Authors: Gerald Hechenblaikner
arXiv
An analytical model is derived for the probability of failure (P-fail) to spatially acquire an optical link with a jittering search beam. The analytical model accounts for an arbitrary jitter spectrum...
Authors: Edossa Merga Terefe
arXiv
Vehicle insurance claims size prediction needs methods to efficiently handle these claims. Machine learning (ML) is one of the methods that solve this problem. Tree-based ensemble learning algorithms...
Authors: Sebastian Michelmann, Manoj Kumar, Kenneth A. Norman, Mariya Toneva
arXiv
Humans perceive discrete events such as "restaurant visits" and "train rides" in their continuous experience. One important prerequisite for studying human event perception is the ability of researche...
Authors: Kai Tian, Gustav Markkula, Chongfeng Wei, Yee Mun Lee, Ruth Madigan, Toshiya Hirose, Natasha Merat, Richard Romano
arXiv
As safe and comfortable interactions with pedestrians could contribute to automated vehicles' (AVs) social acceptance and scale, increasing attention has been drawn to computational pedestrian behavio...
Authors: Anh Tran, Pieterjan Robbe, Tim Wildey, David Montes de Oca Zapiain, Hojun Lim
arXiv
Uncertainty quantification (UQ) plays a critical role in verifying and validating forward integrated computational materials engineering (ICME) models. Among numerous ICME models, the crystal plastici...
Authors: Lorenzo Tedesco, Ingrid Van Keilegom
arXiv
This paper proposes a new test for the comparison of conditional quantile curves when the outcome of interest, typically a duration, is subject to right censoring. The test can be applied both in the...
Authors: Yilun Li, Fang Huang
arXiv
First discovered by Ernest Abbe in 1873, the resolution limit of a far-field microscope is considered determined by the numerical aperture and wavelength of light, approximately $λ$/2NA. With the adve...
Authors: Bryan M. Li, Isabel M. Cornacchia, Nathalie L. Rochefort, Arno Onken
arXiv
Accurate predictive models of the visual cortex neural response to natural visual stimuli remain a challenge in computational neuroscience. In this work, we introduce V1T, a novel Vision Transformer b...
Authors: Toshiya Yoshida, Trinity Shuxian Fan, Tyler McCormick, Zhenke Wu, Zehang Richard Li
arXiv
Only about one-third of the deaths worldwide are assigned a medically-certified cause, and understanding the causes of deaths occurring outside of medical facilities is logistically and financially ch...
Authors: Kelton Minor, Esteban Moro, Nick Obradovich
arXiv
Humanity spends an increasing proportion of its time interacting online. Scholars are intensively investigating the societal drivers and resultant impacts of this collective shift in our allocation of...
Authors: Guillaume Lambert, Bachir Hamrouche, Joseph de Vilmarest
arXiv
We focus on day-ahead electricity load forecasting of substations of the distribution network in France; therefore, our problem lies between the instability of a single consumption and the stability o...
Authors: Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen
arXiv
Recent work on algorithmic fairness has largely focused on the fairness of discrete decisions, or classifications. While such decisions are often based on risk score models, the fairness of the risk m...
Authors: Rahul Ghosal, Marcos Matabuena, Jiajia Zhang
arXiv
We develop a functional proportional hazards mixture cure (FPHMC) model with scalar and functional covariates measured at the baseline. The mixture cure model, useful in studying populations with a cu...
Authors: Ivano Azzini, Domenico Perrotta, Francesca Torti
arXiv
Many statistical problems and applications require repeated computation of order statistics, such as the median, but most statistical and programming environments do not offer in their main distributi...
Authors: Gwendolyn M. Eadie, Joshua S. Speagle, Jessi Cisewski-Kehe, Daniel Foreman-Mackey, Daniela Huppenkothen, David E. Jones, Aaron Springford, Hyungsuk Tak
arXiv
In the last two decades, Bayesian inference has become commonplace in astronomy. At the same time, the choice of algorithms, terminology, notation, and interpretation of Bayesian inference varies from...