Hierarchical Bayesian methods offer a principled and comprehensive way to relate psychological models to data. Here we use them to model the patterns of information search, stopping and deciding in a simulated binary comparison judgment task. The simulation involves 20 subjects making 100 forced...

In this paper, we analyse Pakistan’s political risks and events that have affected the country’s stock markets since 1947. We collected data in the form of questionnaires from historians, economists, politicians, government officials, bankers and stock market analysts in Pakistan and make...

The paper deals with the matter of producing geographical domains estimates for a variable with a spatial pattern in presence of incomplete information about the population units location. The spatial distribution of the study variable and its eventual relations with other covariates are modeled...

In countries with publicly financed health care systems, waiting time—rather than price—is the rationing mechanism for access to health care services. The normative statement underlying such a rationing device is that patients should wait according to need and irrespective of socioeconomic...

The impacts of disclosed level of corporate social responsibility (CSR), domestic versus imported origin and type of construction on consumers' stated wood product purchasing preferences were examined in the U.S. and China. Hierarchical logit models based on a Bayesian framework were utilized to...

In problems of species counts, the interest is more on the number of different species and their relative abundance rather than on counts of representatives of specific species. This kind of problems originated in Genetics, where species are alleles of a gene, but are also common in other...