A study on probabilistic and computational approaches to risk modeling, analysis and forecasting
Explore this paper's citation graph
- Type
- dissertation
- Published
- 2009-01-01
- Cited by
- 0
- References
- 16
- Access
- Open access
- OpenAlex
- https://openalex.org/W47380076
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:107674113
Keywords
Computer science, Probabilistic logic, Econometrics, Risk analysis (engineering), Artificial intelligence
References
- A family of bivariate densities constructed from marginals
- Bivariate Logistic Distributions
- A Class of Bivariate Distributions
- A Bivariate Distribution Family with Specified Marginals
- An Introduction to Copulas
- Introduction to probability models
- Introduction to Mathematical Statistics
- Correlations and Copulas for Decision and Risk Analysis
- A Survey of Statistical Design and Linear Models.
- What are copulas
- Some Concepts of Dependence
- A New Approach to Dependence in Multivariate Distributions
Cited by
No citing papers recorded for this paper.
Related papers
- 2.5. Probabilistic forecasting
- Probabilistic Forecasting: A Level-Set Approach
- Probabilistic modeling and analysis in science and engineering
- Data Mining Methodologies enhance Probabilistic Well Forecasting
- Application of Global Optimization Methods for History Matching and Probabilistic Forecasting - Case Studies