Materials (pre-school)

[pablo]

We can use this as a space to add materials for attendees that want to start reading and have a kick start before the school begins

[pablo]

Dimensionality reduction in general

Reduced basis methods:

• Jupyter book about RBMs
• Paper with the main ideas for nuclear physics
• Another cool guide in nuclear physics
• Formal math book

Model Order Reduction:

• Model Order Reduction of parametrized systems book
• MORe ideas for nuclear physics

Data-driven approaches:

• Super cool video on SINDy
• Awesome book on data-driven science and its webpage
• 2022 Review of Data-Driven Plasma Science
• Online Bayesian optimization for a recoil mass separator
• Neural Networks to the rescue!

[pablo]

Bayesian introductions

• Introduction to Bayesian ideas with Frederi and Pablo (and Nori!)
• Github repository for the challenges in the Bayesian primer presentation at the 2023 Frontiers Summer School
• Excellent TALENT course on Bayesian methods
• Gelman’s classic book on Bayesian things

[Alexandra]

Bayesian Model Averaging and Model Mixing

• BAND Manifesto (see Section 3 for the BMA/BMM specific stuff, and Section 4.4)
• Our paper on Bayesian model mixing with a toy model example
• Fellow BAND member John Yannotty’s paper on BMM using regression trees (and refs in this paper might also be useful if you want to deep dive)