Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Statistical method
|
| gptkbp:appliesTo |
Probabilistic models
|
| gptkbp:basedOn |
Random sampling
|
| gptkbp:canEstablish |
Project timelines
Project costs Option pricing Expected shortfall Value_at_risk_(VaR) |
| gptkbp:developedBy |
gptkb:John_von_Neumann
gptkb:Stanislaw_Ulam |
| https://www.w3.org/2000/01/rdf-schema#label |
Monte Carlo Simulation
|
| gptkbp:isCriticizedFor |
Randomness quality
Interpretation of results Computational intensity Convergence issues |
| gptkbp:isDocumentedIn |
Research papers
Scientific literature Textbooks Case studies |
| gptkbp:isEnhancedBy |
Machine learning techniques
Variance reduction techniques Parallel_computing Quasi-Monte_Carlo_methods |
| gptkbp:isNotableFor |
Deterministic problems
|
| gptkbp:isPopularIn |
Finance
Insurance Pharmaceuticals Telecommunications Energy sector |
| gptkbp:isRelatedTo |
Bayesian inference
Stochastic processes Markov chains Monte_Carlo_methods |
| gptkbp:isUsedFor |
Supply chain management
Game theory Optimization problems Histograms Box plots Scatter plots Queuing theory Inventory_management |
| gptkbp:isUsedIn |
Artificial intelligence
Machine learning Operations research Weather forecasting Environmental modeling |
| gptkbp:provides |
Estimates of uncertainty
|
| gptkbp:requires |
Statistical software
Computational power |
| gptkbp:usedIn |
Computer graphics
Engineering Physics Project management Risk analysis Financial modeling |