Follow
Joshua osborne
Title
Cited by
Cited by
Year
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 …
CM Bryant, JA Osborne, A Shahmoradi
Monthly Notices of the Royal Astronomical Society 504 (3), 4192-4203, 2021
182021
Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte:: Python library
A Shahmoradi, F Bagheri, JA Osborne
arXiv preprint arXiv:2010.00724, 2020
122020
A Multilevel Empirical Bayesian Approach to Estimating the Unknown Redshifts of 1366 BATSE Catalog Long-duration Gamma-Ray Bursts
JA Osborne, A Shahmoradi, RJ Nemiroff
The Astrophysical Journal 903 (1), 33, 2020
92020
Are there radio-loud and radio-quiet Gamma-Ray Bursts?
JA Osborne, F Bagheri, A Shahmoradi
Monthly Notices of the Royal Astronomical Society 502 (4), 5622-5630, 2021
62021
An alternative statistical interpretation for the first direct evidence of Collapsars
JA Osborne, CM Bryant, F Bagheri, A Shahmoradi
arXiv preprint arXiv:2310.19941, 2023
12023
Bayesian Methods for Inferring Missing Data in the BATSE Catalog of Short Gamma-Ray Bursts
A Shahmoradi, JA Osborne, F Bagheri
Universe 8 (5), 267, 2022
12022
Fast automated cross-platform cross-language parallel stochastic optimization, sampling, and integration with the ParaMonte library.
A Shahmoradi, S Kumbhare, J Osborne, F Bagheri
Bulletin of the American Physical Society, 2021
1*2021
Multilevel Bayesian Reconstruction of Missing Data in GRB Catalogs
A Shahmoradi, J Osborne, R Nemiroff
American Astronomical Society Meeting Abstracts 55 (2), 252.07, 2023
2023
ParaMonte: A Cross-Language Parallel Monte Carlo and Machine Learning Library
A Shahmoradi, F Bagheri, J Osborne
APS April Meeting Abstracts 2023, Q12. 002, 2023
2023
How Statistics Explains Away the Observational Imprint of Collapsars
J Osborne, C Bryant, F Bagheri, A Shahmoradi
American Astronomical Society Meeting Abstracts 55 (2), 464.05, 2023
2023
ParaMonte: A Powerful Serial/Parallel Monte Carlo and MCMC Library for Python, MATLAB, R, Fortran, C, and C
J Osborne, P Sapkota, S Kumbhare, F Bagheri, A Shahmoradi
Bulletin of the American Physical Society 66, 2021
2021
Enhancing Traffic Flow and Driving Safety via Artificial Intelligence
A Shahmoradi, J Osborne, P Sapkota, C Bryant, N Davachi
Center for Transportation, Equity, Decisions and Dollars (CTEDD), 2021
2021
A Probabilistic Approach to Infer the Unknown Redshifts of Long-duration Gamma-Ray Bursts Observed by BATSE
J Osborne, A Shahmoradi, R Nemiroff
Bulletin of the American Physical Society 66, 2021
2021
How unbiased statistical methods lead to biased scientific discoveries: A case study in the analysis of Gamma-Ray Bursts
C Bryant, J Osborne, A Shahmoradi
Bulletin of the American Physical Society 66, 2021
2021
ParaMonte::ParaDRAM - A Parallel Adaptive Markov Chain Monte Carlo Sampler in C, C, Fortran, MATLAB, Python and R
S Kumbhare, J Osborne, F Bagheri, A Shahmoradi
Bulletin of the American Physical Society 66, 2021
2021
ParaMonte: An Efficient Serial/Parallel MCMC Library
P Sapkota, JA Osborne, S Kumbhare, F Bagheri, A Shahmoradi
2021
ParaMonte: A High-Performance Serial/Parallel Monte Carlo and MCMC Library for Python, MATLAB, R, Fortran, C++, and C
JA Osborne, S Kumbhare, F Bagheri, P Sapkota, A Shahmoradi
2021
Fast automated cross-platform cross-language parallel stochastic optimization, sampling, and integration with the ParaMonte library
A Shahmoradi, S Kumbhare, J Osborne, F Bagheri
APS March Meeting Abstracts 2021, H71. 182, 2021
2021
A Probabilistic Approach to Estimating the Unknown Redshifts of BATSE Catalog Long-duration Gamma-Ray Bursts
J Osborne, A Shahmoradi, R Nemiroff
APS April Meeting Abstracts 2021, L09. 006, 2021
2021
Quantifying the Lag-Luminosity Relationship in Gamma-Ray Bursts
J Osborne, A Shahmoradi
Bulletin of the American Physical Society 65, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–20