A model-robust subsampling approach in presence of outliers

Laura Deldossi; C Tommasi

A model-robust subsampling approach in presence of outliers

Laura Deldossi^*
, C Tommasi

^*Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in libro › Contributo a conferenza

Abstract

inglese

Lingua originale	Inglese
Titolo della pubblicazione ospite	Enbis-23 Programme and Abstracts, 23nd Annual ENBIS Conference
Pagine	69
Numero di pagine	1
Volume	2023
Stato di pubblicazione	Pubblicato - 2023
Evento	ENBIS (European Network for Business and Industrial Statistics) - Valencia Durata: 10 set 2023 → 14 set 2023

Convegno

Convegno	ENBIS (European Network for Business and Industrial Statistics)
Città	Valencia
Periodo	10/9/23 → 14/9/23

Keywords

Active learning, D-optimality, Subsampling

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@inproceedings{3454ca0500d44100ae723f73870fb6ae,

title = "A model-robust subsampling approach in presence of outliers",

abstract = "inglese",

keywords = "Active learning, D-optimality, Subsampling, Active learning, D-optimality, Subsampling",

author = "Laura Deldossi and C Tommasi",

year = "2023",

language = "English",

isbn = "978-84-125444-9-7",

volume = "2023",

pages = "69",

booktitle = "Enbis-23 Programme and Abstracts, 23nd Annual ENBIS Conference",

note = "ENBIS (European Network for Business and Industrial Statistics) ; Conference date: 10-09-2023 Through 14-09-2023",

}

TY - GEN

T1 - A model-robust subsampling approach in presence of outliers

AU - Deldossi, Laura

AU - Tommasi, C

PY - 2023

Y1 - 2023

N2 - inglese

AB - inglese

KW - Active learning, D-optimality, Subsampling

UR - http://hdl.handle.net/10807/251275

M3 - Conference contribution

SN - 978-84-125444-9-7

VL - 2023

SP - 69

BT - Enbis-23 Programme and Abstracts, 23nd Annual ENBIS Conference

T2 - ENBIS (European Network for Business and Industrial Statistics)

Y2 - 10 September 2023 through 14 September 2023

ER -

A model-robust subsampling approach in presence of outliers

Abstract

Convegno

Keywords

Altri file e collegamenti

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