Prior-based model checking

Bayesian Model Checking with Applications to Hierarchical Models 2 Full Prior Predictive Model Checking

In a Bayesian model with proper prior, all functions of the parameters and data are known. After observing the data, the joint prior speciication of data and parameters can be checked by comparing the posterior of any function of the parameters to its assumed prior. This paper gives checks for missing predictors, goodness-of-t, and over-diiuseness of the prior. The approach is illustrated in a ...

Causality-based Model Checking

Trace Tableau = concrete trace unwinding + abstract looping trace tableau • automatic procedure to find proofs in the form of a looping trace tableau Figure 1: Data structures for causality-based model checking. the property of interest. The exploration algorithm proceeds by picking some forest leaf, and employing an applicable trace transformer, producing a number of further nodes. The explora...

Evidence-Based Model Checking

This paper shows that different “meta-model-checking” analyses can be conducted efficiently on a generic data structure we call a support set. Support sets may be viewed as abstract encodings of the “evidence” a model checker uses to justify the yes/no answers it computes. We indicate how model checkers may be modified to compute supports sets without compromising their time or space complexity...

Model-Based Trace-Checking

Trace analysis can be a useful way to discover problems in a program under test. Rather than writing a special purpose trace analysis tool, this paper proposes that traces can usefully be analysed by checking them against a formal model using a standard model-checker or else an animator for executable specifications. These techniques are illustrated using a Travel Agent case study implemented i...

SMT-Based Model Checking