Zobrazeno 1 - 5
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pro vyhledávání: '"Medha Agarwal"'
Autor:
Medha Agarwal, Dootika Vats
Publikováno v:
Journal of Computational and Graphical Statistics. 31:629-638
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d15738e9abefa8da1f135ae867dee5e
https://doi.org/10.1080/10618600.2022.2037433
https://doi.org/10.1080/10618600.2022.2037433
Importance sampling (IS) is a Monte Carlo technique that relies on weighted samples, simulated from a proposal distribution, to estimate intractable integrals. The quality of the estimators improves with the number of samples. However, for achieving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcb52068be750fca70b947302a6dcbb4
http://arxiv.org/abs/2108.13289
http://arxiv.org/abs/2108.13289
Autor:
Jain, Akash, Kumar, Manish, Rithvik Patibandla, Chandra, Naveen, Abhinav Arora, Singh, Akash K, Varun Pawar, Rai, Aditya, Medha Agarwal, Priank Prasad, Vandit Sanadhya, Prateek Yadav, Inshu Namdev, Shah, Nilay, Saksham Mittal, Ayush Gupta, Naman Agarwal, Kothari, Mangal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2f9a9fe5a00b36c2d77e9ff92544bcd
Publikováno v:
Chest. 138:559A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::784509fd028c788a11e1bad23c2ba1fe
https://doi.org/10.1378/chest.10775
https://doi.org/10.1378/chest.10775