most citedFast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library

12 citations · 12 across the 1 of their papers we have counts for

collaborators

4 papers

astro-ph.HE2020

Are there radio-loud and radio-quiet Gamma-Ray Bursts?

Joshua Alexander Osborne, Fatemeh Bagheri, Amir Shahmoradi

The potential existence of two separate classes of Long-duration Gamma-Ray Bursts (LGRBs) with and without radio afterglow emission, corresponding to radio-bright/loud and radio-da…

astro-ph.HE2020

How unbiased statistical methods lead to biased scientific discoveries: A case study of the Efron-Petrosian statistic applied to the luminosity-redshift evolution of Gamma-Ray Bursts

Christopher Bryant, Joshua Alexander Osborne, Amir Shahmoradi

Statistical methods are frequently built upon assumptions that limit their applicability to certain problems and conditions. Failure to recognize these limitations can lead to conc…

cs.MS202012 cited

Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library

Amir Shahmoradi, Fatemeh Bagheri, Joshua Alexander Osborne

ParaMonte::Python (standing for Parallel Monte Carlo in Python) is a serial and MPI-parallelized library of (Markov Chain) Monte Carlo (MCMC) routines for sampling mathematical obj…

astro-ph.HE2020

A Multilevel Empirical Bayesian Approach to Estimating the Unknown Redshifts of 1366 BATSE Catalog Long-Duration Gamma-Ray Bursts

Joshua A. Osborne, Amir Shahmoradi, Robert J. Nemiroff

We present a catalog of the probabilistic redshift estimates and for 1366 individual Long-duration Gamma-Ray Bursts (LGRBs) detected by the Burst And Transient Source Experiment (B…