Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
Abstract Machine learning (ML) and artificial intelligence (AI) algorithms have the potential to
derive insights from clinical data and improve patient outcomes. However, these highly …
derive insights from clinical data and improve patient outcomes. However, these highly …
Testing exchangeability: Fork-convexity, supermartingales and e-processes
Suppose we observe an infinite series of coin flips X 1, X 2,…, and wish to sequentially test
the null that these binary random variables are exchangeable. Nonnegative …
the null that these binary random variables are exchangeable. Nonnegative …
E-detectors: a nonparametric framework for sequential change detection
Sequential change detection is a classical problem with a variety of applications. However,
the majority of prior work has been parametric, for example, focusing on exponential …
the majority of prior work has been parametric, for example, focusing on exponential …
Research on BP Neural Network Prediction of Financial Transformation and Upgrading Potential of Enterprises in the Digital and Intelligent Era
Z Jingnan - International Journal of High Speed Electronics and …, 2024 - World Scientific
In order to reduce the operational risks of enterprises and help enterprises improve their
core competitiveness, this paper studies the BP neural network prediction method for the …
core competitiveness, this paper studies the BP neural network prediction method for the …
AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents
T Mathieu, MM Centa, R Della Vecchia… - … on Machine Learning … - openreview.net
Recently, the scientific community has questioned the statistical reproducibility of many
empirical results, especially in the field of machine learning. To contribute to the resolution of …
empirical results, especially in the field of machine learning. To contribute to the resolution of …
p-value peeking and estimating extrema
A Balsubramani - arXiv preprint arXiv:2011.01343, 2020 - arxiv.org
A pervasive issue in statistical hypothesis testing is that the reported $ p $-values are biased
downward by data" peeking"--the practice of reporting only progressively extreme values of …
downward by data" peeking"--the practice of reporting only progressively extreme values of …