Welcome

• Daniel Phillips (Ohio)

Room: Seminarraum 18 Building S3|20

An introduction to Bayesian methods for physicists

• Dick Furnstahl

Room: Seminarraum 18 Building S3|20

Global sensitivity analysis for complex models

• Jeremy Oakley (Sheffield)

Room: Seminarraum 18 Building S3|20

EMMI

• Carlo Ewerz (GSI, Darmstadt)

Room: Seminarraum 18 Building S3|20

Examining the Origin of the r-process Rare-Earth Abundance Peak with Markov Chain Monte Carlo

• Nicole Vaash (Notre Dame)

Room: Seminarraum 18 Building S3|20

Nucleosynthesis in neutrino-driven supernova ejecta: astrophysical and nuclear physics uncertainties

• Julia Bliss

Room: Seminarraum 18 Building S3|20

Capturing uncertainty about model inputs using expert elicitation

• John-Paul Gosling (Leeds)

Room: Seminarraum 18 Building S3|20

Dynamical modeling of heavy-ion reactions

• Hannah Elfner (Frankfurt)

Room: Seminarraum 18 Building S3|20

Using Model Emulators for An Inverse Problem

• Scott Pratt (Michigan State University)

Room: Seminarraum 18 Building S3|20

Uncertainty quantification for the three-nucleon force with light-ion reactions

• Kostas Krawaris (Florida State / Lawrence Livermore National Lab)

Room: Seminarraum 18 Building S3|20

Uncertainty estimates from R-matrix analyses

• Richard deBoer (Notre Dame)

Room: Seminarraum 18 Building S3|20

A new bootstrap-based fitting method

• Paolo Pedroni (Pavia)

Room: Seminarraum 18 Building S3|20

Optimization problems in nuclear theory

• Stefan Wild (Argonne Nat. lab.)

Room: Seminarraum 18 Building S3|20

Optimization and parameter reduction in nuclear EDFs

• Tamara Niksic (Zagreb)

Room: Seminarraum 18 Building S3|20

Bayesian parameter estimation in NN scattering

• Sarah Wesolowski (Salisbury)

Room: Seminarraum 18 Building S3|20

Bayesian parameter estimation and model evidence for nuclear EFT

• Christian Forssén (Chalmers)

Room: Seminarraum 18 Building S3|20

Using Bayesian approaches to design new expensive experiments

• Ian Vernon

Room: Seminarraum 18 Building S3|20

Compton scattering observables, errors, and goals

• Harald Grießhammer (George Washington)

Room: Seminarraum 18 Building S3|20

Statistical methods for Parton Distribution Functions

• Emmanuele Nocera (Edinburgh / NIKHEF)

Room: Seminarraum 18 Building S3|20

Uncertainty estimates for nuclear matter and neutron-rich nuclei

• Achim Schwenk (TU Darmstadt)

Room: Seminarraum 18 Building S3|20

Observables probing the nuclear pairing functional

• P.-G. Reinhard (Erlangen)

Room: Seminarraum 18 Building S3|20

Approximate Bayesian computation for expensive simulators

• Richard Wilkinson (Sheffield)

Bayesian optimization of the NN interaction

• Andreas Ekström (Chalmers University of Technology)

Global fits and Bayesian inference in "Beyond the Standard Model" physics

• Ben Farmer (Imperial College, London)

Model selection for the spectrum of light baryons

• Michael Döring (Geprge Washington)

A statistical study of the transition from isolated resonances to the continuum

• Carl Brune (Ohio)

Computer model calibration, emulation, and discrepancy analysis

• Michael Grosskopf (Los Amalos National Lab)

Quantifying Errors from Chiral Effective Field Theory

• Jordan Melendez (Ohio State)

Nuclear structure corrections in muonic atoms: Quantifying theoretical uncertainties

• Javier Hernandez (Victoria / Mainz)

Gaussian Processes and Expected Improvement for Fitting Nuclear Models

• Matthew Shelley (New York)

Uncertainty in nuclear-reaction calculations involving halo nuclei

• Pierre Capel (Brussels / Mainz)

Quantifying errors in EFTs of heavy nuclei

• Toño Coello Perez (TU Darmstadt)

Model-based extrapolation of nuclear observables via Bayesian machine learning

• Léo Neufcourt

Room: Seminarraum 18 Building S3|20

Extrapolations with Bayesian machine learning

• Witek Nazarewicz (Michigan State)

Room: Seminarraum 18 Building S3|20

Bayesian Model Mixing: A Nuclear Physics Perspective

• Vojtech Kejzlar (Michigan State University)

Room: Seminarraum 18 Building S3|20

Nucleon axial form factor from a Bayesian neural-network analysis of neutrino-scattering data

• Krzysztof Graczyk (Wroclaw)

Room: Seminarraum 18 Building S3|20

Machine Learning and Precision Analysis at GlueX

• Daniel Lersch (Florida State)

Room: Seminarraum 18 Building S3|20