Developmental research, like many fields, is plagued by low sample sizes and inconclusive findings. The problem amplified the difficulties associated with recruiting infant participants for research as well increased variability in responses. With sequential testing designs providing a viable alternative to paradigms facing such issues, current study implemented Sequential Bayes Factor (SBF) de...

in a finite stationary markov chain, transition probabilities may depend on some explanatoryvariables. a similar problem has been considered here. the corresponding posteriors are derived andinferences are done using these posteriors. finally, the procedure is illustrated with a real example.

Consumption of bivalve shellfish harvested from water contaminated with sewage pollution presents a risk of human infections and targeting control measures require a good understanding of environmental factors influencing the transport and the fate of faecal contaminants within the hydrological catchments. Although there has been extensive development of regression models, the point of this pap...

Good large sample performance is typically a minimum requirement of any model selection criterion. This article focuses on the consistency property of the Bayes factor, a commonly used model comparison tool, which has experienced a recent surge of attention in the literature. We thoroughly review existing results. As there exists such a wide variety of settings to be considered, e.g. parametric...

SUMMARY Closed form expressions and Monte Carlo estimates for the Bayes factor are obtained for selection among weighted and unweighted models. Weighted distributions occur naturally in contexts where the probability that a particular observation enters the sample gets multiplied by some non-negative weight function. Suppose a realization y of Y under the generalized density f(yj) enters the in...