Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200311541> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4200311541 endingPage "35" @default.
- W4200311541 startingPage "15" @default.
- W4200311541 abstract "Abstract Models which are constructed to represent the uncertainty arising in engineered systems can often be quite complex to ensure they provide a reasonably faithful reflection of the real-world system. As a result, even computation of simple expectations, event probabilities, variances, or integration over utilities for a decision problem can be analytically intractable. Indeed, such models are often sufficiently high dimensional that even traditional numerical methods perform poorly. However, access to random samples drawn from the probability model under study typically simplifies such problems substantially. The methodologies to generate and use such samples fall under the stable of techniques usually referred to as ‘Monte Carlo methods’. This chapter provides a motivation, simple primer introduction to the basics, and sign-posts to further reading and literature on Monte Carlo methods, in a manner that should be accessible to those with an engineering mathematics background. There is deliberately informal mathematical presentation which avoids measure-theoretic formalism. The accompanying lecture can be viewed at https://www.louisaslett.com/Courses/UTOPIAE/ ." @default.
- W4200311541 created "2021-12-31" @default.
- W4200311541 creator A5008553387 @default.
- W4200311541 date "2021-12-10" @default.
- W4200311541 modified "2023-09-26" @default.
- W4200311541 title "Sampling from Complex Probability Distributions: A Monte Carlo Primer for Engineers" @default.
- W4200311541 cites W1965612527 @default.
- W4200311541 cites W1979804923 @default.
- W4200311541 cites W1982464473 @default.
- W4200311541 cites W2003031824 @default.
- W4200311541 cites W2005739986 @default.
- W4200311541 cites W2014945091 @default.
- W4200311541 cites W2045973738 @default.
- W4200311541 cites W2053166411 @default.
- W4200311541 cites W2095595785 @default.
- W4200311541 cites W2135194391 @default.
- W4200311541 cites W2139812092 @default.
- W4200311541 cites W2152828142 @default.
- W4200311541 cites W220319917 @default.
- W4200311541 cites W2266997395 @default.
- W4200311541 cites W2416432995 @default.
- W4200311541 cites W2577537660 @default.
- W4200311541 cites W2907420229 @default.
- W4200311541 cites W2962837791 @default.
- W4200311541 cites W2963974395 @default.
- W4200311541 cites W3101800103 @default.
- W4200311541 cites W3104067374 @default.
- W4200311541 cites W4212908912 @default.
- W4200311541 cites W4292691288 @default.
- W4200311541 cites W621546036 @default.
- W4200311541 doi "https://doi.org/10.1007/978-3-030-83640-5_2" @default.
- W4200311541 hasPublicationYear "2021" @default.
- W4200311541 type Work @default.
- W4200311541 citedByCount "0" @default.
- W4200311541 crossrefType "book-chapter" @default.
- W4200311541 hasAuthorship W4200311541A5008553387 @default.
- W4200311541 hasBestOaLocation W42003115411 @default.
- W4200311541 hasConcept C105795698 @default.
- W4200311541 hasConcept C111350023 @default.
- W4200311541 hasConcept C111472728 @default.
- W4200311541 hasConcept C11413529 @default.
- W4200311541 hasConcept C13153151 @default.
- W4200311541 hasConcept C132725507 @default.
- W4200311541 hasConcept C138885662 @default.
- W4200311541 hasConcept C142362112 @default.
- W4200311541 hasConcept C153349607 @default.
- W4200311541 hasConcept C19499675 @default.
- W4200311541 hasConcept C2780586882 @default.
- W4200311541 hasConcept C33923547 @default.
- W4200311541 hasConcept C41008148 @default.
- W4200311541 hasConcept C45374587 @default.
- W4200311541 hasConcept C52740198 @default.
- W4200311541 hasConcept C558565934 @default.
- W4200311541 hasConcept C73301696 @default.
- W4200311541 hasConcept C80444323 @default.
- W4200311541 hasConceptScore W4200311541C105795698 @default.
- W4200311541 hasConceptScore W4200311541C111350023 @default.
- W4200311541 hasConceptScore W4200311541C111472728 @default.
- W4200311541 hasConceptScore W4200311541C11413529 @default.
- W4200311541 hasConceptScore W4200311541C13153151 @default.
- W4200311541 hasConceptScore W4200311541C132725507 @default.
- W4200311541 hasConceptScore W4200311541C138885662 @default.
- W4200311541 hasConceptScore W4200311541C142362112 @default.
- W4200311541 hasConceptScore W4200311541C153349607 @default.
- W4200311541 hasConceptScore W4200311541C19499675 @default.
- W4200311541 hasConceptScore W4200311541C2780586882 @default.
- W4200311541 hasConceptScore W4200311541C33923547 @default.
- W4200311541 hasConceptScore W4200311541C41008148 @default.
- W4200311541 hasConceptScore W4200311541C45374587 @default.
- W4200311541 hasConceptScore W4200311541C52740198 @default.
- W4200311541 hasConceptScore W4200311541C558565934 @default.
- W4200311541 hasConceptScore W4200311541C73301696 @default.
- W4200311541 hasConceptScore W4200311541C80444323 @default.
- W4200311541 hasLocation W42003115411 @default.
- W4200311541 hasOpenAccess W4200311541 @default.
- W4200311541 hasPrimaryLocation W42003115411 @default.
- W4200311541 hasRelatedWork W2077096961 @default.
- W4200311541 hasRelatedWork W2081255987 @default.
- W4200311541 hasRelatedWork W2105032794 @default.
- W4200311541 hasRelatedWork W2129944235 @default.
- W4200311541 hasRelatedWork W2951347249 @default.
- W4200311541 hasRelatedWork W2952565494 @default.
- W4200311541 hasRelatedWork W2984753240 @default.
- W4200311541 hasRelatedWork W4299657360 @default.
- W4200311541 hasRelatedWork W4302033780 @default.
- W4200311541 hasRelatedWork W590971457 @default.
- W4200311541 isParatext "false" @default.
- W4200311541 isRetracted "false" @default.
- W4200311541 workType "book-chapter" @default.