Bayesian quantile regression for count data with application to environmental epidemiology

By Duncan Lee, Tereza Neocleous. 2010

86 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Health, Toxicology and Mutagenesis, Pollution

View Paper: https://www.semanticscholar.org/paper/1c7d57004e2aa24c285351eb3c059943cbf1a965

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Yunwen Yang
2. Matteo Bottai
3. Huixia Judy Wang
4. Marco Geraci
5. Xuming He

In Health, Toxicology and Mutagenesis

1. Yunwen Yang
2. Matteo Bottai
3. Huixia Judy Wang
4. Marco Geraci
5. Xuming He

In Pollution

1. Yunwen Yang
2. Matteo Bottai
3. Huixia Judy Wang
4. Marco Geraci
5. Xuming He

Citations in the corpus

• Linear quantile mixed models (2013, methodology): “…30 Guilford Street, London WC1N 1EH, UK e-mail: m.geraci@ucl.ac.uk M. Bottai Unit of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, 17177 Stockholm, Sweden Keywords Best linear predictor · Clarke’s derivative · Hierarchical models · Gaussian quadrature”
• Posterior Inference in Bayesian Quantile Regression with Asymmetric Laplace Likelihood (2016, methodology): “…& Bottai, 2007; Yuan & Yin, 2009; Geraci & Bottai, 2013; Yue & Rue, 2011; Luo et al., 2014; Wang, 2012), variable selection for quantile regression (Li et al., 2010; Alhamzawi et al., 2012; Alhamzawi & Yu, 2013; 2012), spatial quantile regression (Lum & Gelfand, 2012), quantile regression for…”