bayesian equivalent of confidence interval
consists of 3 order constrained regression
proportionality of order constrained model
dashed parts resembling zero probability areas model
1pr4 43 posterior model odds b1f4 times bayes factor
ensure meaningful comparison of regression
practical implementation of orderconstrained model
way of selecting between competing order constrained model
social contact 95% credibility intervals
formulated between 6 regression coefficient

Pr(M1 | data)<=>1Pr4(M422| 4data) 43 Posterior model odds=B1F4(4M21,4M432
bP>bM bP>bM. bC>bM bC>bV bM>0 bV>0
bCon.Anx<0, bDem.Anx>0, bCon.Dep<0, bDem.Dep>0, bCon.Jds<0, bDem.Jds>0

Social Influence Interpretation of Interpersonal Processes and Team Performance Over Time Using Bayesian Model Selection

interpreting absolute model fit statistics
unbiased predictors fxjs yields unbiased estimates of coefficient

The Operational Impact of Organizational Communities of Practice: A Bayesian Approach to Analyzing Organizational Change

if Pr(S100=2|Data)=1, then we would conclude achangehad indeed occurred before time t=100

Institutionalizing Bayesianism Within the Organizational Sciences: A Practical Guide Featuring Comments From Eminent Scholars

Surrogate Science: The Idol of a Universal Method for Scientific Inference

bayesians correctly criticize p value statistics
currently dominant version of bayesianism

The Prowess and Pitfalls of Bayesian Structural Equation Modeling: Important Considerations for Management Research

sample size adjusted bayesian information criterion
daggers indicate 95% credibility interval
observed data variance covariance matrix

aFree parameters=143 estimated free parameters=112.2 posterior predictive checking=[231.2, 339.1] Bayesian information criterion=21009; sample size adjusted Bayesian information criterion=20555 deviance information criterion=20344
aFree parameters=70 estimated free parameters=70.8 posterior predictive checking=[365.1, 458.9] Bayesian information criterion=20723; sample size adjusted Bayesian information criterion=20501 deviance information criterion=20430
aFree parameters=314 estimated free parameters=188.4 posterior predictive checking=[-58.6, 58.1] Bayesian information criterion=21699; sample size adjusted Bayesian information criterion=20703 deviance information criterion=20134