nonparametric regression …
Optimiation Wavelet Thresholding in Non-Stationary Time-Series Analysis for Treatments Tuberculosis Case Patients: Optimiation Wavelet Thresholding in Non …
SS Nurhendratno, MYT Sulistyono - Current Opinion, 2024 - currentopinion.be
Non-stationary time series (TS) analysis has gained great interest over the last few decades
in various applied sciences. In fact, several decomposition methods were developed to …
in various applied sciences. In fact, several decomposition methods were developed to …