Views provided by UsageCounts
idl_emcee - IDL implementation of the affine-invariant MCMC Hammer idl_emcee is an Interactive Data Language (IDL)/GNU Data Language (GDL) implementation of the affine-invariant Markov chain Monte Carlo (MCMC) ensemble sampler, based on sl_emcee by M. A. Nowak, an S-Lang/ISIS implementation of the MCMC Hammer proposed by Goodman & Weare (2010), and then implemented in Python (emcee) by Foreman-Mackey et al. (2013). Update Summary Option for printing the progress percentage Add Jupyter Notebooks Add GDL kernel for Jupyter Add .gdl_startup and .bashrc for GDL in Jupyter
emcee, GDL, MCMC, hammer, ensemble-sampler, IDL
emcee, GDL, MCMC, hammer, ensemble-sampler, IDL
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 7 |

Views provided by UsageCounts