Results 41 to 50 of about 876,733 (274)

The Partial Sums of the Least Squares Residuals of Spatial Observations Sampled According to a Probability Measure [PDF]

, 2013
A functional central limit theorem for a sequence of partial sums processes of the least squares residuals of a spatial linear regression model in which the observations are sampled according to a probability measure is established.
Somayasa, W. (Wayan)
core   +2 more sources

Identification of Browning in Human Adipocytes by Partial Least Squares Regression (PLSR), Infrared Spectral Biomarkers, and Partial Least Squares Discriminant Analysis (PLS-DA) Using FTIR Spectroscopy

Photonics, 2022
We aimed to identify the browning of white adipocytes using partial least squares regression (PLSR), infrared spectral biomarkers, and partial least squares discriminant analysis (PLS-DA) with FTIR spectroscopy instead of molecular biology.
Dong-Hyun Shon, Se-Jun Park, Suk-Jun Yoon, Yang-Hwan Ryu, Yong Ko   +4 more
doaj   +1 more source

Partial Least Squares Regression for Binary Data

Mathematics
Classical Partial Least Squares Regression (PLSR) models were developed primarily for continuous data, allowing dimensionality reduction while preserving relationships between predictors and responses. However, their application to binary data is limited.
Laura Vicente-Gonzalez, Elisa Frutos-Bernal, Jose Luis Vicente-Villardon   +2 more
doaj   +1 more source

Group‐wise partial least square regression

Journal of Chemometrics, 2017
AbstractThis paper introduces the group‐wise partial least squares (GPLS) regression. GPLS is a new sparse PLS technique where the sparsity structure is defined in terms of groups of correlated variables, similarly to what is done in the related group‐wise principal component analysis. These groups are found in correlation maps derived from the data to
José Camacho, Edoardo Saccenti
openaire   +5 more sources

Partial Least Squares tutorial for analyzing neuroimaging data [PDF]

Tutorials in Quantitative Methods for Psychology, 2014
Partial least squares (PLS) has become a respected and meaningful soft modeling analysis technique that can be applied to very large datasets where the number of factors or variables is greater than the number of ...
Patricia Van Roon, Jila Zakizadeh, Sylvain Chartier   +2 more
doaj  

Fitting and Cross-Validating Cox Models to Censored Big Data With Missing Values Using Extensions of Partial Least Squares Regression Models

Frontiers in Big Data, 2021
Fitting Cox models in a big data context -on a massive scale in terms of volume, intensity, and complexity exceeding the capacity of usual analytic tools-is often challenging. If some data are missing, it is even more difficult.
Frédéric Bertrand , Frédéric Bertrand , Myriam Maumy-Bertrand , Myriam Maumy-Bertrand    +3 more
doaj   +1 more source

Model Regresi Partial Least Squares (Pls) (Studi Kasus : Kinerja Satuan Kerja Sekretariat Daerah Kabupaten Tegal) [PDF]

, 2009
Metode regresi kuadrat terkecil parsial atau Partial Least Squares (PLS) adalah pemodelan ‘lunak' yang bebas asumsi sebaran. PLS dilakukan secara iteratif menggunakan algoritma NIPALS dan proses pendugaannya melibatkan variansi variabel Y dan variansi ...
Tahyudin, I. (Imam)
core  

Treatment Decision‐Making Roles and Preferences Among Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Decision‐making (DM) dynamics between adolescents and young adults (AYAs) with cancer, parents, and oncologists remain underexplored in diverse populations. We examined cancer treatment DM preferences among an ethnically and socioeconomically diverse group of AYAs and their parents.
Amanda M. Gutierrez, Jill O. Robinson, Wendy A. Allen‐Rhoades, Hadley S. Smith, Isabel Canfield, Rebecca L. Hsu, Sarah R. Scollon, Lauren R. Desrosiers‐Battu, Nicole M. Schneider, Frank Y. Lin, Donald Williams Parsons, Sharon E. Plon, Mary A. Majumder, Janet Malek, Amy L. McGuire   +14 more
wiley   +1 more source

Evaluation of Partial Least Squares Parameter Recovery [PDF]

, 2015
The purpose of this study was to evaluate the performance of Partial Least Squares under lessthan-ideal conditions selected to imitate real-world data. A simulation study with a 3×3×2×2 design was conducted.
Chumney, Frances
core   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source