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4 results for “transdimensional”
Kernel-, mean- and noise-marginalised Gaussian processes for exoplanet transits and H0H_0 inferenceastro-ph.CO

Bayesian Gaussian Processes improve exoplanet transit and Hubble constant inference.

problem Improving exoplanet transit and Hubble constant inference using Bayesian Gaussian Processes.
method Kernel-, mean- and noise-marginalised Gaussian Processes with evidence-based model comparison and transdimensional sampling.
result Inferred Hubble constant H0H_0 values from cosmic chronometers, baryon acoustic oscillations and combined datasets are 66±6 km s−1 Mpc−166 \pm 6\, \mathrm{km}\,\mathrm{s}^{-1}\,\mathrm{Mpc}^{-1}, 67±10 km s−1 Mpc−167 \pm 10\, \mathrm{km}\,\mathrm{s}^{-1}\,\mathrm{Mpc}^{-1} and 69±6 km s−1 Mpc−169 \pm 6\, \mathrm{km}\,\mathrm{s}^{-1}\,\mathrm{Mpc}^{-1}, respectively.
Bayesian Gaussian ProcessesExoplanet TransitsHubble ConstantCosmic ChronometersBaryon Acoustic Oscillations
2023-11-07abs ↗pdf ↗