51 citations · 103 across the 11 of their papers we have counts for
12 papers
Bayesian Quantile Regression for Misclassified Binary Data with an Application to Spousal Violence Reporting
Joon Jin Song, Mohammad Arshad Rahman, Yoo-Mi Chin +1
Survey responses on socially undesirable behaviors, such as self-reported spousal violence, are often subject to underreporting due to social stigma, fear of retaliation, and other…
Flexible Bayesian Quantile Analysis of Residential Rental Rates
Ivan Jeliazkov, Shubham Karnawat, Mohammad Arshad Rahman +1
This article develops a random effects quantile regression model for panel data that allows for increased distributional flexibility, multivariate heterogeneity, and time-invariant…
Bayesian Quantile Regression for Ordinal Models
Mohammad Arshad Rahman
The paper introduces a Bayesian estimation method for quantile regression in univariate ordinal models. Two algorithms are presented that utilize the latent variable inferential fr…
bqror: An R package for Bayesian Quantile Regression in Ordinal Models
Prajual Maheshwari, Mohammad Arshad Rahman
This article describes an R package bqror that estimates Bayesian quantile regression for ordinal models introduced in Rahman (2016). The paper classifies ordinal models into two t…
Modeling and Analysis of Discrete Response Data: Applications to Public Opinion on Marijuana Legalization in the United States
Mohit Batham, Soudeh Mirghasemi, Mohammad Arshad Rahman +1
This chapter presents an overview of a specific form of limited dependent variable models, namely discrete choice models, where the dependent (response or outcome) variable takes v…
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…