◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yan Yang

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • stat.AP1
  • stat.CO1
ORCID 0000-0002-8205-260X
same name
  • Yan Yang — 2 papers
  • Yan Yang — 1 paper
  • Yan Yang — 1 paper
  • Yan Yang — 1 paper
  • Yan Yang — 1 paper
  • Yan Yang — 1 paper

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

most citedEfficient Maximum Likelihood Estimation of Multiple Membership Linear Mixed Models, with an Application to Educational Value-Added Assessments

12 citations · 23 across the 2 of their papers we have counts for

collaborators

2 papers

stat.CO2014★ 11 cited

Computation of Maximum Likelihood Estimates for Multiresponse Generalized Linear Mixed Models with Non-nested, Correlated Random Effects

Andrew T. Karl, Yan Yang, Sharon L. Lohr

Estimation of generalized linear mixed models (GLMMs) with non-nested random effects structures requires approximation of high-dimensional integrals. Many existing methods are tail…

stat.AP2014★ 12 cited

Efficient Maximum Likelihood Estimation of Multiple Membership Linear Mixed Models, with an Application to Educational Value-Added Assessments

Andrew T. Karl, Yan Yang, Sharon L. Lohr

The generalized persistence (GP) model, developed in the context of estimating ``value added'' by individual teachers to their students' current and future test scores, is one of t…

◍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.