Results 1 to 10 of about 2,119,342 (165)
Are v1 simple cells optimized for visual occlusions? A comparative study. [PDF]
PLoS Computational Biology, 2013 Simple cells in primary visual cortex were famously found to respond to low-level image components such as edges. Sparse coding and independent component analysis (ICA) emerged as the standard computational models for simple cell coding because they ...
Jörg Bornschein +2 more
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Linear Langevin-Based Models Providing Predictive Descriptive Statistics for Postural Sway
IEEE Access, 2021 Elderly and disabled people frequently experience falls that may require early assessment and training. The quiet standing test provides descriptive statistics such as the center of pressure (COP) sway data, which can be used to analyze the decline in ...
Yuta Tawaki +2 more
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Bambi: A Simple Interface for Fitting Bayesian Linear Models in Python
Journal of Statistical Software, 2022 The popularity of Bayesian statistical methods has increased dramatically in recent years across many research areas and industrial applications. This is the result of a variety of methodological advances with faster and cheaper hardware as well as the ...
Tomás Capretto +5 more
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Frontiers in Genetics, 2021 While the promise of electronic medical record and biobank data is large, major questions remain about patient privacy, computational hurdles, and data access.
Jack M. Wolf +3 more
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Entropy, 2022 Minimum Renyi’s pseudodistance estimators (MRPEs) enjoy good robustness properties without a significant loss of efficiency in general statistical models, and, in particular, for linear regression models (LRMs). In this line, Castilla et al.
María Jaenada, Leandro Pardo
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On the Upper Bounds of Test Statistics for a Single Outlier Test in Linear Regression Models
Journal of Applied Mathematics, 2021 A bewildering large number of test statistics have been found for testing the presence of an outlier in multiple linear regression models. Exact critical values of these test statistics are not available, and approximate ones are usually obtained by the ...
Tobias Ejiofor Ugah +5 more
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Multiple-cluster detection test for purely temporal disease clustering: Integration of scan statistics and generalized linear models. [PDF]
PLoS ONE, 2018 The spatial scan statistic is commonly used to detect spatial and/or temporal disease clusters in epidemiological studies. Although multiple clusters in the study space can be thus identified, current theoretical developments are mainly based on ...
Kunihiko Takahashi, Hideyasu Shimadzu
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Software for Bayesian Statistics
Journal of Statistical Software, 2021 In this summary we introduce the papers published in the special issue on Bayesian statistics. This special issue comprises 20 papers on Bayesian statistics and Bayesian inference on different topics such as general packages for hierarchical linear model
Michela Cameletti, Virgilio Gómez-Rubio
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Reviewing Explanatory Methodologies of Electricity Markets: An Application to the Iberian Market
Energies, 2022 In this paper, for the data set of the Iberian Electricity Market for the period 1 January 2015 to 30 June 2019, 19 different models are considered from econometrics, statistics, and artificial intelligence to explain how electricity markets work.
Renato Fernandes, Isabel Soares
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Frontiers in Systems Neuroscience, 2020 Single neurons can dynamically change the gain of their spiking responses to take into account shifts in stimulus variance. Moreover, gain adaptation can occur across multiple timescales.
Kenneth W. Latimer, Adrienne L. Fairhall
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