A Bayesian approach for the selection of predictor variables in the L-H power 
threshold scaling in metal-wall machines

Zhang, Peizheng; Delabie, E.; Solano, E. R.; Hughes, J.; Verdoolaege, G.; ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society; JET Contributors

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A Bayesian approach for the selection of predictor variables in the L-H power threshold scaling in metal-wall machines

Zhang, P., Delabie, E., Solano, E. R., Hughes, J., Verdoolaege, G., ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society, et al. (2025). A Bayesian approach for the selection of predictor variables in the L-H power threshold scaling in metal-wall machines. Talk presented at 6th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis. Shanghai. 2025-09-09 - 2025-09-12.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0012-0D22-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0012-0D23-7

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Creators:
Zhang, Peizheng¹, Author
Delabie, E.¹, Author
Solano, E. R.¹, Author
Hughes, J.¹, Author
Verdoolaege, G.¹, Author
ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society, Author
JET Contributors, Author

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1External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Submitted: 2025

Publication Status: Submitted

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Title: 6th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis

Place of Event: Shanghai

Start-/End Date: 2025-09-09 - 2025-09-12

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