Results 101 to 110 of about 3,495,066 (309)

Multivariate and semiparametric kernel regression [PDF]

, 1997
The paper gives an introduction to theory and application of multivariate and semiparametric kernel smoothing. Multivariate nonparametric density estimation is an often used pilot tool for examining the structure of data. Regression smoothing helps in investigating the association between covariates and responses.
Härdle, Wolfgang, Müller, Marlene
openaire   +2 more sources

A Cluster Elastic Net for Multivariate Regression

J. Mach. Learn. Res., 2017
We propose a method for estimating coefficients in multivariate regression when there is a clustering structure to the response variables. The proposed method includes a fusion penalty, to shrink the difference in fitted values from responses in the same cluster, and an L1 penalty for simultaneous variable selection and estimation.
Price, Bradley S., Sherwood, Ben
openaire   +4 more sources

Optimal tolerance regions for future regression vector and residual sum of squares of multiple regression model with multivariate spherically contoured errors [PDF]

, 2009
This paper considers multiple regression model with multivariate spherically symmetric errors to determine optimal β-expectation tolerance regions for the future regression vector (FRV) and future residual sum of squares (FRSS) by using the prediction ...
Khan, Shahjahan
core   +1 more source

Mucocutaneous Disease Activity and Damage Accrual in Systemic Lupus Erythematosus: Analyses From the Asia‐Pacific Lupus Collaboration Longitudinal Cohort Study

Arthritis Care &Research, EarlyView.
Objective This research article aims to describe the prevalence, associations, and health‐related quality of life (HRQoL) impact of mucocutaneous features of systemic lupus erythematosus (SLE). Methods Data from the Asia‐Pacific Lupus Collaboration cohort were analyzed (2013–2021).
Amanda M. Saracino, Yanjie Hao, Dylan Hansen, Yi‐Hsing Chen, Alberta Hoi, Vera Golder, Jiacai Cho, Aisha Lateef, Worawit Louthrenoo, Laniyati Hamijoyo, Shue Fen Luo, Yeong‐Jian Jan Wu, Sandra Navarra, Leonid Zamora, Chak Sing Lau, Shirley Chan, Zhanguo Li, Hai‐hong Yao, Sargunan Sockalingam, B. M. D. B. Basnayake, Yasuhiro Katsumata, Masayoshi Harigai, Zhuoli Zhang, Jun Kikuchi, Yuko Kaneko, Tsutomu Takeuchi, Madelynn Chan, Sang‐Cheol Bae, Fiona Goldblatt, Sean O'Neill, Geraldine Hassett, Kristine Ng, Nicola Tugnet, Mark Sapsford, Yih Jia Poh, Michael Tee, Cherica Tee, Naoaki Ohkubo, Yoshiya Tanaka, Rangi Kandane‐Rathnayake, Eric Morand, Shereen Oon, Mandana Nikpour   +42 more
wiley   +1 more source

Automatic Fine Co-Registration of Datasets from Extremely High Resolution Satellite Multispectral Scanners by Means of Injection of Residues of Multivariate Regression

Remote Sensing
This work presents two pre-processing patches to automatically correct the residual local misalignment of datasets acquired by very/extremely high resolution (VHR/EHR) satellite multispectral (MS) scanners, one for, e.g., GeoEye-1 and Pléiades, featuring
Luciano Alparone, Alberto Arienzo, Andrea Garzelli   +2 more
doaj   +1 more source

Modelling dependence in a ratemaking procedure with multivariate Poisson regression models [PDF]

When actuaries face with the problem of pricing an insurance contract that contains different types of coverage, such as a motor insurance or homeowner's insurance policy, they usually assume that types of claim are independent.
Lluís Bermúdez, Dimitris Karlis
core  

Perceived Impacts and Predictors of Cannabis Products Used by Patients with Rheumatologic Conditions in Alberta, Canada: A Multivariable Analysis of Cross‐Sectional Survey Data

Arthritis Care &Research, EarlyView.
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang, Samuel A.J. Lowe, Frank Sun, Allyson Jones, Tarek Turk, Joanne Olson, Pauline Paul, Shelby Yamamoto, Linda Kolewaski, Elaine Yacyshyn, Cheryl A. Sadowski   +10 more
wiley   +1 more source

Robust online signal extraction from multivariate time series [PDF]

We introduce robust regression-based online filters for multivariate time series and discuss their performance in real time signal extraction settings. We focus on methods that can deal with time series exhibiting patterns such as trends, level changes ...
Gather, Ursula, Lanius, Vivian
core  

Neighborhood Socioeconomic Status and Short‐Term Functional Outcomes in Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective Individuals with systemic lupus erythematosus (SLE) can accumulate functional status (FS) impairment. We evaluated the association between neighborhood socioeconomic disadvantage, as measured by the Area Deprivation Index (ADI), and FS in a national SLE sample.
Baljeet Rai, Jessica Fitzpatrick, Jing Li, Eric Roberts, Patricia Katz, Laura Plantinga, Gabriela Schmajuk, Jinoos Yazdany   +7 more
wiley   +1 more source

APLIKASI MULTIVARIATE MULTIPLE REGRESSION UNTUK MENDUGA FAKTOR-FAKTOR YANG MEMENGARUHI KESEJAHTERAAN MASYARAKAT

E-Jurnal Matematika, 2014
This essay aimed to apply the Multivariate Multiple Regression (MMR) methodfor the welfare issue. The predictor variables in the model are 18 indicators of welfare according to Indonesian Central Bureau of Statistic (BPS) and  the response variables are ...
PUTU EKA SWASTINI, I KOMANG GDE SUKARSA, I PUTU EKA N. KENCANA   +2 more
doaj   +1 more source