The MUSE Hubble Ultra Deep Field surveys: Data release II
R Bacon, J Brinchmann, S Conseil, M Maseda… - Astronomy & …, 2023 - aanda.org
We present the second data release of the MUSE Hubble Ultra-Deep Field surveys, which
includes the deepest spectroscopic survey ever performed. The MUSE data, with their 3D …
includes the deepest spectroscopic survey ever performed. The MUSE data, with their 3D …
Testing for outliers with conformal p-values
Testing for outliers with conformal p-values Page 1 The Annals of Statistics 2023, Vol. 51, No.
1, 149–178 https://doi.org/10.1214/22-AOS2244 © Institute of Mathematical Statistics, 2023 …
1, 149–178 https://doi.org/10.1214/22-AOS2244 © Institute of Mathematical Statistics, 2023 …
Selection by prediction with conformal p-values
Decision making or scientific discovery pipelines such as job hiring and drug discovery often
involve multiple stages: before any resource-intensive step, there is often an initial screening …
involve multiple stages: before any resource-intensive step, there is often an initial screening …
Adaptive novelty detection with false discovery rate guarantee
Adaptive novelty detection with false discovery rate guarantee Page 1 The Annals of Statistics
2024, Vol. 52, No. 1, 157–183 https://doi.org/10.1214/23-AOS2338 © Institute of Mathematical …
2024, Vol. 52, No. 1, 157–183 https://doi.org/10.1214/23-AOS2338 © Institute of Mathematical …
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers
This paper develops novel conformal methods to test whether a new observation was
sampled from the same distribution as a reference set. Blending inductive and transductive …
sampled from the same distribution as a reference set. Blending inductive and transductive …
[PDF][PDF] Machine learning meets false discovery rate
The aim is to detect novelties, namely Xis with Pi= P0. This task is illustrated in Figure 1 on a
classical image data set, where we want to detect hand-written digit '9's in the test sample …
classical image data set, where we want to detect hand-written digit '9's in the test sample …
Conformal link prediction to control the error rate
A Marandon - arXiv preprint arXiv:2306.14693, 2023 - arxiv.org
Most link prediction methods return estimates of the connection probability of missing edges
in a graph. Such output can be used to rank the missing edges, from most to least likely to be …
in a graph. Such output can be used to rank the missing edges, from most to least likely to be …
False discovery rate control with unknown null distribution: Is it possible to mimic the oracle?
E Roquain, N Verzelen - The Annals of Statistics, 2022 - projecteuclid.org
Classical multiple testing theory prescribes the null distribution, which is often too stringent
an assumption for nowadays large scale experiments. This paper presents theoretical …
an assumption for nowadays large scale experiments. This paper presents theoretical …
Simultaneous hypothesis testing using internal negative controls with an application to proteomics
Z Gao, Q Zhao - arXiv preprint arXiv:2303.01552, 2023 - arxiv.org
Negative control is a common technique in scientific investigations and broadly refers to the
situation where a null effect (''negative result'') is expected. Motivated by a real proteomic …
situation where a null effect (''negative result'') is expected. Motivated by a real proteomic …
False Discovery Rate Control For Structured Multiple Testing: Asymmetric Rules And Conformal Q-values
Z Zhao, W Sun - Journal of the American Statistical Association, 2024 - Taylor & Francis
The effective utilization of structural information in data while ensuring statistical validity
poses a significant challenge in false discovery rate (FDR) analyses. Conformal inference …
poses a significant challenge in false discovery rate (FDR) analyses. Conformal inference …