Mohammad Arshad Rahman
Names
| first: | Mohammad Arshad |
| last: | Rahman |
Identifer
| RePEc Short-ID: | pra1051 |
Contact
| email: | arshadrahman25 at domain gmail.com |
| homepage: | https://www.arshadrahman.com |
| postal address: | Room 409, ESB-2 Indian Institute of Technology Kanpur Kanpur 208016, Uttar Pradesh, India |
Affiliations
-
Indian Institute of Technology Kanpur
/ Department of Economic Sciences (weight: 50%)
- EDIRC entry
- location:
-
Zayed University
/ College of Business (weight: 50%)
- EDIRC entry
- location:
Research profile
author of:
- Estimation and Applications of Quantile Regression for Binary Longitudinal Data (RePEc:arx:papers:1909.05560)
by Mohammad Arshad Rahman & Angela Vossmeyer - Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada (RePEc:arx:papers:2001.09295)
by Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman - Seemingly Unrelated Regression with Measurement Error: Estimation via Markov chain Monte Carlo and Mean Field Variational Bayes Approximation (RePEc:arx:papers:2006.07074)
by Georges Bresson & Anoop Chaturvedi & Mohammad Arshad Rahman & Shalabh - Do Online Courses Provide an Equal Educational Value Compared to In-Person Classroom Teaching? Evidence from US Survey Data using Quantile Regression (RePEc:arx:papers:2007.06994)
by Manini Ojha & Mohammad Arshad Rahman - Heterogeneity in Food Expenditure amongst US families: Evidence from Longitudinal Quantile Regression (RePEc:arx:papers:2010.02614)
by Arjun Gupta & Soudeh Mirghasemi & Mohammad Arshad Rahman - Modeling and Analysis of Discrete Response Data: Applications to Public Opinion on Marijuana Legalization in the United States (RePEc:arx:papers:2109.10122)
by Mohit Batham & Soudeh Mirghasemi & Mohammad Arshad Rahman & Manini Ojha - bqror: An R package for Bayesian Quantile Regression in Ordinal Models (RePEc:arx:papers:2109.13606)
by Prajual Maheshwari & Mohammad Arshad Rahman - Flexible Bayesian Quantile Analysis of Residential Rental Rates (RePEc:arx:papers:2305.13687)
by Ivan Jeliazkov & Shubham Karnawat & Mohammad Arshad Rahman & Angela Vossmeyer - Seemingly unrelated regression with measurement error: estimation via Markov Chain Monte Carlo and mean field variational Bayes approximation (RePEc:bpj:ijbist:v:17:y:2021:i:1:p:75-97:n:1)
by Bresson Georges & Chaturvedi Anoop & Rahman Mohammad Arshad & Shalabh - Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada (RePEc:cir:cirwor:2020s-08)
by Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman - To drill or not to drill? An econometric analysis of US public opinion (RePEc:eee:enepol:v:91:y:2016:i:c:p:341-351)
by Mukherjee, Deep & Rahman, Mohammad Arshad - Bayesian Analysis of Multivariate Sample Selection Models Using Gaussian Copulas (RePEc:eme:aecozz:s0731-9053(2011)000027a013)
by Phillip Li & Mohammad Arshad Rahman - Estimation and Applications of Quantile Regression for Binary Longitudinal Data (RePEc:eme:aecozz:s0731-90532019000040b009)
by Mohammad Arshad Rahman & Angela Vossmeyer - Flexible Bayesian Quantile Regression in Ordinal Models (RePEc:eme:aecozz:s0731-90532019000040b011)
by Mohammad Arshad Rahman & Shubham Karnawat - Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada (RePEc:hal:journl:hal-04129345)
by Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman - Book Reviews (RePEc:sae:intstu:v:21:y:1982:i:2:p:179-184)
by M. A. Rahman - Binary and Ordinal Probit Regression: Applications to Public Opinion on Marijuana Legalization in the United States (RePEc:spr:conchp:978-981-99-4902-1_2)
by Mohit Batham & Soudeh Mirghasemi & Manini Ojha & Mohammad Arshad Rahman - Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada (RePEc:spr:empeco:v:60:y:2021:i:1:d:10.1007_s00181-020-01893-5)
by Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman - Heterogeneity in food expenditure among US families: evidence from longitudinal quantile regression (RePEc:spr:inecre:v:56:y:2021:i:1:d:10.1007_s41775-020-00101-6)
by Arjun Gupta & Soudeh Mirghasemi & Mohammad Arshad Rahman