Results 51 to 60 of about 3,276,976 (263)
Frontiers in Neuroscience, 2016 Large efforts are currently under way to systematically map functional connectivity between all pairs of millimeter-scale brain regions based on large neuroimaging databases.
Enzo Tagliazucchi +5 more
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Characterizing the Complexity of Weighted Networks via Graph Embedding and Point Pattern Analysis
Entropy, 2020 We propose a new metric to characterize the complexity of weighted complex networks. Weighted complex networks represent a highly organized interactive process, for example, co-varying returns between stocks (financial networks) and coordination between ...
Shuo Chen +5 more
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Kronecker Determinantal Point Processes
CoRR, 2016 Determinantal Point Processes (DPPs) are probabilistic models over all subsets a ground set of $N$ items. They have recently gained prominence in several applications that rely on "diverse" subsets. However, their applicability to large problems is still limited due to the $\mathcal O(N^3)$ complexity of core tasks such as sampling and learning.
Mariet, Zelda Elaine, Sra, Suvrit
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Next‐generation sequencing (NGS) has emerged as a promising approach to improve diagnostic accuracy, but its feasibility in low‐ and middle‐income countries remains unknown. This study characterized the diagnostic landscape and assessed organizational readiness for NGS implementation at two childhood cancer treatment centers in Accra ...
Melissa Carvalho +6 more
wiley +1 more source
Modelling the Spatial Dependence of Multi‐Species Point Patterns
Ecology and EvolutionThe study of the spatial point patterns in ecology, such as the records of the observed locations of trees, shrubs, nests, burrows, or documented animal presence, relies on multivariate point process models.
Chathuri L. Samarasekara +2 more
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Identifying Flow Clusters Based on Density Domain Decomposition
IEEE Access, 2020 Flow clustering is one of the most important data mining methods for the analysis of origin-destination (OD) flow data, and it may reveal the underlying mechanisms responsible for the spatial distributions and temporal dynamics of geographical phenomena.
Ci Song, Tao Pei, Hua Shu
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Satistical problems of point processes [PDF]
Mathematica Applicanda, 1978 This is a set of lectures delivered at the International Mathematical Centre, Warsaw, in 1976. The text contains three sections. Section 1 is devoted to basic notions. In the second section inference from a family of Poisson processes is considered. The last section deals with the problems of filtering of Cox processes (doubly stochastic processes).
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Physical rehabilitation is highly recognised in improving the quality of life of cancer survivors through prehabilitation, sequelae management and palliative care, yet its integration into routine care in Ghana has not been characterised, leading to potential gaps in service access.
Dorothy Ekua Adjabu +5 more
wiley +1 more source
Improper Priors via Expectation Measures
StatsIn Bayesian statistics, the prior distributions play a key role in the inference, and there are procedures for finding prior distributions. An important problem is that these procedures often lead to improper prior distributions that cannot be normalized
Peter Harremoës
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Journal of Statistical Software, 2017 etasFLP is an R package which fits an epidemic type aftershock sequence (ETAS) model to an earthquake catalog; non-parametric background seismicity can be estimated through a forward predictive likelihood approach, while parametric components of ...
Marcello Chiodi, Giada Adelfio
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