Skip to content

williamjameshandley/talks

master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Code

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 

Will Handley's academic talks

Academic talks

  1. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  2. unimpeded: Universal model comparison and parameter estimation distributed over every dataset
  3. Cosmological inference tools: marginal statistics and fully Bayesian forecasts.
  4. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  5. Nested sampling tools
  6. Nested sampling: powering next-generation inference and machine learning tools for astrophysics, cosmology, particle physics and beyond
  7. Nested sampling: powering next-generation inference and machine learning tools for cosmology, particle physics and beyond
    • King's college, London, UK
    • PDF
    • source
    • Aug 2023
  8. The scaling frontier of nested sampling: Summary talk
    • Conference summary talk Frontiers of nested sampling NS2023
    • PDF
    • source
    • Jul 2023
  9. Gradients and nested sampling: The present state of the art
  10. Nested Sampling: A multi-purpose numerical tool for science and machine learning
    • Invited seminar at ETH Zurich
    • PDF
    • source
    • Mar 2023
  11. High dimensional nested sampling
  12. Theory, observation & cosmological inference
  13. Next generation cosmological analysis with nested sampling
  14. Next generation cosmological analysis with nested sampling
  15. Nested Sampling: An efficient and robust Bayesian inference tool for particle physics and cosmology
  16. Frontiers of nested sampling
  17. Nested Sampling and Likelihood Free Inference
  18. Statistical methods in cosmology
  19. Review on Statistical Tools and Samplers
  20. Bayesian methods for quantifying global parameter tensions between cosmological datasets
  21. Nested sampling: An efficient and robust Bayesian inference tool for 21cm cosmology
  22. Nested Sampling: An efficient and robust Bayesian inference tool for physics and machine learning
    • University of Adelaide Colloquium, Australia
    • PDF
    • source
    • Feb 2020
  23. Nested Sampling: An efficient and robust Bayesian inference tool for astrophysics and cosmology
    • University of Oxford Seminar, UK
    • PDF
    • source
    • Jan 2020
  24. Quantised primordial power spectra
  25. Nested Sampling: an efficient and robust Bayesian inference tool for Machine Learning and Data Science
    • University of Cambridge CDT Seminar, UK
    • PDF
    • source
    • Nov 2019
  26. Curvature tension: Evidence for a closed universe (?)
    • University of Portsmouth seminar, UK
    • PDF
    • source
    • Aug 2019
  27. Quantifying cosmological tensions
    • University College London seminar, UK
    • PDF
    • source
    • Jul 2019
  28. Likelihood free inference
  29. Compromise-free Bayesian sparse reconstruction
  30. Inflation, curvature and kinetic dominance
  31. BAMBI: Resurrection -- Blind Accelerated Multimodal Bayesian Inference
  32. Nested Sampling: an efficient and robust Bayesian inference tool for cosmology and particle physics
  33. Bayesian inference: The state of the art in cosmology and astrophysics
    • Cambridge at the Third Asterics-Obelics workshop
    • PDF
    • [PDF]
    • source
    • Oct 2018
  34. Planck, inflation and the future of inflationary constraints
  35. MaxEnt priors with derived parameters in a specified distribution
    • Battcock coffee-time mini-seminar, Cambridge
    • source
    • PDF
    • May 2018
  36. Nested Sampling: an efficient and robust Bayesian inference tool for astrophysics and cosmology
    • Imperial college seminar, London
    • source
    • PDF
    • May 2018
  37. Introduction to Statistics
  38. Modern Bayesian Inference
    • Seminar at Aachen RWTH
    • source
    • PDF
    • April 2017
  39. Statistics
  40. PolyChord 2.0: Advances in Nested Sampling with astrophysical applications
    • Seminar at Center for Computational Astrophysics (CCA) Flatiron Institute, New York City, US
    • source
    • PDF
    • Feb 2017
  41. PolyChord 2.0 and the future of nested sampling
    • September 2016
    • Seminar at University College London, UK
    • source
    • PDF
  42. PolyChord 2.0 and the future of nested sampling
    • May 2016
    • Seminar at Sussex University, UK
    • source
    • PDF
  43. PolyChord and the future of nested sampling
  44. PolyChord: next generation nested sampling
    • Dec 2015
    • Seminar at MPA Max Planck Institute, Garching, Germany.
    • source
    • PDF