Matches in SemOpenAlex for { <https://semopenalex.org/work/W91819771> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W91819771 endingPage "6682" @default.
- W91819771 startingPage "6667" @default.
- W91819771 abstract "In this paper, we propose a nonparametric Bayesian approach for Lindsey and penalized Gaussian mixtures methods. We compare these methods with the Dirichlet process mixture model. Our approach is a Bayesian nonparametric method not based solely on a parametric family of probability distributions. Thus, the fitted models are more robust to model misspecification. Also, with the Bayesian approach, we have the entire posterior distribution of our parameter of interest; it can be summarized through credible intervals, mean, median, standard deviation, quantiles, etc. The Lindsey, penalized Gaussian mixtures, and Dirichlet process mixture methods are reviewed. The estimations are performed via Markov chain Monte Carlo (MCMC) methods. The penalized Gaussian mixtures method is implemented via Hamiltonian Monte Carlo (HMC). We show that under certain regularity conditions, and as n increases, the posterior distribution of the weights converges to a Normal distribution. Simulation results and data analysis are reported." @default.
- W91819771 created "2016-06-24" @default.
- W91819771 creator A5073517506 @default.
- W91819771 date "2020-12-24" @default.
- W91819771 modified "2023-09-27" @default.
- W91819771 title "Comparison of Bayesian nonparametric density estimation methods" @default.
- W91819771 cites W1510659740 @default.
- W91819771 cites W1528242606 @default.
- W91819771 cites W1536497620 @default.
- W91819771 cites W1698248478 @default.
- W91819771 cites W1965179593 @default.
- W91819771 cites W1967687583 @default.
- W91819771 cites W1971713783 @default.
- W91819771 cites W1976968384 @default.
- W91819771 cites W1979593580 @default.
- W91819771 cites W1990420052 @default.
- W91819771 cites W2014268383 @default.
- W91819771 cites W2020653726 @default.
- W91819771 cites W2027106381 @default.
- W91819771 cites W2052953139 @default.
- W91819771 cites W2069429561 @default.
- W91819771 cites W2079501320 @default.
- W91819771 cites W2080972498 @default.
- W91819771 cites W2089484716 @default.
- W91819771 cites W2097492546 @default.
- W91819771 cites W2118020555 @default.
- W91819771 cites W2119047368 @default.
- W91819771 cites W2134169327 @default.
- W91819771 cites W263845233 @default.
- W91819771 cites W2954040150 @default.
- W91819771 cites W3098348269 @default.
- W91819771 cites W4232632925 @default.
- W91819771 cites W4238717354 @default.
- W91819771 cites W4298876635 @default.
- W91819771 doi "https://doi.org/10.1080/03610926.2020.1864828" @default.
- W91819771 hasPublicationYear "2020" @default.
- W91819771 type Work @default.
- W91819771 sameAs 91819771 @default.
- W91819771 citedByCount "0" @default.
- W91819771 crossrefType "journal-article" @default.
- W91819771 hasAuthorship W91819771A5073517506 @default.
- W91819771 hasBestOaLocation W918197712 @default.
- W91819771 hasConcept C102366305 @default.
- W91819771 hasConcept C105795698 @default.
- W91819771 hasConcept C107673813 @default.
- W91819771 hasConcept C111350023 @default.
- W91819771 hasConcept C118671147 @default.
- W91819771 hasConcept C134306372 @default.
- W91819771 hasConcept C169214877 @default.
- W91819771 hasConcept C182310444 @default.
- W91819771 hasConcept C19499675 @default.
- W91819771 hasConcept C2781280628 @default.
- W91819771 hasConcept C28826006 @default.
- W91819771 hasConcept C33923547 @default.
- W91819771 hasConcept C57830394 @default.
- W91819771 hasConcept C61224824 @default.
- W91819771 hasConceptScore W91819771C102366305 @default.
- W91819771 hasConceptScore W91819771C105795698 @default.
- W91819771 hasConceptScore W91819771C107673813 @default.
- W91819771 hasConceptScore W91819771C111350023 @default.
- W91819771 hasConceptScore W91819771C118671147 @default.
- W91819771 hasConceptScore W91819771C134306372 @default.
- W91819771 hasConceptScore W91819771C169214877 @default.
- W91819771 hasConceptScore W91819771C182310444 @default.
- W91819771 hasConceptScore W91819771C19499675 @default.
- W91819771 hasConceptScore W91819771C2781280628 @default.
- W91819771 hasConceptScore W91819771C28826006 @default.
- W91819771 hasConceptScore W91819771C33923547 @default.
- W91819771 hasConceptScore W91819771C57830394 @default.
- W91819771 hasConceptScore W91819771C61224824 @default.
- W91819771 hasFunder F4320311089 @default.
- W91819771 hasIssue "19" @default.
- W91819771 hasLocation W918197711 @default.
- W91819771 hasLocation W918197712 @default.
- W91819771 hasLocation W918197713 @default.
- W91819771 hasLocation W918197714 @default.
- W91819771 hasOpenAccess W91819771 @default.
- W91819771 hasPrimaryLocation W918197711 @default.
- W91819771 hasRelatedWork W1968729950 @default.
- W91819771 hasRelatedWork W2144500541 @default.
- W91819771 hasRelatedWork W2171100500 @default.
- W91819771 hasRelatedWork W2466185796 @default.
- W91819771 hasRelatedWork W2569760205 @default.
- W91819771 hasRelatedWork W2767385368 @default.
- W91819771 hasRelatedWork W2972570039 @default.
- W91819771 hasRelatedWork W3114268180 @default.
- W91819771 hasRelatedWork W4287586899 @default.
- W91819771 hasRelatedWork W4297848738 @default.
- W91819771 hasVolume "51" @default.
- W91819771 isParatext "false" @default.
- W91819771 isRetracted "false" @default.
- W91819771 magId "91819771" @default.
- W91819771 workType "article" @default.