Results 21 to 30 of about 376,437 (294)

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, Pragliola, Monica, Sgallari, Fiorella   +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

On the Number of Independent Pieces of Information in a Functional Linear Model with a Scalar Response

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

Determining the Timing of Investment in Mutual Fund Products using the Double Exponential Smoothing Model

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, I Putu Artaya, Made Kamisutara   +2 more
doaj   +1 more source

A simple test for normality for time series [PDF]

, 2004
This paper considers testing for normality for correlated data. The proposed test procedure employs the skewness-kurtosis test statistic, but studentized by standard error estimators that are consistent under serial dependence of the observations.
Lobato, Ignacio N., Velasco, Carlos
core   +3 more sources

Dynamic smoothness parameter for fast gradient methods [PDF]

Optimization Letters, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
FRANGIONI, ANTONIO, Bernard Gendron, Enrico Gorgone   +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

Comparison of Remote Sensing Time-Series Smoothing Methods for Grassland Spring Phenology Extraction on the Qinghai–Tibetan Plateau

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, Pei Zhan, Yaozhong Pan, Xiufang Zhu, Muyi Li, Dujuan Zhang   +5 more
doaj   +1 more source

Effects of Smoothing Functions in Cosmological Counts-in-Cells Analysis [PDF]

, 2006
A method of counts-in-cells analysis of galaxy distribution is investigated with arbitrary smoothing functions in obtaining the galaxy counts. We explore the possiblity of optimizing the smoothing function, considering a series of $m$-weight Epanechnikov
Matsubara, Takahiko, Murata, Yoshitaka
core   +3 more sources