Matches in SemOpenAlex for { <https://semopenalex.org/work/W2183126689> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2183126689 abstract "Bayesian methodology is a widely-applicable tool for probabilistic modelling and decision making. Its strength is based on a consistent way of merging information including a subjective knowledge and ideas about functioning of the uncertain modelled system. As a re- sult, it can describe, reduce and quantify uncertainty of unknown quantities. A linear regression model with normal noise is well elaborated from this point of view. Both theoretical and stable algorithmic solutions are available (1). To take the full advantage of the technology, ways of building prior information and proper choice of initial information matrix representing suitable fictitious data will be discussed. The topic will be illustrated by two exam- ples. In the first example, model of accummulation function will be shown. Its parameters are hard bounded by physical requirements. Because of few noisy data, any available information is useful. Construction and influence of the prior will be demonstrated including a wrong choice. In the second example, Bayesian testing of hypotheses on distribution of a random quantity will be presented. The random quantity considered is integral of the function from the first example with random-sampled parameters. The examples are taken from a real application of activity prediction and dose estimation in nuclear medicine. The research is partially supported by the grants M ˇ" @default.
- W2183126689 created "2016-06-24" @default.
- W2183126689 creator A5050058299 @default.
- W2183126689 creator A5068376904 @default.
- W2183126689 date "2005-01-01" @default.
- W2183126689 modified "2023-09-27" @default.
- W2183126689 title "Prior information in Bayesian identification of a linear regression model: inference and examples" @default.
- W2183126689 cites W1257151683 @default.
- W2183126689 hasPublicationYear "2005" @default.
- W2183126689 type Work @default.
- W2183126689 sameAs 2183126689 @default.
- W2183126689 citedByCount "0" @default.
- W2183126689 crossrefType "journal-article" @default.
- W2183126689 hasAuthorship W2183126689A5050058299 @default.
- W2183126689 hasAuthorship W2183126689A5068376904 @default.
- W2183126689 hasConcept C107673813 @default.
- W2183126689 hasConcept C116834253 @default.
- W2183126689 hasConcept C119857082 @default.
- W2183126689 hasConcept C124101348 @default.
- W2183126689 hasConcept C14036430 @default.
- W2183126689 hasConcept C154945302 @default.
- W2183126689 hasConcept C160234255 @default.
- W2183126689 hasConcept C2776214188 @default.
- W2183126689 hasConcept C37903108 @default.
- W2183126689 hasConcept C41008148 @default.
- W2183126689 hasConcept C48921125 @default.
- W2183126689 hasConcept C49937458 @default.
- W2183126689 hasConcept C59822182 @default.
- W2183126689 hasConcept C78458016 @default.
- W2183126689 hasConcept C86803240 @default.
- W2183126689 hasConcept C99173435 @default.
- W2183126689 hasConceptScore W2183126689C107673813 @default.
- W2183126689 hasConceptScore W2183126689C116834253 @default.
- W2183126689 hasConceptScore W2183126689C119857082 @default.
- W2183126689 hasConceptScore W2183126689C124101348 @default.
- W2183126689 hasConceptScore W2183126689C14036430 @default.
- W2183126689 hasConceptScore W2183126689C154945302 @default.
- W2183126689 hasConceptScore W2183126689C160234255 @default.
- W2183126689 hasConceptScore W2183126689C2776214188 @default.
- W2183126689 hasConceptScore W2183126689C37903108 @default.
- W2183126689 hasConceptScore W2183126689C41008148 @default.
- W2183126689 hasConceptScore W2183126689C48921125 @default.
- W2183126689 hasConceptScore W2183126689C49937458 @default.
- W2183126689 hasConceptScore W2183126689C59822182 @default.
- W2183126689 hasConceptScore W2183126689C78458016 @default.
- W2183126689 hasConceptScore W2183126689C86803240 @default.
- W2183126689 hasConceptScore W2183126689C99173435 @default.
- W2183126689 hasLocation W21831266891 @default.
- W2183126689 hasOpenAccess W2183126689 @default.
- W2183126689 hasPrimaryLocation W21831266891 @default.
- W2183126689 hasRelatedWork W1539359091 @default.
- W2183126689 hasRelatedWork W2002994229 @default.
- W2183126689 hasRelatedWork W2020887588 @default.
- W2183126689 hasRelatedWork W2023455172 @default.
- W2183126689 hasRelatedWork W2095058961 @default.
- W2183126689 hasRelatedWork W2151204864 @default.
- W2183126689 hasRelatedWork W2163000344 @default.
- W2183126689 hasRelatedWork W2178783647 @default.
- W2183126689 hasRelatedWork W2207304864 @default.
- W2183126689 hasRelatedWork W2378970078 @default.
- W2183126689 hasRelatedWork W2474632701 @default.
- W2183126689 hasRelatedWork W2731291770 @default.
- W2183126689 hasRelatedWork W2784614573 @default.
- W2183126689 hasRelatedWork W2951126330 @default.
- W2183126689 hasRelatedWork W2955417651 @default.
- W2183126689 hasRelatedWork W3048419302 @default.
- W2183126689 hasRelatedWork W3115152036 @default.
- W2183126689 hasRelatedWork W38101311 @default.
- W2183126689 hasRelatedWork W995910977 @default.
- W2183126689 hasRelatedWork W2399074830 @default.
- W2183126689 isParatext "false" @default.
- W2183126689 isRetracted "false" @default.
- W2183126689 magId "2183126689" @default.
- W2183126689 workType "article" @default.