Results 31 to 40 of about 331,520 (189)
Pruning and Nonparametric Multiple Change Point Detection
, 2017 Change point analysis is a statistical tool to identify homogeneity within time series data. We propose a pruning approach for approximate nonparametric estimation of multiple change points.
James, Nicholas +2 more
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Proceedings of the International Florida Artificial Intelligence Research Society ConferenceWe present a nonparametric statistical test for determining whether an agent is following a given mixed strategy in a repeated strategic-form game given samples of the agent's play.
Sam Ganzfried
doaj +1 more source
Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping
Frontiers in Neuroscience, 2014 Although ultra-high-field fMRI at field strengths of 7T or above provides substantial gains in BOLD contrast-to-noise ratio, when very high-resolution fMRI is required such gains are inevitably reduced.
Johannes eStelzer +8 more
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BMC Bioinformatics, 2017 Background Probabilistic assessments of clinical care are essential for quality care. Yet, machine learning, which supports this care process has been limited to categorical results.
Brian Connolly +4 more
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Barekeng, 2023 Researchers use the nonparametric regression method because it provides excellent flexibility in the modeling process. Nonparametric regression procedures can be used if the relationship pattern between the predictor and response variables is unknown ...
Anggi Putri Anisar +2 more
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Rates of contraction for posterior distributions in $\bolds{L^r}$-metrics, $\bolds{1\le r\le\infty}$
, 2011 The frequentist behavior of nonparametric Bayes estimates, more specifically, rates of contraction of the posterior distributions to shrinking $L^r$-norm neighborhoods, $1\le r\le\infty$, of the unknown parameter, are studied. A theorem for nonparametric
Giné, Evarist, Nickl, Richard
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Fundamentals of Nonparametric Statistical Tests for Dental Clinical Research
Dentistry JournalThis article provides the foundation for employing nonparametric testing in dental clinical research. To make wise judgments in their research, investigators should learn more about the main nonparametric tests and their particular uses.
Arturo Garrocho-Rangel +5 more
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Bias of the Entropy Estimator for Symmetric Bernoulli Measures and the Weak Metric
Моделирование и анализ информационных систем, 2015 We consider symmetric Bernoulli measures and new weak metrics and obtain a closed-form expression of the entropy estimator bias.
N. E. Timofeeva
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Identifying Factors Influencing the Corrosion Rate of Steel Using Nonparametric Statistics
International Journal of Electrochemical Science, 2012 Statistical techniques have made it possible to describe the behavior of certain phenomena. Nonetheless, given the difficulty in obtaining adequate data, it is common not to have random and homogeneous samples in order to conduct parametric statistical ...
D. Nieves-Mendoza +7 more
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Functional single index models for longitudinal data
, 2011 A new single-index model that reflects the time-dynamic effects of the single index is proposed for longitudinal and functional response data, possibly measured with errors, for both longitudinal and time-invariant covariates.
Jiang, Ci-Ren, Wang, Jane-Ling
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