Results 21 to 30 of about 64,903 (243)
Parameter-free restoration of piecewise smooth images
ETNA - Electronic Transactions on Numerical Analysis, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lanza, Alessandro +2 more
openaire +2 more sources
Resistant selection of the smoothing parameter for smoothing splines
Statistics and Computing, 2001 Robust automatic selection techniques for the smoothing parameter of a smoothing spline are introduced. They are based on a robust predictive error criterion and can be viewed as robust versions of Cp and cross-validation. They lead to smoothing splines which are stable and reliable in terms of mean squared error over a large spectrum of model ...
Cantoni, Eva, Ronchetti, Elvezio
openaire +3 more sources
IJEBD (International Journal of Entrepreneurship and Business Development), 2021 Purpose: As we know, COVID-19 affects the economy of most of the world, one of the investment media that continues to grow is mutual fund investment. This study aims to find the right time to invest by studying data in the previous period.
Achmad Muchayan +2 more
doaj +1 more source
Stats, 2020 In a functional linear model (FLM) with scalar response, the parameter curve quantifies the relationship between a functional explanatory variable and a scalar response.
Eduardo L. Montoya
doaj +1 more source
Dynamic smoothness parameter for fast gradient methods [PDF]
Optimization Letters, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
FRANGIONI, ANTONIO +2 more
openaire +2 more sources
Direct Determination of Smoothing Parameter for Penalized Spline Regression
Journal of Probability and Statistics, 2014 Penalized spline estimator is one of the useful smoothing methods. To construct the estimator, having goodness of fit and smoothness, the smoothing parameter should be appropriately selected. The purpose of this paper is to select the smoothing parameter
Takuma Yoshida
doaj +1 more source
Automatic Smoothing Parameter Selection: A Survey [PDF]
Empirical Economics, 1988 This is a survey of recent developments in smoothing parameter selection for curve estimation. The first goal of this paper is to provide an introduction to the methods available, with discussion at both a practical and also a nontechnical level, including comparison of methods.
openaire +1 more source
Remote Sensing, 2020 Accurate evaluation of start of season (SOS) changes is essential to assess the ecosystem’s response to climate change. Smoothing method is an understudied factor that can lead to great uncertainties in SOS extraction, and the applicable situation for ...
Nan Li +5 more
doaj +1 more source
Sequential Monte Carlo Smoothing with Parameter Estimation [PDF]
Bayesian Analysis, 2018 23 pages, 7 figures, 4 ...
Yang, Biao +2 more
openaire +3 more sources
Proceedings, 2018 Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric kernel hazard rate estimation (smoothed ...
Inés Barbeito, Ricardo Cao
doaj +1 more source