| Intro |
Introduction to Bayesian analysis |
| Bayesian commands |
Introduction to commands for Bayesian analysis |
| Bayesian estimation |
Bayesian estimation commands |
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| bayes |
Bayesian regression models using the bayes prefix StataNow |
| bayesmh |
Bayesian models using Metropolis–Hastings algorithm StataNow |
| bayesmh evaluators |
User-defined evaluators with bayesmh |
| bayesselect |
Bayesian variable selection for linear regression StataNow |
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| Bayesian postestimation |
Postestimation tools after Bayesian estimation |
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| bayesgraph |
Graphical summaries and convergence diagnostics |
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| bayesstats |
Bayesian statistics after Bayesian estimation |
| bayesstats ess |
Effective sample sizes and related statistics |
| bayesstats grubin |
Gelman–Rubin convergence diagnostics |
| bayesstats ic |
Bayesian information criteria and Bayes factors |
bayesstats ppvalues |
Bayesian predictive p-values and other predictive summaries |
| bayesstats summary |
Bayesian summary statistics |
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| bayestest |
Bayesian hypothesis testing |
| bayestest interval |
Interval hypothesis testing |
| bayestest model |
Hypothesis testing using model posterior probabilities |
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| bayespredict |
Bayesian predictions |
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| set clevel |
Set default credible level |
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| bayes: betareg |
Bayesian beta regression |
| bayes: binreg |
Bayesian generalized linear models: Extensions to the binomial family |
| bayes: biprobit |
Bayesian bivariate probit regression |
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| bayes: clogit |
Bayesian conditional logistic regression |
| bayes: cloglog |
Bayesian complementary log–log regression |
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| bayes: dsge |
Bayesian linear dynamic stochastic general equilibrium models |
| bayes: dsgenl |
Bayesian nonlinear dynamic stochastic general equilibrium models |
| bayes: dsge postestimation |
Postestimation tools for bayes: dsge and bayes: dsgenl |
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| bayes: fracreg |
Bayesian fractional response regression |
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| bayes: glm |
Bayesian generalized linear models |
| bayes: gnbreg |
Bayesian generalized negative binomial regression |
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| bayes: heckman |
Bayesian Heckman selection model |
| bayes: heckoprobit |
Bayesian ordered probit model with sample selection |
| bayes: heckprobit |
Bayesian probit model with sample selection |
| bayes: hetoprobit |
Bayesian heteroskedastic ordered probit regression |
| bayes: hetprobit |
Bayesian heteroskedastic probit regression |
| bayes: hetregress |
Bayesian heteroskedastic linear regression |
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| bayes: intreg |
Bayesian interval regression |
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| bayes: logistic |
Bayesian logistic regression, reporting odds ratios |
| bayes: logit |
Bayesian logistic regression, reporting coefficients |
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| bayes: mecloglog |
Bayesian multilevel complementary log–log regression |
| bayes: meglm |
Bayesian multilevel generalized linear model |
| bayes: meintreg |
Bayesian multilevel interval regression |
| bayes: melogit |
Bayesian multilevel logistic regression |
| bayes: menbreg |
Bayesian multilevel negative binomial regression |
| bayes: meologit |
Bayesian multilevel ordered logistic regression |
| bayes: meoprobit |
Bayesian multilevel ordered probit regression |
| bayes: mepoisson |
Bayesian multilevel Poisson regression |
| bayes: meprobit |
Bayesian multilevel probit regression |
| bayes: mestreg |
Bayesian multilevel parametric survival models |
| bayes: metobit |
Bayesian multilevel tobit regression |
| bayes: mixed |
Bayesian multilevel linear regression |
| bayes: mlogit |
Bayesian multinomial logistic regression |
| bayes: mprobit |
Bayesian multinomial probit regression |
| bayes: mvreg |
Bayesian multivariate regression |
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| bayes: nbreg |
Bayesian negative binomial regression |
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| bayes: ologit |
Bayesian ordered logistic regression |
| bayes: oprobit |
Bayesian ordered probit regression |
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| bayes: poisson |
Bayesian Poisson regression |
| bayes: probit |
Bayesian probit regression |
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| bayes: qreg |
Bayesian quantile regression StataNow |
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| bayes: regress |
Bayesian linear regression |
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| bayes: streg |
Bayesian parametric survival models |
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| bayes: tnbreg |
Bayesian truncated negative binomial regression |
| bayes: tobit |
Bayesian tobit regression |
| bayes: tpoisson |
Bayesian truncated Poisson regression |
| bayes: truncreg |
Bayesian truncated regression |
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| bayes: var |
Bayesian vector autoregressive models |
| bayes: var postestimation |
Postestimation tools for bayes: var |
| bayesvarstable |
Check the stability condition of Bayesian VAR estimates |
| bayesfcast |
Bayesian dynamic forecasts |
| bayesfcast compute |
Compute Bayesian dynamic forecasts |
| bayesfcast graph |
Graphs of Bayesian dynamic forecasts |
| bayesirf |
Bayesian IRFs, dynamic-multiplier functions, and FEVDs |
| bayesirf create |
Obtain Bayesian IRFs, dynamic-multiplier functions, and FEVDs |
| bayesirf graph |
Graphs of Bayesian IRFs, dynamic-multiplier functions, and FEVDs |
| bayesirf cgraph |
Combined graphs of Bayesian IRF results |
| bayesirf ograph |
Overlaid graphs of Bayesian IRF results |
| bayesirf table |
Tables of Bayesian IRFs, dynamic-multiplier functions, and FEVDs |
| bayesirf ctable |
Combined tables of Bayesian IRF results |
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| bayes: xtlogit |
Bayesian random-effects logit model |
| bayes: xtmlogit |
Bayesian random-effects multinomial logit model |
| bayes: xtnbreg |
Bayesian random-effects negative binomial model |
| bayes: xtologit |
Bayesian random-effects ordered logistic model |
| bayes: xtoprobit |
Bayesian random-effects ordered probit model |
| bayes: xtpoisson |
Bayesian random-effects Poisson model |
| bayes: xtprobit |
Bayesian random-effects probit model |
| bayes: xtreg |
Bayesian random-effects linear model |
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| bayes: zinb |
Bayesian zero-inflated negative binomial regression |
| bayes: ziologit |
Bayesian zero-inflated ordered logit regression |
| bayes: zioprobit |
Bayesian zero-inflated ordered probit regression |
| bayes: zip |
Bayesian zero-inflated Poisson regression |
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| Glossary |
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| Combined author index |
| Combined subject index |
