Joint Quantile Regression through Bayesian Semiparametrics ...
We introduce a Bayesian semiparametric methodology for joint quantile regression with linearity and piecewise linearity constraints. We develop a probability model for all quantile curves in a continuum that define a coherent sampling distribution of the response variable. We provide a detailed illu...
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| Format: | Other Non-Article Part of Journal/Newspaper |
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Carnegie Mellon University
2004
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| Online Access: | https://dx.doi.org/10.1184/r1/6586691 https://kilthub.cmu.edu/articles/Joint_Quantile_Regression_through_Bayesian_Semiparametrics/6586691 |
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ftdatacite:10.1184/r1/6586691 2023-08-27T04:10:46+02:00 Joint Quantile Regression through Bayesian Semiparametrics ... Tokdar, Surya T. Kadane, Joseph B. 2004 https://dx.doi.org/10.1184/r1/6586691 https://kilthub.cmu.edu/articles/Joint_Quantile_Regression_through_Bayesian_Semiparametrics/6586691 unknown Carnegie Mellon University In Copyright http://rightsstatements.org/vocab/InC/1.0/ Probability Statistics FOS Mathematics Text article-journal Journal contribution ScholarlyArticle 2004 ftdatacite https://doi.org/10.1184/r1/6586691 2023-08-07T14:24:23Z We introduce a Bayesian semiparametric methodology for joint quantile regression with linearity and piecewise linearity constraints. We develop a probability model for all quantile curves in a continuum that define a coherent sampling distribution of the response variable. We provide a detailed illustration of model fitting and inference by analyzing wind speed trends of tropical cyclones in the North Atlantic. ... Other Non-Article Part of Journal/Newspaper North Atlantic DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
| language |
unknown |
| topic |
Probability Statistics FOS Mathematics |
| spellingShingle |
Probability Statistics FOS Mathematics Tokdar, Surya T. Kadane, Joseph B. Joint Quantile Regression through Bayesian Semiparametrics ... |
| topic_facet |
Probability Statistics FOS Mathematics |
| description |
We introduce a Bayesian semiparametric methodology for joint quantile regression with linearity and piecewise linearity constraints. We develop a probability model for all quantile curves in a continuum that define a coherent sampling distribution of the response variable. We provide a detailed illustration of model fitting and inference by analyzing wind speed trends of tropical cyclones in the North Atlantic. ... |
| format |
Other Non-Article Part of Journal/Newspaper |
| author |
Tokdar, Surya T. Kadane, Joseph B. |
| author_facet |
Tokdar, Surya T. Kadane, Joseph B. |
| author_sort |
Tokdar, Surya T. |
| title |
Joint Quantile Regression through Bayesian Semiparametrics ... |
| title_short |
Joint Quantile Regression through Bayesian Semiparametrics ... |
| title_full |
Joint Quantile Regression through Bayesian Semiparametrics ... |
| title_fullStr |
Joint Quantile Regression through Bayesian Semiparametrics ... |
| title_full_unstemmed |
Joint Quantile Regression through Bayesian Semiparametrics ... |
| title_sort |
joint quantile regression through bayesian semiparametrics ... |
| publisher |
Carnegie Mellon University |
| publishDate |
2004 |
| url |
https://dx.doi.org/10.1184/r1/6586691 https://kilthub.cmu.edu/articles/Joint_Quantile_Regression_through_Bayesian_Semiparametrics/6586691 |
| genre |
North Atlantic |
| genre_facet |
North Atlantic |
| op_rights |
In Copyright http://rightsstatements.org/vocab/InC/1.0/ |
| op_doi |
https://doi.org/10.1184/r1/6586691 |
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1775353072361406464 |