2 papers
stat.ME2021
Scalable Statistical Inference of Photometric Redshift via Data Subsampling
Arindam Fadikar, Stefan M. Wild, Jonas Chaves-Montero
Handling big data has largely been a major bottleneck in traditional statistical models. Consequently, when accurate point prediction is the primary target, machine learning models…
stat.ME2020
Analyzing Stochastic Computer Models: A Review with Opportunities
Evan Baker, Pierre Barbillon, Arindam Fadikar +10
In modern science, computer models are often used to understand complex phenomena, and a thriving statistical community has grown around analyzing them. This review aims to bring a…