Recai M. Yucel
Statistics and Probability · 2002–2008
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 9 citations into it; #2,865 of 12,932 by trust here, #4,650 by citations
- Artificial Intelligence — 8 citations into it; #32,660 of 35,345 by trust here, #30,347 by citations
Whom Recai M. Yucel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Andrew Gelman
- Yulei He
- Trivellore E. Raghunathan
- Joseph L. Schafer
- Subir Ghosh
- Xiao-Li Meng
- Geert Verbeke
- Hal S. Stern
- I. Van Mechelen
Who trusts Recai M. Yucel overall
- Joerg Drechsler
- S. van Buuren
- Paul T. von Hippel
- Yongyun Shin
- S. Grund
- Hakan Demirtas
- Susan M. Shortreed
- Stephen Raudenbush
- Karin G. M. Groothuis-Oudshoorn
Papers from Recai M. Yucel's perspective
Ordered by how strongly the researchers Recai M. Yucel trusts endorse each paper. Same corpus, a different order for every researcher.
- INFERENCE AND MISSING DATA
- Analysis of Incomplete Multivariate Data (Technometrics)
- Statistical Analysis With Missing Data
- Missing data
- POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES
- Multiple Imputation for Model Checking: Completed‐Data Plots with Missing and Latent Data
- A multivariate technique for multiply imputing missing values using a sequence of regression models
- Tukey's gh Distribution for Multiple Imputation
- Linear Mixed Models for Longitudinal Data
- Linear Mixed Models for Longitudinal Data (Technometrics)
Their papers
- Computational Strategies for Multivariate Linear Mixed-Effects Models With Missing Values (2002) — 360 citations
- Plausibility of multivariate normality assumption when multiply imputing non-Gaussian continuous outcomes: a simulation assessment (2008) — 157 citations
- Using Calibration to Improve Rounding in Imputation (2008) — 53 citations