The additive model with different smoothness for the components [PDF]
, 2014 We consider an additive regression model consisting of two components $f^0$ and $g^0$, where the first component $f^0$ is in some sense "smoother" than the second $g^0$.
Muro, Alan, van de Geer, Sara
core
A Threshold Regularization Method for Inverse Problems [PDF]
, 2011 A number of regularization methods for discrete inverse problems consist in considering weighted versions of the usual least square solution. However, these so-called filter methods are generally restricted to monotonic transformations, e.g. the Tikhonov
Rochet, Paul
core +3 more sources
Aggregated functional data model for Near-Infrared Spectroscopy calibration and prediction [PDF]
, 2013 Calibration and prediction for NIR spectroscopy data are performed based on a functional interpretation of the Beer-Lambert formula. Considering that, for each chemical sample, the resulting spectrum is a continuous curve obtained as the summation of ...
Dias, Ronaldo +3 more
core
Sharp non-asymptotic oracle inequalities for nonparametric heteroscedastic regression models
, 2009 An adaptive nonparametric estimation procedure is constructed for heteroscedastic regression when the noise variance depends on the unknown regression.
Galtchouk, Leonid +1 more
core +1 more source
Unit upper truncated Weibull distribution with extension to 0 and 1 inflated model - Theory and applications. [PDF]
Heliyon, 2023 Okorie IE, Afuecheta E, Bakouch HS.
europepmc +1 more source
A Sensitivity Matrix Methodology for Inverse Problem Formulation [PDF]
, 2009 We propose an algorithm to select parameter subset combinations that can be estimated using an ordinary least-squares (OLS) inverse problem formulation with a given data set.
Banks, H. T. +3 more
core +2 more sources
Statistical inferences for single-index models with measurement errors. [PDF]
J Appl Stat, 2021 Huang Z, Lou W.
europepmc +1 more source
Accelerating the Pool-Adjacent-Violators Algorithm for Isotonic Distributional Regression. [PDF]
Methodol Comput Appl Probab, 2022 Henzi A, Mösching A, Dümbgen L.
europepmc +1 more source
Regression in tensor product spaces by the method of sieves. [PDF]
Electron J Stat, 2023 Zhang T, Simon N.
europepmc +1 more source
A SIEVE STOCHASTIC GRADIENT DESCENT ESTIMATOR FOR ONLINE NONPARAMETRIC REGRESSION IN SOBOLEV ELLIPSOIDS. [PDF]
Ann Stat, 2022 Zhang T, Simon N.
europepmc +1 more source