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20172020
most citedFast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library

12 citations · 37 across the 5 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

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…

physics.data-an2020

MatDRAM: A pure-MATLAB Delayed-Rejection Adaptive Metropolis-Hastings Markov Chain Monte Carlo Sampler

Shashank Kumbhare, Amir Shahmoradi

Markov Chain Monte Carlo (MCMC) algorithms are widely used for stochastic optimization, sampling, and integration of mathematical objective functions, in particular, in the context…

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.MS2020★ 12 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…

cs.MS2020★ 3 cited

ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran

Amir Shahmoradi, Fatemeh Bagheri

ParaMonte (standing for Parallel Monte Carlo) is a serial and MPI/Coarray-parallelized library of Monte Carlo routines for sampling mathematical objective functions of arbitrary-di…

cs.CE2020★ 8 cited

ParaDRAM: A Cross-Language Toolbox for Parallel High-Performance Delayed-Rejection Adaptive Metropolis Markov Chain Monte Carlo Simulations

Amir Shahmoradi, Fatemeh Bagheri

We present ParaDRAM, a high-performance Parallel Delayed-Rejection Adaptive Metropolis Markov Chain Monte Carlo software for optimization, sampling, and integration of mathematical…