Will Handley

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College Lecturer

Gonville and Caius College, University of Cambridge

United Kingdom

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Recent Grants

Grant: Close

Likelihood free inference and Bayesian Neural Networks

Open Date: 2022-01-01

Close Date: 2024-03-01

Grant: Close

Next generation cosmological analysis with nested sampling

Open Date: 2021-04-01

Close Date: 2024-04-01

Grant: Close

Bayesian model comparison of inflation and spatial curvature

Open Date: 2020-12-01

Close Date: 2021-03-01

Grant: Open

Bayesian machine learning and tensions in cosmology

Open Date: 2020-10-01

Close Date: 2028-09-01

Grant: Close

George Southgate Visiting Fellowship 2020

Open Date: 2020-02-01

Close Date: 2020-02-01

Articles (20)

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Collaborators (5)

Eloy de Lera Acedo

University of Cambridge

UNITED KINGDOM

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Kilian Hikaru Scheutwinkel

University of Cambridge

UNITED KINGDOM

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Jonathan Pritchard

Professor of Astrostatistics

Imperial College London

UNITED KINGDOM

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Pieter Meerburg

Assistant Professor

Rijksuniversiteit Groningen

NETHERLANDS

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Léon V E Koopmans

University of Groningen

NETHERLANDS

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Will Handley

Research Interests

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Recent Grants

Articles (20)

Costless correction of chain based nested sampling parameter estimation in gravitational wave data and beyond

aeons: approximating the end of nested sampling

Fully Bayesian forecasts with evidence networks

Quantum initial conditions for curved inflating universes

Analytic approximations for the primordial power spectrum with Israel junction conditions

On the constraints on superconducting cosmic strings from 21-cm cosmology

Kernel-, mean-, and noise-marginalized Gaussian processes for exoplanet transits and H0 inference

Sky-averaged 21-cm signal extraction using multiple antennas with an SVD framework: the REACH case

Use of time dependent data in Bayesian global 21-cm foreground and signal modelling

Bayesian evidence-driven likelihood selection for sky-averaged 21-cm signal extraction

Inferring Evidence from Nested Sampling Data via Information Field Theory

Inferring Evidence from Nested Sampling Data via Information Field Theory

Non-Gaussian Likelihoods for Type Ia Supernovae Cosmology: Implications for Dark Energy and H<sub>0</sub>

Astrophysical constraints from the SARAS 3 non-detection of the cosmic dawn sky-averaged 21-cm signal

Marginal Bayesian Statistics Using Masked Autoregressive Flows and Kernel Density Estimators with Examples in Cosmology

Author Correction: The REACH radiometer for detecting the 21-cm hydrogen signal from redshift z ≈ 7.5–28

Finite inflation in curved space

The REACH radiometer for detecting the 21-cm hydrogen signal from redshift z ≈ 7.5–28

Primordial power spectra from k -inflation with curvature

Rescuing palindromic universes with improved recombination modeling

Collaborators (5)

Eloy de Lera Acedo

Kilian Hikaru Scheutwinkel

Jonathan Pritchard

Pieter Meerburg

Léon V E Koopmans

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