Matches in SemOpenAlex for { <https://semopenalex.org/work/W1918409140> ?p ?o ?g. }
- W1918409140 endingPage "1301" @default.
- W1918409140 startingPage "1292" @default.
- W1918409140 abstract "We propose nested sequential Monte Carlo (NSMC), a methodology to sample from sequences of probability distributions, even where the random variables are high-dimensional. NSMC generalises the SMC framework by requiring only approximate, properly weighted, samples from the SMC proposal distribution, while still resulting in a correct SMC algorithm. Furthermore, NSMC can in itself be used to produce such properly weighted samples. Consequently, one NSMC sampler can be used to construct an efficient high-dimensional proposal distribution for another NSMC sampler, and this nesting of the algorithm can be done to an arbitrary degree. This allows us to consider complex and high-dimensional models using SMC. We show results that motivate the efficacy of our approach on several filtering problems with dimensions in the order of 100 to 1 000." @default.
- W1918409140 created "2016-06-24" @default.
- W1918409140 creator A5020493508 @default.
- W1918409140 creator A5045048407 @default.
- W1918409140 creator A5083090794 @default.
- W1918409140 date "2015-07-06" @default.
- W1918409140 modified "2023-09-26" @default.
- W1918409140 title "Nested Sequential Monte Carlo Methods" @default.
- W1918409140 cites W146619314 @default.
- W1918409140 cites W1501586228 @default.
- W1918409140 cites W1520053542 @default.
- W1918409140 cites W1544274373 @default.
- W1918409140 cites W1670531616 @default.
- W1918409140 cites W1741551153 @default.
- W1918409140 cites W1762449885 @default.
- W1918409140 cites W1860382590 @default.
- W1918409140 cites W1876120984 @default.
- W1918409140 cites W1883186006 @default.
- W1918409140 cites W1975975525 @default.
- W1918409140 cites W1982370455 @default.
- W1918409140 cites W1983212629 @default.
- W1918409140 cites W1988827501 @default.
- W1918409140 cites W1989272559 @default.
- W1918409140 cites W2021830477 @default.
- W1918409140 cites W2034103227 @default.
- W1918409140 cites W2040975855 @default.
- W1918409140 cites W2055711980 @default.
- W1918409140 cites W2057487175 @default.
- W1918409140 cites W2069739265 @default.
- W1918409140 cites W2081741802 @default.
- W1918409140 cites W2082542916 @default.
- W1918409140 cites W2098613108 @default.
- W1918409140 cites W2105934661 @default.
- W1918409140 cites W2106014472 @default.
- W1918409140 cites W2109024167 @default.
- W1918409140 cites W2111787305 @default.
- W1918409140 cites W2120340025 @default.
- W1918409140 cites W2131598171 @default.
- W1918409140 cites W2137532396 @default.
- W1918409140 cites W2140051159 @default.
- W1918409140 cites W2141098380 @default.
- W1918409140 cites W2149532992 @default.
- W1918409140 cites W2152159624 @default.
- W1918409140 cites W2152869421 @default.
- W1918409140 cites W2157197146 @default.
- W1918409140 cites W2163587350 @default.
- W1918409140 cites W2300327263 @default.
- W1918409140 cites W2402011568 @default.
- W1918409140 cites W277831955 @default.
- W1918409140 cites W2951257262 @default.
- W1918409140 cites W3125496221 @default.
- W1918409140 cites W95577512 @default.
- W1918409140 hasPublicationYear "2015" @default.
- W1918409140 type Work @default.
- W1918409140 sameAs 1918409140 @default.
- W1918409140 citedByCount "15" @default.
- W1918409140 countsByYear W19184091402015 @default.
- W1918409140 countsByYear W19184091402016 @default.
- W1918409140 countsByYear W19184091402017 @default.
- W1918409140 countsByYear W19184091402018 @default.
- W1918409140 countsByYear W19184091402019 @default.
- W1918409140 countsByYear W19184091402020 @default.
- W1918409140 countsByYear W19184091402021 @default.
- W1918409140 crossrefType "proceedings-article" @default.
- W1918409140 hasAuthorship W1918409140A5020493508 @default.
- W1918409140 hasAuthorship W1918409140A5045048407 @default.
- W1918409140 hasAuthorship W1918409140A5083090794 @default.
- W1918409140 hasConcept C105795698 @default.
- W1918409140 hasConcept C11413529 @default.
- W1918409140 hasConcept C122123141 @default.
- W1918409140 hasConcept C126255220 @default.
- W1918409140 hasConcept C185592680 @default.
- W1918409140 hasConcept C19499675 @default.
- W1918409140 hasConcept C198531522 @default.
- W1918409140 hasConcept C199360897 @default.
- W1918409140 hasConcept C2780801425 @default.
- W1918409140 hasConcept C33923547 @default.
- W1918409140 hasConcept C41008148 @default.
- W1918409140 hasConcept C43617362 @default.
- W1918409140 hasConceptScore W1918409140C105795698 @default.
- W1918409140 hasConceptScore W1918409140C11413529 @default.
- W1918409140 hasConceptScore W1918409140C122123141 @default.
- W1918409140 hasConceptScore W1918409140C126255220 @default.
- W1918409140 hasConceptScore W1918409140C185592680 @default.
- W1918409140 hasConceptScore W1918409140C19499675 @default.
- W1918409140 hasConceptScore W1918409140C198531522 @default.
- W1918409140 hasConceptScore W1918409140C199360897 @default.
- W1918409140 hasConceptScore W1918409140C2780801425 @default.
- W1918409140 hasConceptScore W1918409140C33923547 @default.
- W1918409140 hasConceptScore W1918409140C41008148 @default.
- W1918409140 hasConceptScore W1918409140C43617362 @default.
- W1918409140 hasLocation W19184091401 @default.
- W1918409140 hasOpenAccess W1918409140 @default.
- W1918409140 hasPrimaryLocation W19184091401 @default.
- W1918409140 hasRelatedWork W1483307070 @default.
- W1918409140 hasRelatedWork W1501586228 @default.
- W1918409140 hasRelatedWork W1824867259 @default.
- W1918409140 hasRelatedWork W1979969656 @default.