Results 131 to 140 of about 281,081 (285)

Adaptive orthogonal series estimation in additive stochastic regression models [PDF]

In this paper, we consider additive stochastic nonparametric regression models. By approximating the nonparametric components by a class of orthogonal series and using a generalized cross-validation criterion, an adaptive and simultaneous estimation ...
Howell Tong, Jiti Gao, Rodney C Wolff
core   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Curve fitting and jump detection on nonparametric regression with missing data. [PDF]

J Appl Stat, 2023
Li Q, Li J, Cheng Y, Zhang R.
europepmc   +1 more source

Testing strict monotonicity in nonparametric regression [PDF]

A new test for strict monotonicity of the regression function is proposed which is based on a composition of an estimate of the inverse of the regression function with a common regression estimate. This composition is equal to the identity if and only if
Birke, Melanie, Dette, Holger
core  

Management of Iron Overload in Infants and Toddlers With Diamond–Blackfan Anemia Syndrome: A French–Italian Study

American Journal of Hematology, EarlyView.
ABSTRACT Diamond–Blackfan Anemia Syndrome (DBAS) is a rare congenital anemia often requiring chronic red blood cell transfusions from infancy. Without appropriate chelation, iron overload develops early and may be severe; however, no data are available on chelation in patients under 3 years of age.
Francesca Torchio, Baptiste Lecalvez, Emanuela Garelli, Coralie Mallebranche, Adriana Carando, Marie‐Pierre Castex, Nathalie Garnier, Marco Zecca, Nathalie Aladjidi, Elisa Bertoni, Arthur Sterin, Maria Licciardello, Anne Sirvent, Antonella Sau, Isabelle Marie, Benedicte Bruno, Lydie M. Da Costa, Franca Fagioli, Paola Quarello, Thierry Leblanc   +19 more
wiley   +1 more source

Nonparametric Estimate of Regression Coefficients

The Annals of Mathematical Statistics, 1971
1. Summary and introduction. The present investigation is a follow up of [7] to a class of multiple regression problems, and is devoted to the construction of an estimate of regression parameter vector based on suitable rank statistics. Asymptotic linearity of these rank statistics in the multiple regression set up is established and the asymptotic ...
openaire   +2 more sources

Electrocardiographic and Skin Manifestations of Turner Syndrome: Association With Cardiovascular Disease

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Congenital heart disease (CHD) and dermatologic conditions such as lymphedema and acquired melanocytic nevi (AMN) are common in Turner Syndrome (TS). We hypothesized that abnormalities of cranial neural crest cell derivatives drive the skin and heart manifestations of TS. We conducted joint cardiac and skin examinations of volunteers at a 2023
Sarah Elsaim, Brett Vernier, Van Thi Thanh Truong, Riya T. Patel, Matthew Brown, Martin Chacon Portillo, Megan Rogge, David Rodriguez‐Buritica, Siddharth K. Prakash   +8 more
wiley   +1 more source

Combining parametric and nonparametric approaches for more efficient time series prediction [PDF]

We introduce a two-step procedure for more efficient nonparametric prediction of a strictly stationary process admitting an ARMA representation. The procedure is based on the estimation of the ARMA representation, followed by a nonparametric regression ...
Dabo-Niang, Sophie, Francq, Christian, Zakoian, Jean-Michel   +2 more
core   +1 more source

Nonparametric Regression with Dependent Errors

Bernoulli, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +5 more sources

Isotonic and Convex Regression: A Review of Theory, Algorithms, and Applications

Mathematics
Shape-restricted regression provides a flexible framework for estimating an unknown relationship between input variables and a response when little is known about the functional form, but qualitative structural information is available. In many practical
Eunji Lim
doaj   +1 more source