Matches in SemOpenAlex for { <https://semopenalex.org/work/W2337273106> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2337273106 endingPage "3355" @default.
- W2337273106 startingPage "3337" @default.
- W2337273106 abstract "In this paper, we consider an effective Bayesian inference for censored Student-t linear regression model, which is a robust alternative to the usual censored Normal linear regression model. Based on the mixture representation of the Student-t distribution, we propose a non-iterative Bayesian sampling procedure to obtain independently and identically distributed samples approximately from the observed posterior distributions, which is different from the iterative Markov Chain Monte Carlo algorithm. We conduct model selection and influential analysis using the posterior samples to choose the best fitted model and to detect latent outliers. We illustrate the performance of the procedure through simulation studies, and finally, we apply the procedure to two real data sets, one is the insulation life data with right censoring and the other is the wage rates data with left censoring, and we get some interesting results." @default.
- W2337273106 created "2016-06-24" @default.
- W2337273106 creator A5074767404 @default.
- W2337273106 creator A5083368093 @default.
- W2337273106 date "2016-04-20" @default.
- W2337273106 modified "2023-09-23" @default.
- W2337273106 title "A non-iterative Bayesian sampling algorithm for censored Student-tlinear regression models" @default.
- W2337273106 cites W1980698239 @default.
- W2337273106 cites W1984288612 @default.
- W2337273106 cites W1987103433 @default.
- W2337273106 cites W1996740811 @default.
- W2337273106 cites W2004838084 @default.
- W2337273106 cites W2010670304 @default.
- W2337273106 cites W2015083885 @default.
- W2337273106 cites W2035608307 @default.
- W2337273106 cites W2055398703 @default.
- W2337273106 cites W2060865239 @default.
- W2337273106 cites W2064202407 @default.
- W2337273106 cites W2098665527 @default.
- W2337273106 cites W2102236934 @default.
- W2337273106 cites W2168282542 @default.
- W2337273106 cites W2182431228 @default.
- W2337273106 cites W3126000587 @default.
- W2337273106 cites W626620119 @default.
- W2337273106 cites W86711471 @default.
- W2337273106 doi "https://doi.org/10.1080/00949655.2016.1177050" @default.
- W2337273106 hasPublicationYear "2016" @default.
- W2337273106 type Work @default.
- W2337273106 sameAs 2337273106 @default.
- W2337273106 citedByCount "2" @default.
- W2337273106 countsByYear W23372731062021 @default.
- W2337273106 countsByYear W23372731062023 @default.
- W2337273106 crossrefType "journal-article" @default.
- W2337273106 hasAuthorship W2337273106A5074767404 @default.
- W2337273106 hasAuthorship W2337273106A5083368093 @default.
- W2337273106 hasConcept C105795698 @default.
- W2337273106 hasConcept C107673813 @default.
- W2337273106 hasConcept C111350023 @default.
- W2337273106 hasConcept C11413529 @default.
- W2337273106 hasConcept C137668524 @default.
- W2337273106 hasConcept C158424031 @default.
- W2337273106 hasConcept C160234255 @default.
- W2337273106 hasConcept C33923547 @default.
- W2337273106 hasConcept C37903108 @default.
- W2337273106 hasConcept C48921125 @default.
- W2337273106 hasConcept C57830394 @default.
- W2337273106 hasConcept C64946054 @default.
- W2337273106 hasConcept C79337645 @default.
- W2337273106 hasConceptScore W2337273106C105795698 @default.
- W2337273106 hasConceptScore W2337273106C107673813 @default.
- W2337273106 hasConceptScore W2337273106C111350023 @default.
- W2337273106 hasConceptScore W2337273106C11413529 @default.
- W2337273106 hasConceptScore W2337273106C137668524 @default.
- W2337273106 hasConceptScore W2337273106C158424031 @default.
- W2337273106 hasConceptScore W2337273106C160234255 @default.
- W2337273106 hasConceptScore W2337273106C33923547 @default.
- W2337273106 hasConceptScore W2337273106C37903108 @default.
- W2337273106 hasConceptScore W2337273106C48921125 @default.
- W2337273106 hasConceptScore W2337273106C57830394 @default.
- W2337273106 hasConceptScore W2337273106C64946054 @default.
- W2337273106 hasConceptScore W2337273106C79337645 @default.
- W2337273106 hasIssue "16" @default.
- W2337273106 hasLocation W23372731061 @default.
- W2337273106 hasOpenAccess W2337273106 @default.
- W2337273106 hasPrimaryLocation W23372731061 @default.
- W2337273106 hasRelatedWork W1487067447 @default.
- W2337273106 hasRelatedWork W2111653092 @default.
- W2337273106 hasRelatedWork W2131670611 @default.
- W2337273106 hasRelatedWork W2162457363 @default.
- W2337273106 hasRelatedWork W2337273106 @default.
- W2337273106 hasRelatedWork W2358754556 @default.
- W2337273106 hasRelatedWork W2604963692 @default.
- W2337273106 hasRelatedWork W2617021092 @default.
- W2337273106 hasRelatedWork W3121470121 @default.
- W2337273106 hasRelatedWork W4312698573 @default.
- W2337273106 hasVolume "86" @default.
- W2337273106 isParatext "false" @default.
- W2337273106 isRetracted "false" @default.
- W2337273106 magId "2337273106" @default.
- W2337273106 workType "article" @default.