| WUSS |
2026 |
Getting Started with Bayesian Analysis [presentation] |
Danny R. Modlin |
source |
14 |
| PharmaSUG |
2024 |
Dealing with Missing Data: Practical Implementation in SAS and R |
Isabella Y. Wang, Lauren George, Jin Xie |
source |
20 |
| SGF |
2020 |
Fitting Statistical Models with PROC MCMC |
Mark Ghamsary |
source |
26 |
| WUSS |
2019 |
Implementing the Hamiltonian Monte Carlo Sampling algorithm in PROC MCMC |
Elsa Vazquez Arreola |
source |
10 |
| SGF |
2018 |
Getting Started with Bayesian Analysis [presentation] |
Danny R. Modlin |
source |
14 |
| SGF |
2018 |
SAS Fraud Framework and MCMC in Government Estimation of Improper Payments of Social Benefits |
Rodrigo Hildebrand, Aloisio Dourado Neto |
source |
10 |
| SGF |
2013 |
Predicting Health Care Expenditures with the MCMC Procedure |
Gregory Watson |
source |
12 |
| MWSUG |
1999 |
A General Gibbs Sampling Algorithm for Analyzing Linear Models Using the SAS System |
Jayawant N. Mandrekar, Daniel J. Sargent, Paul J. Novotny, Jeff A. Sloan |
|
6 |
| SUGI |
1999 |
A General Gibbs Sampling Algorithm for Analyzing Linear Models Using the SAS System |
Daniel J. Sargent, Jayawant N. Mandrekar, Paul J. Novotny, Jeff A. Sloan |
source |
|