bibtype	C - Conference Paper (international conference)
ARLID	0506986
utime	20240103222332.9
mtime	20190729235959.9
WOS	000507455300036
title (primary) (eng)	How to down-weight observations in robust regression: A metalearning study
specification	page_count 6 s. media_type P
serial	ARLID cav_un_epca*0493804 ISBN 978-80-7378-371-6 title Mathematical Methods in Economics 2018. Conference Proceedings page_num 204-209 publisher place Prague name MatfyzPress year 2018 editor name1 Váchová name2 L. editor name1 Kratochvíl name2 V.
keyword	metalearning
keyword	robust statistics
keyword	linear regression
keyword	outliers
author (primary)	ARLID cav_un_auth*0345793 name1 Kalina name2 Jan institution UTIA-B full_dept (cz) Stochastická informatika full_dept (eng) Department of Stochastic Informatics department (cz) SI department (eng) SI full_dept Department of Stochastic Informatics fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author	ARLID cav_un_auth*0319208 name1 Pitra name2 Z. country CZ
source	url http://library.utia.cas.cz/separaty/2019/SI/kalina-0506986.pdf
cas_special	project ARLID cav_un_auth*0345381 project_id GA17-07384S agency GA ČR project ARLID cav_un_auth*0345802 project_id GA17-01251S agency GA ČR abstract (eng) Metalearning is becoming an increasingly important methodology for extracting knowledge from a data base of available training data sets to a new (independent) data set. The concept of metalearning is becoming popular in statistical learning and there is an increasing number of metalearning applications also in the analysis of economic data sets. Still, not much attention has been paid to its limitations and disadvantages. For this purpose, we use various linear regression estimators (including highly robust ones) over a set of 30 data sets with economic background and perform a metalearning study over them as well as over the same data sets after an artificial contamination. action ARLID cav_un_auth*0364490 name MME 2018. International Conference Mathematical Methods in Economics /36./ dates 20180912 mrcbC20-s 20180914 place Jindřichův Hradec country CZ RIV BB FORD0 10000 FORD1 10100 FORD2 10103 reportyear 2020 mrcbC47 UIVT-O 10000 10100 10103 presentation_type PR mrcbC55 UIVT-O BB inst_support RVO:67985556 inst_support RVO:67985807 permalink http://hdl.handle.net/11104/0298101 confidential S mrcbC86 3+4 Proceedings Paper Economics|Mathematics Interdisciplinary Applications|Social Sciences Mathematical Methods mrcbC86 3+4 Proceedings Paper Economics|Mathematics Interdisciplinary Applications|Social Sciences Mathematical Methods mrcbC86 3+4 Proceedings Paper Economics|Mathematics Interdisciplinary Applications|Social Sciences Mathematical Methods arlyear 2018 mrcbU14 SCOPUS mrcbU24 PUBMED mrcbU34 000507455300036 WOS mrcbU63 cav_un_epca*0493804 Mathematical Methods in Economics 2018. Conference Proceedings MatfyzPress 2018 Prague 204 209 978-80-7378-371-6 mrcbU67 340 Váchová L. mrcbU67 340 Kratochvíl V.