AbstractZellner's g prior remains a popular conventional for use in Bayesian variable selection, despite several undesirable consistency issues. In this article we study mixtures of priors as an alternative to default that resolve many the problems with original formulation while maintaining computational tractability has made so popular. We present theoretical properties mixture and provide real simulated examples compare fixed priors, empirical Bayes approaches, other procedures. Please...

Research productivity has been linked to a country's intellectual and economic wealth. Further analysis is needed assess the association between distribution of research across disciplines status countries.By using 55 years data, spanning 1962 2017, Elsevier publications large set countries globally, this manuscript explores relationship evolution relative different through network analysis. It also associations those with categories, as measured by World Bank classification. Additional...

Online shopping has increasingly replaced traditional retail shopping, as a large number of consumers have adopted it on global scale.However, while is well established in developed countries, e-commerce still at an early stage emerging markets, hence there need to unveil which factors contributes its adoption.The main objective this study integrate the theory planned behavior, reasoned action, and technology acceptance model using Bayesian approach determine key predictors online purchase...

We focus on Bayesian model selection for the variable problem in large spaces. The challenge is to search huge space adequately, while accurately approximating posterior probabilities visited models. issue of choice prior distributions models also important.

Mounting empirical evidence suggests that the observed extreme prices within a trading period can provide valuable information about volatility of process period. In this paper we define class stochastic models uses opening and closing along with minimum maximum to infer dynamics underlying asset compare it similar presented previously in literature. The also discusses sequential Monte Carlo algorithms fit illustrates its features using both simulation study real data.

Abstract The purpose of this study is to determine how consumer perceptions brand ethical behavior can affect their commitment brands during turbulent times. A the effects perceived in Colombia initial months COVID-19 outbreak was conducted May 2020 Bogota, Colombia, ascertain customer perception actions first 2 outbreak. Bayesian model developed assess impact brands' on recognition benefits, image, and commitment. selection for project important because pandemic had potential augment at a...

Most countries are concerned about the image they project in international markets. They have adopted and implemented differentiation strategies order to stimulate tourism economic investment. In case of Colombia's reputation, it has been built on unplanned positioning, interests views a few opinion leaders, political instability transformations productive sector. This paper outlines, using Bayesian variable selection approach, perception foreign visitors prospects country image, proposes...

Summary This manuscript proposes a new approach for unveiling existing linkages within the international oil market across multiple driving factors beyond production. A multilayer, multicountry network is extracted through novel Bayesian graphical vector autoregressive model, which allows more comprehensive, dynamic representation of than do traditional or static pairwise Granger-causal inference approaches. Building on previous work, layers include country- and region-specific production...

England has invested considerably in diabetes care through such programs as the Quality and Outcomes Framework (QOF) National Diabetes Audit (NDA). Associations between program indicators clinical endpoints, amputation, remain unclear. We examined associations primary incident lower limb amputation.This population-based retrospective cohort study, spanning 2010-2017, was comprised of adults with type 2 no history amputation. Exposures at baseline (2010-2011) were attainment QOF glycated...

England has invested considerably in diabetes care over recent years through programmes such as the Quality and Outcomes Framework National Diabetes Audit. However, associations between specific programme indicators key clinical endpoints, emergency hospital admissions, remain unclear. We aimed to examine whether attainment of Audit primary is associated with diabetes-related, cardiovascular, all-cause admissions.Historical cohort study.A total 330 English practices, 2010-2017, using UK...

Music is known to elicit strong emotions in listeners, and, if primed appropriately, can give rise specific and observable crossmodal correspondences. This study aimed assess two primary objectives: (1) identifying correspondences emerging from music-induced emotions, (2) examining the predictability of based on association music with visual shapes materials.To achieve this, 176 participants were asked associate materials emotion classes Geneva Music-Induced Affect Checklist scale (GEMIAC)...

Calibrating and validating a traffic simulation model for use on transportation network depend field data that are often limited but essential determining inputs to the assessing its reliability. Quantification systemization of calibration/validation process expose statistical issues inherent in such data. These discussed, methodology address them is described. The formalization leads naturally Bayesian uncertainties predictions arising from multiplicity sources (randomness simulator,...

We build on the derivative pricing calibration literature, and propose a more general model for implied risk neutral densities. Our allows joint of set densities at different maturities dates through Bayesian dynamic Beta Markov Random Field. approach possible time dependence between with same maturity, across point in time. This to density problem encompasses flexibility, parameter parsimony, and, importantly, information pooling proposed methodology can be naturally extended other areas...

CORSIM, a microsimulator for vehicular traffic, is being studied with respect to its ability successfully model and predict behavior of traffic in 36-block section Chicago. Inputs the simulator include information about street configuration, driver behavior, light timing, turning probabilities at each intersection, distributions ingress into system. Data are available concerning proportions actual neighborhood, as well counts neighborhood internal system counts, during day May 2000. Some...

Nowadays, Physical Web together with the increase in use of mobile devices, Global Positioning System (GPS), and Social Networking Sites (SNS) have caused users to share enriched information on such as their tourist experiences. Therefore, an area that has been significantly improved by using contextual provided these technologies is tourism. In this way, main goals work are propose develop algorithm focused recommendation Smart Point Interaction (Smart POI) for a specific user according...

Increased interest about gun ownership and control are oftentimes driven by informational shocks in a common factor, namely violent attacks, the perceived need for higher levels of safety. A causal depiction societal around purchase, both synchronous over time, should be stepping stone designing future strategies regarding safety concerns U.S. population.Examine relationships between unexpected increases population control, purchase.Relationships among online searches information purchase...