Logitboost autoregressive networks

DOI10.1016/j.csda.2017.03.010zbMath1464.62082arXiv1703.07506OpenAlexW2595314642MaRDI QIDQ1654262

Marc Goessling

Publication date: 7 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1703.07506

zbMATH Keywords

autoregressive modelconditional distributionboosting

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• UCI-ml
• BayesTree
• XGBoost
• MADE
• BartPy

Cites Work

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• Greedy function approximation: A gradient boosting machine.
• BART: Bayesian additive regression trees
• Boosting nonlinear additive autoregressive time series
• A Bayesian method for the induction of probabilistic networks from data
• Tree induction for probability-based ranking
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Boosting With theL₂Loss
• Sparse Additive Models
• 10.1162/153244303322753616

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