Results 11 to 20 of about 78 (71)
Review of Policy Research, Volume 40, Issue 5, Page 626-645, September 2023., 2023 Abstract In their efforts to digitize public service delivery, countries increasingly use algorithms based on mathematical models, data and/or a combination of different administrative datasets to issue decisions, but recent studies point towards challenges around citizens' understanding, accessing, and filing objections to such automated decisions ...
Sarah Giest, Annemarie Samuels
wiley +1 more source
Methods in Ecology and Evolution, Volume 14, Issue 8, Page 1952-1966, August 2023., 2023 Abstract Earth's biosphere is undergoing drastic reorganization due to the sixth mass extinction brought on by the Anthropocene. Impacts of local and regional extirpation of species have been demonstrated to propagate through the complex interaction networks they are part of, leading to secondary extinctions and exacerbating biodiversity loss ...
M. Isidora Ávila‐Thieme +6 more
wiley +1 more source
Global‐Krigger: A Global Kriging Interpolation Toolbox With Paleoclimatology Examples
Geochemistry, Geophysics, Geosystems, Volume 24, Issue 6, June 2023., 2023 Abstract Many applications in Earth sciences require spatial prediction, that is, obtaining a continuous scalar field from a set of discrete scalar data points on the Earth's surface. Such applications include model‐data comparisons and derivation of continuous scalar fields as input for Earth system models. The advantage of kriging as an interpolation
N. J. Cosentino +4 more
wiley +1 more source
Computer Applications in Engineering Education, Volume 31, Issue 3, Page 676-695, May 2023., 2023 Abstract In recent years, the way in which mathematics is taught has changed radically and there has been an increase in the percentage of online classes. One of the biggest challenges that teachers face in this type of online scenario is the need to motivate students so that they do not lose the thread and continue with their usual rhythm and seek ...
Ángel Alberto Magreñán +3 more
wiley +1 more source
Computing f‐divergences and distances of high‐dimensional probability density functions
Numerical Linear Algebra with Applications, Volume 30, Issue 3, May 2023., 2023 Abstract Very often, in the course of uncertainty quantification tasks or data analysis, one has to deal with high‐dimensional random variables. Here the interest is mainly to compute characterizations like the entropy, the Kullback–Leibler divergence, more general f$$ f $$‐divergences, or other such characteristics based on the probability density ...
Alexander Litvinenko +4 more
wiley +1 more source
Journal of Probability and Statistics, Volume 2023, Issue 1, 2023., 2023 In the context of a sample survey, the collection of information on a sensitive variable is difficult, which may cause nonresponse and measurement errors. Due to this, the estimates can be biased and the variation may increase. To overcome this difficulty, we propose an estimator for the estimation of a sensitive variable by using auxiliary information
Monica Choudhary +5 more
wiley +1 more source
A framework for quantifying soundscape diversity using Hill numbers
Methods in Ecology and Evolution, Volume 13, Issue 10, Page 2262-2274, October 2022., 2022 Abstract Soundscape studies are increasingly used to capture landscape‐scale ecological patterns. Yet, several aspects of soundscape diversity remain unexplored. Although some processes influencing acoustic niche usage may operate in the 24‐hr temporal domain, most acoustic indices only capture the diversity of sounds co‐occurring in sound files at a ...
Thomas Luypaert +6 more
wiley +1 more source
Methods in Ecology and Evolution, Volume 13, Issue 2, Page 447-458, February 2022., 2022 Abstract Acceleration‐based proxies for activity and energy expenditure are widely used in bio‐logging studies of animal movement and locomotion to explore biomechanical strategies, energetic costs of behaviour, habitat use and the impact of anthropogenic disturbance.
Lucía Martina Martín López +3 more
wiley +1 more source
Discrete Dynamics in Nature and Society, Volume 2022, Issue 1, 2022., 2022 This paper designs and implements a methodology to model the evolution of the COVID‐19 pandemic, produced by the SARS‐CoV‐2 virus, in what was called the first wave in Chile, which lasted from March 2 to 31 October 2020. The models are based on sigmoidal growth curves and can be used to predict the number of daily infections and deaths in future days ...
Francisco Novoa-Muñoz, A. E. Matouk
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Journal of Environmental and Public Health, Volume 2022, Issue 1, 2022., 2022 The identification and tracking of SARS‐CoV‐2 infected patients in the general population are essential components of the global strategy to limit the COVID‐19 viral spread, specifically for maintaining traceability and suppressing the resurgence of local outbreaks.
Claudio Acuña-Castillo +21 more
wiley +1 more source