Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Machine Learning - Special issue on learning with probabilistic representations
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Bayesian Graphical Models for Software Testing
IEEE Transactions on Software Engineering
Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers
Journal of Biomedical Informatics - Special issue: Building nursing knowledge through infomatics: from concept representation to data mining
Exploring gene causal interactions using an enhanced constraint-based method
Pattern Recognition
Software maintenance project delays prediction using Bayesian Networks
Expert Systems with Applications: An International Journal
Auto claim fraud detection using Bayesian learning neural networks
Expert Systems with Applications: An International Journal
Model gene network by semi-fixed Bayesian network
Expert Systems with Applications: An International Journal
Improving algorithms for structure learning in Bayesian Networks using a new implicit score
Expert Systems with Applications: An International Journal
Identifying product failure rate based on a conditional Bayesian network classifier
Expert Systems with Applications: An International Journal
Efficient identification of independence networks using mutual information
Computational Statistics
| Hi-index | 12.05 |
Entrepreneurship plays a critical role for the development and well-being of society. Illustration of its dynamic relationship with entrepreneurial attitudes and aspirations can provide a guideline for the cause of such activities. However, a time-lagged causal relationship among these concepts has not yet been established. In this study, we examine a dynamic relationship among early stage entrepreneurial attitudes, activities, and aspirations using Bayesian network (BN) analysis. In addition, we propose an early stage entrepreneurial activity index that can predict the percentage of both nascent entrepreneur and new business owner using the variables related to entrepreneurial attitudes of the previous year. This index, in turn, can be used to predict various aspects of entrepreneurial aspiration of the following year. The proposed index turns out to have very high prediction accuracy and is expected to provide effective policies to boost future entrepreneurial activity and aspiration.