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From Posterior to Post Processing - Getting More From Your Bayesian Model

Matt Simpson presents postprocessing in the Bayesian context—in particular, doing inference on more than just the model parameters. This information will help you get more from your Bayesian model.

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6:45
From Posterior to Post Processing - Getting More From Your Bayesian Model
From Posterior to Post Processing - Getting More From Your Bayesian Model
10:05
SAS Econometrics for Your Econometric Modeling and Time Series Analysis
SAS Econometrics for Your Econometric Modeling and Time Series Analysis
6:51
Monitor Assignment for Students with Disabilities Using SAS Optimization: Boston Public Schools
Monitor Assignment for Students with Disabilities Using SAS Optimization: Boston Public Schools
14:26
Modeling Data with Endogeneity Using SAS Econometrics
Modeling Data with Endogeneity Using SAS Econometrics
4:07
Performance Reporting
Performance Reporting
4:33
Scoring, Publishing and Comparing Models
Scoring, Publishing and Comparing Models
4:43
Importing R and PMML Format Models
Importing R and PMML Format Models
5:57
Create a SAS® Open Model Manager Project and Import a Python Model
Create a SAS® Open Model Manager Project and Import a Python Model
21:20
SAS Demo | SAS Open Model Manager | First steps deploying open source models
SAS Demo | SAS Open Model Manager | First steps deploying open source models
19:56
Introduction to SAS Open Model Manager Architecture and Deployment
Introduction to SAS Open Model Manager Architecture and Deployment
7:06
Handling Excess Zeros with FMM Procedure (PROC FMM)
Handling Excess Zeros with FMM Procedure (PROC FMM)
10:33
Introducing the CAUSALGRAPH Procedure for Graphical Causal Model Analysis
Introducing the CAUSALGRAPH Procedure for Graphical Causal Model Analysis
7:07
Partial Proportional Odds Modeling with the LOGISTIC Procedure
Partial Proportional Odds Modeling with the LOGISTIC Procedure
6:24
Introducing the runOptmodel Action in SAS Optimization on SAS Viya
Introducing the runOptmodel Action in SAS Optimization on SAS Viya
14:54
Power Analysis for Generalized Linear Models Using the New CUSTOM Statement in PROC POWER
Power Analysis for Generalized Linear Models Using the New CUSTOM Statement in PROC POWER

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