False discovery rate control via data splitting
Selecting relevant features associated with a given response variable is an important
problem in many scientific fields. Quantifying quality and uncertainty of a selection result via …
problem in many scientific fields. Quantifying quality and uncertainty of a selection result via …
Assessment of NO3-As, and F-Background Levels in Groundwater Bodies: A Methodological Review and Case Study Utilizing Sequential Gaussian simulation (SGS)
G Busico, B Mojgan, R Francesco, S Antonio… - Groundwater for …, 2024 - Elsevier
The aim of this study is to systematically review prior research on methodologies employed
for assessing the NBLs in groundwater. These methods include statistical and probability …
for assessing the NBLs in groundwater. These methods include statistical and probability …
Estimation of the false discovery proportion with unknown dependence
J Fan, X Han - Journal of the Royal Statistical Society Series B …, 2017 - academic.oup.com
Large-scale multiple testing with correlated test statistics arises frequently in much scientific
research. Incorporating correlation information in approximating the false discovery …
research. Incorporating correlation information in approximating the false discovery …
Learning-based SMPC for reference tracking under state-dependent uncertainty: An application to atmospheric pressure plasma jets for plasma medicine
AD Bonzanini, DB Graves… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The increasing complexity of modern technical systems can exacerbate model uncertainty in
model-based control, posing a great challenge to safe and effective system operation under …
model-based control, posing a great challenge to safe and effective system operation under …
The asymptotic distribution of the MLE in high-dimensional logistic models: Arbitrary covariance
The asymptotic distribution of the MLE in high-dimensional logistic models: Arbitrary covariance
Page 1 Bernoulli 28(3), 2022, 1835–1861 https://doi.org/10.3150/21-BEJ1401 The asymptotic …
Page 1 Bernoulli 28(3), 2022, 1835–1861 https://doi.org/10.3150/21-BEJ1401 The asymptotic …
Simultaneous control of all false discovery proportions in large-scale multiple hypothesis testing
Closed testing procedures are classically used for familywise error rate control, but they can
also be used to obtain simultaneous confidence bounds for the false discovery proportion in …
also be used to obtain simultaneous confidence bounds for the false discovery proportion in …
Semi-supervised multiple testing
D Mary, E Roquain - Electronic Journal of Statistics, 2022 - projecteuclid.org
An important limitation of standard multiple testing procedures is that the null distribution
should be known. Here, we consider a null distribution-free approach for multiple testing in …
should be known. Here, we consider a null distribution-free approach for multiple testing in …
Save hydrological observations! Return period estimation without data decimation
The concept of return period and its estimation are pivotal in risk management for many
geophysical applications. Return period is usually estimated by inferring a probability …
geophysical applications. Return period is usually estimated by inferring a probability …
A scale-free approach for false discovery rate control in generalized linear models
ABSTRACT The Generalized Linear Model (GLM) has been widely used in practice to
model counts or other types of non-Gaussian data. This article introduces a framework for …
model counts or other types of non-Gaussian data. This article introduces a framework for …
A constraint-tightening approach to nonlinear model predictive control with chance constraints for stochastic systems
TLM Santos, AD Bonzanini… - 2019 American …, 2019 - ieeexplore.ieee.org
This paper presents a nonlinear model predictive control (NMPC) strategy for stochastic
systems subject to chance constraints. The notion of stochastic tubes is extended to …
systems subject to chance constraints. The notion of stochastic tubes is extended to …