Results 21 to 30 of about 6,487,763 (293)
Risks, 2023 Stochastic mortality models seek to forecast future mortality rates; thus, it is apparent that the objective variable should be the mortality rate expressed in the original scale. However, the performance of stochastic mortality models—in terms, that is,
Miguel Santolino
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Computational Nosology and Precision Psychiatry [PDF]
Computational Psychiatry, 2017 This article provides an illustrative treatment of psychiatric morbidity that offers an alternative to the standard nosological model in psychiatry. It considers what would happen if we treated diagnostic categories not as causes of signs and symptoms ...
Karl J. Friston +2 more
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A model of selective migration [PDF]
Heredity, 1974 Individuals migrating between populations are normally assumed to be drawn at random from their base populations; migration is then a strong unifying force between the populations. Phenotypic assortment of migrants could however cause populations to diverge. A model is formulated to describe the effects of such selective migration on a metric character,
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Models for chronology selection [PDF]
Physical Review D, 1998 20 pages ...
Cassidy, M. J., Hawking, S. W.
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Frontiers in Veterinary Science, 2017 Antimicrobial resistance in livestock is a matter of general concern. To develop hygiene measures and methods for resistance prevention and control, epidemiological studies on a population level are needed to detect factors associated with antimicrobial ...
Anke Hüls +8 more
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Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval
Remote Sensing, 2018 Ocean Color remote sensing has a great importance in monitoring of aquatic environments. The number of optical imaging sensors onboard satellites has been increasing in the past decades, allowing to retrieve information about various water quality ...
Katalin Blix, Torbjørn Eltoft
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Source Model Selection for Deep Learning in the Time Series Domain
IEEE Access, 2020 Transfer Learning aims to transfer knowledge from a source task to a target task. We focus on a situation when there is a large number of available source models, and we are interested in choosing a single source model that can maximize the predictive ...
Amiel Meiseles, Lior Rokach
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Optimal predictive model selection
, 2004 Often the goal of model selection is to choose a model for future prediction, and it is natural to measure the accuracy of a future prediction by squared error loss.
Barbieri, Maria Maddalena +1 more
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COSMOLOGICAL MODEL SELECTION [PDF]
International Journal of Modern Physics A, 2008 We give an overview of the recent progress in the field of cosmological model selection. Model selection statistics, such as those based on information theory and on Bayesian statistics are introduced and discussed. In the Bayesian framework, the marginalised model likelihood, or evidence, is the primary model selection statistic.
Mukherjee, Pia, Parkinson, David
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Communications, 2018 In this paper, we consider the robust adaptive non parametric estimation problem for the periodic function observed with the Levy noises in continuous time.
Evgeny Pchelintsev +2 more
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