activity
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

collaborators

5 papers

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…

cs.MS20203 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.CE20208 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…

astro-ph.HE20198 cited

A Catalog of Redshift Estimates for 1366 BATSE Long-Duration Gamma-Ray Bursts: Evidence for Strong Selection Effects on the Phenomenological Prompt Gamma-Ray Correlations

Amir Shahmoradi, Robert J. Nemiroff

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

physics.data-an20176 cited

Multilevel Bayesian Parameter Estimation in the Presence of Model Inadequacy and Data Uncertainty

Amir Shahmoradi

Model inadequacy and measurement uncertainty are two of the most confounding aspects of inference and prediction in quantitative sciences. The process of scientific inference (the…