Fast automatic Bayesian cubature using lattice sampling R Jagadeeswaran, FJ Hickernell Statistics and Computing 29 (6), 1215-1229, 2019 | 37 | 2019 |
QMCPy: A Quasi-Monte Carlo Python Library; 2021 SCT Choi, FJ Hickernell, R Jagadeeswaran, M McCourt, A Sorokin URL: https://github. com/QMCSoftware/QMCSoftware. DOI: https://doi. org/10 …, 0 | 18* | |
Quasi-monte carlo software SCT Choi, FJ Hickernell, R Jagadeeswaran, MJ McCourt, AG Sorokin International Conference on Monte Carlo and Quasi-Monte Carlo Methods in …, 2020 | 10 | 2020 |
Video content analysis system and method for transportation system LB Jordan, SV Patel, JA Mueller, J Rathinavel, R Martinez US Patent 10,392,038, 2019 | 10 | 2019 |
GAIL: Guaranteed Automatic Integration Library (versions 1.0–2.3. 2). MATLAB software SCT Choi, Y Ding, FJ Hickernell, L Jiang, LA Jiménez Rugama, D Li, ... | 6 | 2021 |
Fast automatic Bayesian cubature using matching kernels and designs J Rathinavel Illinois Institute of Technology, 2019 | 5 | 2019 |
Fast automatic bayesian cubature using sobol’sampling R Jagadeeswaran, FJ Hickernell Advances in Modeling and Simulation: Festschrift for Pierre L'Ecuyer, 301-318, 2022 | 4 | 2022 |
GAIL: Guaranteed Automatic Integration Library (versions 1.0–2.2). MATLAB software (2013–2017) SCT Choi, Y Ding, FJ Hickernell, L Jiang, LA Jiménez Rugama, D Li, ... | 3 | 2021 |
GAIL: Guaranteed Automatic Integration Library (Version 2.3. 1)[MATLAB Software], 2020 SCT Choi, Y Ding, FJ Hickernell, L Jiang, LAJ Rugama, D Li, J Rathinavel, ... | 3 | |
Guaranteed Automatic Integration Library (GAIL): An Open-Source MATLAB Library for Function Approximation, Optimization, and Integration X Tong, SCT Choi, Y Ding, FJ Hickernell, L Jiang, LAJ Rugama, ... Journal of Open Research Software 10 (1), 2022 | 1 | 2022 |
Fast Automatic Bayesian Cubature Using Matching Kenrels and Designs R Jagadeeswaran PhD thesis. Illinois Institute of Technology, 2019 | 1 | 2019 |
On Bounding and Approximating Functions of Multiple Expectations using Quasi-Monte Carlo AG Sorokin, J Rathinavel arXiv preprint arXiv:2311.07555, 2023 | | 2023 |
Challenges in Developing Great Quasi-Monte Carlo Software SCT Choi, Y Ding, FJ Hickernell, J Rathinavel, AG Sorokin arXiv preprint arXiv:2311.06162, 2023 | | 2023 |
Automated signal compliance monitoring and alerting system LB Jordan, B Schabell, B Weaver, P Ganesan, R Martinez, J Rathinavel, ... US Patent 11,731,672, 2023 | | 2023 |
Monte Carlo and Quasi-Monte Carlo Methods: MCQMC 2020, Oxford, United Kingdom, August 10–14 A Keller Springer Nature, 2022 | | 2022 |
Probabilistic Numerical Methods-From Theory to Implementation (Dagstuhl Seminar 21432) P Hennig, ICF Ipsen, M Mahsereci, T Sullivan Schloss-Dagstuhl-Leibniz Zentrum für Informatik, 2022 | | 2022 |
(Quasi-) Monte Carlo Improtance Sampling with QMCPY AG Sorokin, FJ Hickernell, SCT Choi, MJ McCourt, J Rathinavel Illinois Tech Undergraduate Research Journal 1 (1), 6-6, 2021 | | 2021 |
Learned from a Data Analysis Competition”.... Susan Gruber and Mark J. van der Laan 82 Comment: Causal Inference Competitions: Where Should We Aim … CJ Oates, M Girolami, MA Osborne, D Sejdinovic, FJ Hickernell, ... Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)] 34 (1), 2019 | | 2019 |
Comment on" Probabilistic Integration FJ Hickernell, R Jagadeeswaran Statistical Science 34 (1), 23-28, 2019 | | 2019 |
pypi i qmcpy Save F Hickernell, SCT Choi, M McCourt, J Rathinavel, A Sorokin | | |