Classical Statistics and Statistical Learning in Imaging Neuroscience [PDF]
Frontiers in Neuroscience, 2017 Brain-imaging research has predominantly generated insight by means of classical statistics, including regression-type analyses and null-hypothesis testing using t-test and ANOVA.
Danilo Bzdok, Danilo Bzdok, Danilo Bzdok
doaj +9 more sources
An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning. [PDF]
Neurosurgery, 2020 BACKGROUND Although survival statistics in patients with glioblastoma multiforme (GBM) are well-defined at the group level, predicting individual patient survival remains challenging because of significant variation within strata.
Senders JT +9 more
europepmc +2 more sources
Graviton particle statistics and coherent states from classical scattering amplitudes [PDF]
Journal of High Energy Physics, 2022 In the two-body scattering problem in general relativity, we study the final graviton particle distribution using a perturbative approach. We compute the mean, the variance and the factorial moments of the distribution from the expectation value of the ...
Ruth Britto, Riccardo Gonzo, Guy R. Jehu
doaj +2 more sources
Quantum particles from classical statistics [PDF]
, 2010 Quantum particles and classical particles are described in a common setting of classical statistical physics. The property of a particle being "classical" or "quantum" ceases to be a basic conceptual difference.
Aarts +33 more
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Geometrical Statistics--Classical and Quantum [PDF]
AIP Conference Proceedings, 2005 This is a review of the ideas behind the Fisher--Rao metric on classical probability distributions, and how they generalize to metrics on density matrices.
Bengtsson, Ingemar
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Classical Statistics Inherent in a Quantum Density Matrix [PDF]
, 2005 A density matrix formulation of classical bipartite correlations is constructed. This leads to an understanding of the appearance of classical statistical correlations intertwined with the quantum correlations as well as a physical underpinning of these ...
A. Rajagopal +4 more
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Worm Algorithm for Problems of Quantum and Classical Statistics [PDF]
, 2010 This is a chapter of the multi-author book "Understanding Quantum Phase Transitions," edited by Lincoln Carr and published by Taylor and Francis.
Prokof'ev, N., Svistunov, B.
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Quantum correlations in classical statistics [PDF]
, 2002 Quantum correlations can be naturally formulated in a classical statistical system of infinitely many degrees of freedom. This realizes the underlying non-commutative structure in a classical statistical setting.
Wetterich, C.
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Characterization of anomalous diffusion classical statistics powered by deep learning (CONDOR) [PDF]
Journal of Physics A: Mathematical and Theoretical, 2021 Diffusion processes are important in several physical, chemical, biological and human phenomena. Examples include molecular encounters in reactions, cellular signalling, the foraging of animals, the spread of diseases, as well as trends in financial ...
A. Gentili, G. Volpe
semanticscholar +1 more source
Likelihood-free frequentist inference: bridging classical statistics and machine learning for reliable simulator-based inference [PDF]
Electronic Journal of Statistics, 2021 Many areas of science rely on simulators that implicitly encode intractable likelihood functions of complex systems. Classical statistical methods are poorly suited for these so-called likelihood-free inference (LFI) settings, especially outside ...
Niccolò Dalmasso +4 more
semanticscholar +1 more source