13 citations · 13 across the 1 of their papers we have counts for
3 papers
Faster Hamiltonian Monte Carlo by Learning Leapfrog Scale: a self-calibrated randomized solution
Changye Wu, Pierre Pudlo, Christian P. Robert +1
We introduce a Hamiltonian Monte Carlo (HMC) methodology based on a randomized selection of integration times, referred to as eHMC, where "e" stands for empirical. The approach rel…
Owl-z: a Bayesian tool to select z \geq 7 quasars
Meriam Ezziati, Roser Pello, Jean-Gabriel Cuby +9
This paper presents Owl-z, a Bayesian code aiming at identifying z \geq 7 quasars in wide field optical and near-infrared surveys. By construction,the code can also be used to sele…
Reconciling Binary Replicates: Beyond the Average
Manuela Royer-Carenzi, Hadrien Lorenzo, Pierre Pudlo
Binary observations are often repeated to improve data quality, creating technical replicates. Several scoring methods are commonly used to infer the actual individual state and ob…