On inference of quantization from gravitationally induced entanglement [PDF]
AVS Quantum Science, 2022 Observable signatures of the quantum nature of gravity at low energies have recently emerged as a promising new research field. One prominent avenue is to test for gravitationally induced entanglement between two mesoscopic masses prepared in spatial ...
Vasileios Fragkos, M. Kopp, I. Pikovski
semanticscholar +1 more source
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query [PDF]
Neural Information Processing Systems, 2022 We propose a sparse end-to-end multi-person pose regression framework, termed QueryPose, which can directly predict multi-person keypoint sequences from the input image.
Yabo Xiao +6 more
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Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data [PDF]
Computational Statistics & Data Analysis, 2019 Generalized Gaussian processes (GGPs) are highly flexible models that combine latent GPs with potentially non-Gaussian likelihoods from the exponential family.
Daniel Zilber, M. Katzfuss
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Fibre-generated point processes and fields of orientations [PDF]
, 2012 This paper introduces a new approach to analyzing spatial point data clustered along or around a system of curves or "fibres." Such data arise in catalogues of galaxy locations, recorded locations of earthquakes, aerial images of minefields and pore ...
Hill, Bryony J. +2 more
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Traditional kriging versus modern Gaussian processes for large‐scale mining data [PDF]
Statistical analysis and data mining, 2022 The canonical technique for nonlinear modeling of spatial/point‐referenced data is known as kriging in geostatistics, and as Gaussian Process (GP) regression for surrogate modeling and statistical learning.
R. Christianson, R. Pollyea, R. Gramacy
semanticscholar +1 more source
Spectrum inference for replicated spatial locally time-harmonizable time series
, 2023 International audienceIn this paper we develop tools for statistical inference on replicated realizations of spatiotemporal processes that are locally time-harmonizable.
Anna E. Dudek +18 more
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Faà di Bruno’s formula and spatial cluster modelling [PDF]
, 2013 The probability generating functional (p.g.fl.) provides a useful means of compactly representing point process models. Cluster processes can be described through the composition of p.g.fl.s, and factorial moment measures and Janossy measures can be ...
Clark, Daniel E., Houssineau, Jeremie
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Getting one step closer to deduction: Introducing an alternative paradigm for transitive inference [PDF]
, 2008 This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2008 Psychology Press.Transitive inference is claimed to be “deductive”. Yet every group/species ever reported apparently uses it.
Wright, BC, Howells, D
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Self‐exciting point processes with spatial covariates: modelling the dynamics of crime [PDF]
, 2017 Crime has both varying patterns in space, related to features of the environment, economy and policing, and patterns in time arising from criminal behaviour, such as retaliation. Serious crimes may also be presaged by minor crimes of disorder.
Alex Reinhart, J. Greenhouse
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Factors controlling the regeneration process in unevenly aged silver fir forests: inferences from the spatial pattern of trees [PDF]
Journal of Forest Science, 2006 The main objective of this study was to prove the relationship between the spatial pattern of trees and distribution of advanced regeneration in structured Abies alba Mill. forests in the Western Carpathians (of southern Poland). In 13 sample plots (0.45-1.00 ha in size), the locations of all live trees above 15 cm in d1.3 and all stumps of canopy ...
openaire +2 more sources