From the 4 of 131 papers with an AI index.
96 citations
- Institute of AstronomyRU20 papers
- Université Paris-SaclayFR17 papers
- Centre National de la Recherche ScientifiqueFR16 papers
- Université Paris CitéFR15 papers
- University of AmsterdamNL13 papers
- Astronomical Institute of the Slovak Academy of SciencesSK11 papers
- Queen Mary University of LondonGB11 papers
- Sorbonne UniversitéFR11 papers
- University of Maryland, College ParkUS11 papers
- California Institute of TechnologyUS10 papers
- Massachusetts Institute of TechnologyUS10 papers
- The University of TokyoJP10 papers
5 papers · 1 filter
Data-Driven Logistic Regression Ensembles With Applications in Genomics
Anthony-Alexander Christidis, Stefan Van Aelst, Ruben Zamar
Advances in data collecting technologies in genomics have significantly increased the need for tools designed to study the genetic basis of many diseases. Effective statistical met…
Adaptive and robust experimental design for linear dynamical models using Kalman filter
Arno Strouwen, Bart M. Nicolaï, Peter Goos
Current experimental design techniques for dynamical systems often only incorporate measurement noise, while dynamical systems also involve process noise. To construct experimental…
A Note on the Output of a Coordinate-Exchange Algorithm for Optimal Experimental Design
Arno Strouwen, Peter Goos
The coordinate-exchange algorithm is commonly used to construct optimal experimental designs. Every execution of the coordinate-exchange algorithm produces a new, seemingly random,…
Distributed lag non-linear models with spatial effect modification using Laplacian P-splines
Sara Rutten, Thomas Neyens, Elisa Duarte +2
Distributed lag non-linear models (DLNMs) are a popular approach to flexibly model the effect of time-delayed exposures. Classical DLNMs specify a common exposure-lag-response rela…
Addressing outliers in mixed-effects logistic regression: a more robust modeling approach
Divan A. Burger, Sean van der Merwe, Emmanuel Lesaffre
This study introduces an outlier-robust model for analyzing hierarchically structured bounded count data within a Bayesian framework, utilizing a logistic regression approach imple…