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20162026
most citedBayesian Quantile Regression for Ordinal Models

51 citations · 103 across the 11 of their papers we have counts for

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Showing 2020Show all

4 papers · 1 filter

econ.GN2020

Heterogeneity in Food Expenditure amongst US families: Evidence from Longitudinal Quantile Regression

Arjun Gupta, Soudeh Mirghasemi, Mohammad Arshad Rahman

Empirical studies on food expenditure are largely based on cross-section data and for a few studies based on longitudinal (or panel) data the focus has been on the conditional mean…

econ.GN2020

Do Online Courses Provide an Equal Educational Value Compared to In-Person Classroom Teaching? Evidence from US Survey Data using Quantile Regression

Manini Ojha, Mohammad Arshad Rahman

Education has traditionally been classroom-oriented with a gradual growth of online courses in recent times. However, the outbreak of the COVID-19 pandemic has dramatically acceler…

stat.ME2020

Seemingly Unrelated Regression with Measurement Error: Estimation via Markov chain Monte Carlo and Mean Field Variational Bayes Approximation

Georges Bresson, Anoop Chaturvedi, Mohammad Arshad Rahman +1

Linear regression with measurement error in the covariates is a heavily studied topic, however, the statistics/econometrics literature is almost silent to estimating a multi-equati…

econ.EM2020★ 20 cited

Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada

Georges Bresson, Guy Lacroix, Mohammad Arshad Rahman

This article develops a Bayesian approach for estimating panel quantile regression with binary outcomes in the presence of correlated random effects. We construct a working likelih…