Ordered probit Bayesian additive regression trees for ordinal data (English)
- New search for: Lee, Jaeyong
- New search for: Hwang, Beom Seuk
- New search for: Lee, Jaeyong
- New search for: Hwang, Beom Seuk
In:
Stat
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13
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2024
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Ordered probit Bayesian additive regression trees for ordinal data
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Contributors:Lee, Jaeyong ( author ) / Hwang, Beom Seuk ( author )
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Published in:Stat ; 13, 1
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Publisher:
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Publication date:2024-01-01
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Size:13 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 13, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Ordered probit Bayesian additive regression trees for ordinal dataLee, Jaeyong / Hwang, Beom Seuk et al. | 2024
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Graph‐based mutually exciting point processes for modelling event times in docked bike‐sharing systemsSanna Passino, Francesco / Che, Yining / Cardoso Correia Perello, Carlos et al. | 2024
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Softplus negative binomial network autoregressionGuo, Xiangyu / Zhu, Fukang et al. | 2024
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Reproducible research practices: A tool for effective and efficient leadership in collaborative statisticsHochheimer, Camille J. / Bosma, Grace N. / Gunn‐Sandell, Lauren / Sammel, Mary D. et al. | 2024
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Reducing the statistical error of generative adversarial networks using space‐filling samplingWang, Sumin / Gao, Yuyou / Zhou, Yongdao / Pan, Bin / Xu, Xia / Li, Tao et al. | 2024
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Highly private large‐sample tests for contingency tablesJung, Sungkyu / Woo Kwak, Seung et al. | 2024
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Linear mixed models for complex survey data: Implementing and evaluating pairwise likelihoodLumley, Thomas / Huang, Xudong et al. | 2024
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Optimal designs for crossover model with partial interactionsZhang, Futao / Druilhet, Pierre / Kong, Xiangshun et al. | 2024
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Asymptotic behaviour of a non‐autonomous multispecies Holling type II model with a complex type of noisesXu, Libai / Ma, Xintong / Zhao, Yanyan et al. | 2024
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Some benefits of standardisation for conditional extremesRohrbeck, Christian / Tawn, Jonathan A. et al. | 2024
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Iterative estimating equations for disease mapping with spatial zero‐inflated Poisson dataLin, Pei‐Sheng / Zhu, Jun / Lin, Feng‐Chang et al. | 2024
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Image registration for zooming: A statistically consistent local feature mapping approachDas, Sujay / Roy, Anik / Sarathi Mukherjee, Partha et al. | 2024
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A confidence machine for sparse high‐order interaction modelDas, Diptesh / Ndiaye, Eugene / Takeuchi, Ichiro et al. | 2024
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Estimation of the density for censored and contaminated dataVan Keilegom, Ingrid / Kekeç, Elif et al. | 2024
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Differentially private outcome‐weighted learning for optimal dynamic treatment regime estimationSpicker, Dylan / Moodie, Erica E. M. / Shortreed, Susan M. et al. | 2024
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Deep learning models to predict primary open‐angle glaucomaZhou, Ruiwen / Philip Miller, J. / Gordon, Mae / Kass, Michael / Lin, Mingquan / Peng, Yifan / Li, Fuhai / Feng, Jiarui / Liu, Lei et al. | 2024
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An EWMA sign chart for monitoring processes with fixed and variable sample sizesHaq, Abdul et al. | 2024
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Machine collaborationLiu, Qingfeng / Feng, Yang et al. | 2024
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What matters to graduate students? Experiences at a statistical consulting center from pre‐ to post‐COVID‐19 pandemicHuebner, Marianne / Pierce, Steven J. / Dennhardt, Andrew J. / Akaeze, Hope / Jess, Nicole / Ma, Wenjuan et al. | 2024
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New bounds and search for maximin distance U‐type designsLiu, Sixu / Wang, Yaping et al. | 2024
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Table inference for combinatorial origin‐destination choices in agent‐based population synthesisZachos, Ioannis / Damoulas, Theodoros / Girolami, Mark et al. | 2024
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Issue Information| 2024
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Developing partnerships for academic data science consulting and collaboration unitsHuebner, Marianne / Bond, Laura / Stukes, Felesia / Herndon, Joel / Edwards, David J. / Pomann, Gina‐Maria et al. | 2024
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Equivalence testing for multiple groupsPourmohamad, Tony / Lee, Herbert K. H. et al. | 2024
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Development of network‐guided transcriptomic risk score for disease predictionCao, Xuan / Zhang, Liangliang / Lee, Kyoungjae et al. | 2024
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A note about why deep learning is deep: A discontinuous approximation perspectiveLi, Yongxin / Qi, Haobo / Wang, Hansheng et al. | 2024
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‐optimal designs for multi‐response linear models with two groupsLiu, Xin / He, Lei / Yue, Rong‐Xian et al. | 2024