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markov chain

46 papers and 4 presentations; 48 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Getting Started with Bayesian Analysis [presentation] Danny R. Modlin source 14
PharmaSUG 2025 Unleashing Oncology Revenue Insights: Advanced Forecasting Frameworks in Action Naquan Ishman,
Dave Kestner		 source 10
PharmaSUG 2024 Dealing with Missing Data: Practical Implementation in SAS and R Isabella Y. Wang,
Lauren George,
Jin Xie		 source 20
PHUSE EU 2021 Transition Probability for Analysis of COVID Test Positivity Ra [presentation] Hrishikesh K S,
Limna Salim		 source
video		 10
SGF 2020 Fitting Statistical Models with PROC MCMC Mark Ghamsary source 26
SGF 2020 Modeling of Between - and Within-Subject Variances using Mixed Effects Location Scale (MELS) Models Qianheng Ma,
Donald Hedeker		 source 14
SESUG 2019 Time Series Forecasting using PROC MCMC SESUG 2019 Murali Sastry,
Tyler Hicks		 source 16
WUSS 2019 Implementing the Hamiltonian Monte Carlo Sampling algorithm in PROC MCMC Elsa Vazquez Arreola source 10
PHUSE US 2019 Statistical Models of Risk Flux Reveal Dynamics of RBM-managed Clinical Trials Michael Farnum source
presentation source		 12
WUSS 2018 Markov Chains as a Predictive Analytic Approach Using SAS/IML Gregory McKinney source 9
SGF 2018 Getting Started with Bayesian Analysis [presentation] Danny R. Modlin source 14
SGF 2018 Predicting Major League Baseball Game Outcomes Justin Long source 6
SGF 2018 SAS Fraud Framework and MCMC in Government Estimation of Improper Payments of Social Benefits Rodrigo Hildebrand,
Aloisio Dourado Neto		 source 10
SGF 2018 The Cox Hazard Model for Claims Data Tanya Kolosova source 16
SCSUG 2017 The Cox Hazard Model for Claims Data Samuel Berestizhevsky,
Tanya Kolosova		 source 17
MWSUG 2017 The Cox Hazard Model for Claims Data: Bayesian non-parametric approach Samuel Berestizhevsky,
Tanya Kolosova		 17
WUSS 2017 The Cox Hazard Model for Claims Data Samuel Berestizhevsky,
Tanya Kolosova		 source 17
SGF 2016 Credit Risk Modeling in a New Era Wei Chen,
Martim Rocha,
Jimmy Skoglund		 source 16
SGF 2016 Evaluation of a Customer's Life Cycle Time-to-Offer Cross-sales in a Bank, Based on the Behavior Score Using Logit Models & DTMC in SAS Oscar Javier Cortés Arrigui,
Miguel Angel Diaz Rodriguez		 source 13
SGF 2016 Simultaneous Forecasts of Multiple Interrelated Time Series with Markov Chain Model Gongwei Chen source 11
WUSS 2014 Markov Chain Model Forecast for Interrelated Time Series Data Using SAS/IML Gongwei Chen source 10
SGF 2014 Modeling Ordinal Responses for a Better Understanding of Drivers of Customer Satisfaction Jorge Alejandro,
Sharon Kim		 source 8
PharmaSUG 2013 Bayesian Analysis of Survival Data with SAS PHREG Procedure Ryan Brady source 8
SGF 2013 Assessing Drug Safety with Bayesian Hierarchical Modeling Using PROC MCMC and JMP Richard C. Zink source 13
SGF 2013 Markov Chains and Zeros in My Data: Bayesian Approaches in SAS That Address Zero Inflation Matthew Russell source 9
SGF 2013 Predicting Health Care Expenditures with the MCMC Procedure Gregory Watson source 12
WUSS 2011 Assessing resource adequacy uncertainty in California electricity summer demand using the MCMC procedure in SAS Enterprise MinerTM Miguel Garcia-Cerrutti source 12
PharmaSUG 2011 Caution: Hazards Crossing! Using the Renyi Test Statistic in Survival Analysis Matthew Davis,
Sharon X. Xie		 source 9
PharmaSUG 2011 Using SAS for Modeling and Simulation in Drug Development - A Review and Assessment of Some Available Tools Melvin S. Munsaka,
Michael Carniello		 source 10
SGF 2010 Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments Joseph C. Gardiner source 23
SGF 2009 Bayesian Modeling Using the MCMC Procedure Fang K. Chen source 22
MWSUG 2008 Imputation of Categorical Missing Data: A comparison of Multivariate Normal and Multinomial Methods Holmes Finch,
Matt Margraf		 12
PharmaSUG 2008 Bayesian Data Analysis Using %WinBUGS Lei Zhang 18
SGF 2008 Generalizing Google's PageRank to Rank National Football League Teams Anjela Govan,
Carl Meyer,
Russell Albright		 source 11
PHUSE EU 2007 Bayesian Modelling with SPLUS and the S+flex Bayes library Andrew Jack,
Dawn Woodard		 source 11
PharmaSUG 2007 SAS Markov Chain Monte Carlo (MCMC) Simulation in Practice Shi-Tao Yeh,
Scott D Patterson		 20
SESUG 2005 The Missing Link: Data Analysis with Missing Information Venita DePuy source 9
PharmaSUG 2004 Incremental Methods of Imputation for Longitudinal Data with Informative Missingness Naum M. Khutoryansky 4
PharmaSUG 2003 Parameter estimation for incomplete bivariate longitudinal data in clinical trials Naum M. Khutoryansky 6
PharmaSUG 2001 Imputation Techniques Using SAS Software For Incomplete Data In Diabetes Clinical Trials Naum M. Khutoryansky,
Won-Chin Huang		 4
WUSS 2000 Algorithms for Actuarial and Actual Analysis William N. Anderson source 6
SEUGI 2000 Skaen but not stirred - Why I like NLMIXED [presentation] Tim Auton source 38
SCSUG 1999 An Introduction to Gibbs Sampling Scott Burk 9
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
SUGI 1999 Behind Marketing Data Flavio Addolorato,
Silvia Pacei		 source 6
SEUGI 1997 Gibbs sampling: simple examples M. Ibañez,
M. Talbot,
Ramón Alonso		 source 5
SUGI 1993 Bayesian Statistics in SAS Software William J. Raynor Jr. source 10
SUGI 1993 Migration and Growth: Generating Small Area Population Projections Using SAS Based Multiregional Modeling Techniques Louis Schwarz source 6
SUGI 1988 Analyzing for Independence of Sequential Events with Markov Chain Models with the SAS System for Personal Computers Paul F. Steblein source 5

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