Within-field variability in nutrients for site-specific agricultural management in irrigated cornfield
This work underlines how spatial variability in nutrients causes spatial variability in plant growth and crop yield across cornfields, …
Evidence of antagonistic predictive effects of miRNAs in breast cancer cohorts through data-driven networks
This work attempts to explain some contradictory results that have been found regarding the oncogenic or protective roles of miRNAs in …
Perturbed M-Estimation, A Further Investigation of Robust Statistics for Differential Privacy
This work highlights the links between statistical robustness and differential privacy, investigating a new method to protect data …
Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration
Sensor calibration is usually performed only on one error signal although calibration sessions often collect repeated samples. This …
Non applicability of validated predictive models for intensive care admission and death of COVID-19 patients in a secondary care hospital in Belgium
This study highlights how a highly-promoted predictive-score for admitting patients to intensive care is not applicable in Belgium …
Influence of Community-Led Total Sanitation and Water Coverages in the Control of Cholera in Madarounfa, Niger (2018)
Using a negative binomial hurdle model we provide evidence supporting the promotion of Community-Led Total Sanitation and Water …
Granger-causal testing for irregularly sampled time series with application to nitrogen signalling in Arabidopsis
This work puts forward an approach to test causal links between irregularly sampled signals with applications to nitrogen signalling …
Robust Two-Step Wavelet-Based Inference for Time Series Models
In this work we put forward a computationally efficient statistical procedure to estimate a wide range of time series models in a …
Data of the Defense and the Defense of Data
An easy-to-read article highlighting the need and availability of solutions allowing the DoD to share more unclassified data with low …
Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration
This work compares current moment-matching techniques used to calibrate inertial sensors and identifies the optimal technique from a …
Using Survival Analysis to Predict Workers' Compensation Termination
This work studies the Californian worker’s compensation termination schemes and shows that the current schemes are inadequate and …
Multivariate Signal Modeling With Applications to Inertial Sensor Calibration
Low-cost inertial sensors are increasingly being used jointly in order to improve their navigation performance and this work provides a …
A Multisignal Wavelet Variance-Based Framework for Inertial Sensor Stochastic Error Modeling
This work combines the information from multiple signals to improve the estimation of stochastic model estimation for sensor …
