◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

T. Schmid

3 papers hereh-index 12641 citations55 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • stat.AP1
same name
  • T. Schmid — 4 papers, h 11
  • T. Schmid — 3 papers, h 10
  • T. Schmid — 1 paper, h 1
  • T. Schmid — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedFlexible domain prediction using mixed effects random forests

43 citations · 50 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ME2022★ 43 cited

Flexible domain prediction using mixed effects random forests

Patrick Krennmair, Timo Schmid

This paper promotes the use of random forests as versatile tools for estimating spatially disaggregated indicators in the presence of small area-specific sample sizes. Small area e…

stat.AP2021★ 6 cited

Intercensal updating using structure-preserving methods and satellite imagery

Till Koebe, Alejandra Arias-Salazar, Natalia Rojas-Perilla +1

Censuses are fundamental building blocks of most modern-day societies, yet collected every ten years at best. We propose an extension of the widely popular census updating techniqu…

stat.ME2020★ 1 cited

Scale estimation and data-driven tuning constant selection for M-quantile regression

James Dawber, Nicola Salvati, Timo Schmid +1

M-quantile regression is a general form of quantile-like regression which usually utilises the Huber influence function and corresponding tuning constant. Estimation requires a nui…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.