Matches in SemOpenAlex for { <https://semopenalex.org/work/W2945204561> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2945204561 abstract "The Hawkes process has been widely applied to modeling self-exciting events, including neuron spikes, earthquakes and tweets. To avoid designing parametric kernel functions and to be able to quantify the prediction confidence, non-parametric Bayesian Hawkes processes have been proposed. However the inference of such models suffers from unscalability or slow convergence. In this paper, we first propose a new non-parametric Bayesian Hawkes process whose triggering kernel is modeled as a squared sparse Gaussian process. Second, we present the variational inference scheme for the model optimization, which has the advantage of linear time complexity by leveraging the stationarity of the triggering kernel. Third, we contribute a tighter lower bound than the evidence lower bound of the marginal likelihood for the model selection. Finally, we exploit synthetic data and large-scale social media data to validate the efficiency of our method and the practical utility of our approximate marginal likelihood. We show that our approach outperforms state-of-the-art non-parametric Bayesian and non-Bayesian methods." @default.
- W2945204561 created "2019-05-29" @default.
- W2945204561 creator A5063357214 @default.
- W2945204561 creator A5065037360 @default.
- W2945204561 creator A5069685493 @default.
- W2945204561 date "2019-05-25" @default.
- W2945204561 modified "2023-09-27" @default.
- W2945204561 title "Sparse Gaussian Process Modulated Hawkes Process." @default.
- W2945204561 cites W1618600317 @default.
- W2945204561 cites W1746819321 @default.
- W2945204561 cites W2069849731 @default.
- W2945204561 cites W2085512286 @default.
- W2945204561 cites W2096845327 @default.
- W2945204561 cites W2099768828 @default.
- W2945204561 cites W2162596909 @default.
- W2945204561 cites W2169532830 @default.
- W2945204561 cites W2328875713 @default.
- W2945204561 cites W2403458786 @default.
- W2945204561 cites W2964255676 @default.
- W2945204561 cites W2965996094 @default.
- W2945204561 cites W3101614988 @default.
- W2945204561 hasPublicationYear "2019" @default.
- W2945204561 type Work @default.
- W2945204561 sameAs 2945204561 @default.
- W2945204561 citedByCount "1" @default.
- W2945204561 countsByYear W29452045612021 @default.
- W2945204561 crossrefType "posted-content" @default.
- W2945204561 hasAuthorship W2945204561A5063357214 @default.
- W2945204561 hasAuthorship W2945204561A5065037360 @default.
- W2945204561 hasAuthorship W2945204561A5069685493 @default.
- W2945204561 hasConcept C105795698 @default.
- W2945204561 hasConcept C107673813 @default.
- W2945204561 hasConcept C11413529 @default.
- W2945204561 hasConcept C114614502 @default.
- W2945204561 hasConcept C117251300 @default.
- W2945204561 hasConcept C119857082 @default.
- W2945204561 hasConcept C121332964 @default.
- W2945204561 hasConcept C154945302 @default.
- W2945204561 hasConcept C160234255 @default.
- W2945204561 hasConcept C163716315 @default.
- W2945204561 hasConcept C2776214188 @default.
- W2945204561 hasConcept C33923547 @default.
- W2945204561 hasConcept C41008148 @default.
- W2945204561 hasConcept C61326573 @default.
- W2945204561 hasConcept C62520636 @default.
- W2945204561 hasConcept C74193536 @default.
- W2945204561 hasConcept C95923904 @default.
- W2945204561 hasConceptScore W2945204561C105795698 @default.
- W2945204561 hasConceptScore W2945204561C107673813 @default.
- W2945204561 hasConceptScore W2945204561C11413529 @default.
- W2945204561 hasConceptScore W2945204561C114614502 @default.
- W2945204561 hasConceptScore W2945204561C117251300 @default.
- W2945204561 hasConceptScore W2945204561C119857082 @default.
- W2945204561 hasConceptScore W2945204561C121332964 @default.
- W2945204561 hasConceptScore W2945204561C154945302 @default.
- W2945204561 hasConceptScore W2945204561C160234255 @default.
- W2945204561 hasConceptScore W2945204561C163716315 @default.
- W2945204561 hasConceptScore W2945204561C2776214188 @default.
- W2945204561 hasConceptScore W2945204561C33923547 @default.
- W2945204561 hasConceptScore W2945204561C41008148 @default.
- W2945204561 hasConceptScore W2945204561C61326573 @default.
- W2945204561 hasConceptScore W2945204561C62520636 @default.
- W2945204561 hasConceptScore W2945204561C74193536 @default.
- W2945204561 hasConceptScore W2945204561C95923904 @default.
- W2945204561 hasLocation W29452045611 @default.
- W2945204561 hasOpenAccess W2945204561 @default.
- W2945204561 hasPrimaryLocation W29452045611 @default.
- W2945204561 hasRelatedWork W2166471851 @default.
- W2945204561 hasRelatedWork W2551133224 @default.
- W2945204561 hasRelatedWork W2555699918 @default.
- W2945204561 hasRelatedWork W2583783869 @default.
- W2945204561 hasRelatedWork W2728803307 @default.
- W2945204561 hasRelatedWork W2784719229 @default.
- W2945204561 hasRelatedWork W2940124612 @default.
- W2945204561 hasRelatedWork W2949971467 @default.
- W2945204561 hasRelatedWork W2951336346 @default.
- W2945204561 hasRelatedWork W2951838364 @default.
- W2945204561 hasRelatedWork W2953303000 @default.
- W2945204561 hasRelatedWork W2963542673 @default.
- W2945204561 hasRelatedWork W2964193640 @default.
- W2945204561 hasRelatedWork W2997337403 @default.
- W2945204561 hasRelatedWork W3033508645 @default.
- W2945204561 hasRelatedWork W3035427827 @default.
- W2945204561 hasRelatedWork W3124960917 @default.
- W2945204561 hasRelatedWork W3157388674 @default.
- W2945204561 hasRelatedWork W3183359936 @default.
- W2945204561 hasRelatedWork W2988743537 @default.
- W2945204561 isParatext "false" @default.
- W2945204561 isRetracted "false" @default.
- W2945204561 magId "2945204561" @default.
- W2945204561 workType "article" @default.