Results 31 to 40 of about 2,240,564 (272)

Estimation in high dimensions: a geometric perspective [PDF]

, 2014
This tutorial provides an exposition of a flexible geometric framework for high dimensional estimation problems with constraints. The tutorial develops geometric intuition about high dimensional sets, justifies it with some results of asymptotic convex ...
A. Ai, A. Dvoretzky, A. Giannopoulos, A. Giannopoulos, A. Giannopoulos, A. Giannopoulos, A. Pajor, B. Klartag, B. Recht, D. Amelunxen, D. Donoho, D. Donoho, D. Gross, E. Candès, E. Candès, F. Bach, G. Kutyniok, G. Paouris, H. Rauhut, L. Jacques, M. Davenport, M. Davenport, M. Rudelson, M. Rudelson, M. Talagrand, M. Wainwright, N. Rao, O. Guédon, P. Boufounos, R. Adamczak, R. Keshavan, R. Vershynin, S. Artstein-Avidan, S. Boucheron, S. Chatterjee, S. Chen, S. Foucart, S. Mendelson, V. Chandrasekaran, V. Milman, V. Milman, Y. Plan, Y. Plan, Y. Plan, Y. Seginer   +44 more
core   +2 more sources

Familywise Error Rate Control via Knockoffs [PDF]

, 2015
We present a novel method for controlling the $k$-familywise error rate ($k$-FWER) in the linear regression setting using the knockoffs framework first introduced by Barber and Cand\`es.
Janson, Lucas, Su, Weijie
core   +3 more sources

Multiple Linear Regression versus Automatic Linear Modelling

Arquivo Brasileiro de Medicina Veterinária e Zootecnia
In this study, performances of Multiple Linear Regression and Automatic Linear Modelling are compared for different sample sizes and number of predictors. A comprehensive Monte Carlo simulation study was carried out for this purpose.
S. Genç, M. Mendeş
doaj   +1 more source

A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction [PDF]

, 2019
This study proposed the new hybrid model of Multiple Linear Regression Clustering (MLRC) combined with Support Vector Machine (SVM) to predict tumor size of colorectal cancer (CRC).
Ismail, Shuhaida, Kamardan, Muhamad Ghazali, Rusiman, Mohd Saifullah, Shafi, Muhammad Ammar   +3 more
core   +1 more source

Faktor-Faktor yang Memengaruhi Keuntungan Usaha Tani Tembakau di Kecamatan Manisrenggo Kabupaten Klaten

Agricultural Socio-Economic Empowerment and Agribusiness Journal, 2022
The agricultural sector, especially plantations, has entered the business world that considers profit in its activities. One of them is tobacco farming in Manisrenggo Sub-district, Klaten Regency. This study aims to determine the costs, revenues, income,
Zurinda Adkha Rachmanindita, Sugiharti Mulya Handayani, Wiwit Rahayu   +2 more
doaj   +1 more source

Cluster-Robust Variance Estimation for Dyadic Data [PDF]

, 2015
Dyadic data are common in the social sciences, although inference for such settings involves accounting for a complex clustering structure. Many analyses in the social sciences fail to account for the fact that multiple dyads share a member, and that ...
Aronow, Peter M., Assenova, Valentina A., Samii, Cyrus   +2 more
core   +3 more sources

A learning system-based soft multiple linear regression model

Intelligent Systems with Applications
Machine learning applied to regression models offers powerful mathematical tools for predicting responses based on one or more predictor variables.
Gholamreza Hesamian, Faezeh Torkian, Arne Johannssen, Nataliya Chukhrova   +3 more
doaj   +1 more source

Financial Burden Associated With Hospitalisation Among Families of Childhood Brain Tumours in Australia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim, Natalie Bradford, David Brain, Sameera Senanayake, Sanjeewa Kularatna, Kate Young, Christine Cashion, Tim Hassall, Susanna Cramb   +8 more
wiley   +1 more source

The Fate (Outcome) of Clinically Apparent Single Lesion and Oligofocal Nephroblastomatosis Treated According to SIOP/GPOH Protocols for Wilms Tumor

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter, Jens‐Peter Schenk, Jenny Wegert, Manfred Gessler, Leo Kager, Stefan Wagenpfeil, Marina Müller, Jean‐Michel Wolff, Joerg Fuchs, Steven W. Warmann, Clemens‐Magnus Meier, Jochen Hubertus, Christian Rübe, Christian Vokuhl, Patrick Melchior, Lena Tschirner, Norbert Graf, Rhoikos Furtwängler   +17 more
wiley   +1 more source

An Empirical Comparison of Multiple Imputation Methods for Categorical Data

, 2016
Multiple imputation is a common approach for dealing with missing values in statistical databases. The imputer fills in missing values with draws from predictive models estimated from the observed data, resulting in multiple, completed versions of the ...
Akande, Olanrewaju, Li, Fan, Reiter, Jerome   +2 more
core   +2 more sources