Results 31 to 40 of about 1,637,129 (288)

An Efficient Estimation and Classification Methods for High Dimensional Data Using Robust Iteratively Reweighted SIMPLS Algorithm Based on nu-Support Vector Regression

IEEE Access, 2021
The statistically inspired modification of the partial least squares (SIMPLS) is the most commonly used algorithm to solve a partial least squares regression problem when the number of explanatory variables ( $p$ ) is larger than the sample size ( $n$ ).
Abdullah Mohammed Rashid, Habshah Midi, Waleed Dhhan Slwabi, Jayanthi Arasan   +3 more
doaj   +1 more source

Cellwise robust M regression [PDF]

Computational Statistics & Data Analysis, 2020
The cellwise robust M regression estimator is introduced as the first estimator of its kind that intrinsically yields both a map of cellwise outliers consistent with the linear model, and a vector of regression coefficients that is robust against vertical outliers and leverage points.
Peter Filzmoser, Sebastiaan Höppner, Irene Ortner, Sven Serneels, Tim Verdonck   +4 more
openaire   +3 more sources

Impact of MPC Embedded Performance Index on Control Quality

IEEE Access, 2021
Model Predictive Control (MPC) is a well-established advanced process control technology. There are many successful implementations of different predictive strategies in process industry.
Pawel D. Domanski, Maciej Lawrynczuk
doaj   +1 more source

Cluster-Robust Bootstrap Inference in Quantile Regression Models [PDF]

, 2015
In this paper I develop a wild bootstrap procedure for cluster-robust inference in linear quantile regression models. I show that the bootstrap leads to asymptotically valid inference on the entire quantile regression process in a setting with a large ...
Hagemann, Andreas
core   +4 more sources

Robust and Sparse Regression via $\gamma$-divergence

, 2016
In high-dimensional data, many sparse regression methods have been proposed. However, they may not be robust against outliers. Recently, the use of density power weight has been studied for robust parameter estimation and the corresponding divergences ...
Fujisawa, Hironori, Kawashima, Takayuki
core   +1 more source

Huber Regression Analysis with a Semi-Supervised Method

Mathematics, 2022
In this paper, we study the regularized Huber regression algorithm in a reproducing kernel Hilbert space (RKHS), which is applicable to both fully supervised and semi-supervised learning schemes.
Yue Wang, Baobin Wang, Chaoquan Peng, Xuefeng Li, Hong Yin   +4 more
doaj   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács, Zoltán Köllő, Balázs Gellért Karvaly, Mahmoud Obeidat, Rita Nagy, Péter Hegyi, Brigitta Teutsch, Eszter Tuboly, Miklós Garami   +8 more
wiley   +1 more source

Robust regression for large-scale neuroimaging studies [PDF]

, 2015
Multi-subject datasets used in neuroimaging group studies have a complex structure, as they exhibit non-stationary statistical properties across regions and display various artifacts.
,, Banaschewski, Tobias, Barker, Gareth J, Bokde, Arun L W, Brühl, Rüdiger, Butzek, Brigitte, Conrod, Patricia, Da Mota, Benoit, Flor, Herta, Fritsch, Virgile, Frouin, Vincent, Garavan, Hugh, Lemaitre, Hervé, Loth, Eva, Mann, Karl, Nees, Frauke, Paus, Tomas, Poline, Jean-Baptiste, Schad, Daniel J, Schümann, Gunter, Thirion, Bertrand, Varoquaux, Gaël   +21 more
core   +1 more source

Robust Dynamic Mode Decomposition

IEEE Access, 2022
This paper develops a robust dynamic mode decomposition (RDMD) method endowed with statistical and numerical robustness. Statistical robustness ensures estimation efficiency at the Gaussian and non-Gaussian probability distributions, including heavy ...
Amir Hossein Abolmasoumi, Marcos Netto, Lamine Mili   +2 more
doaj   +1 more source

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul, Jatuporn Sujjitjoon, Pa‐thai Yenchitsomanus, Kridtin Jarutatsanangkoon, Ng Wei Loon, Kleebsabai Sanpakit, Jassada Buaboonnam, Chayamon Takpradit, Pornpimon Yuti, Nunghathai Sawasdee, Piriya Luangwattananun, Siripakorn Sangkitporn, Arnan Limmahachai, La‐ongsri Atchaneeyasakul   +13 more
wiley   +1 more source