Results 21 to 30 of about 1,087,603 (247)
Structural change detection in ordinal time series.
PLoS ONE, 2021 Change-point detection in health care data has recently obtained considerable attention due to the increased availability of complex data in real-time. In many applications, the observed data is an ordinal time series.
Fuxiao Li, Mengli Hao, Lijuan Yang
doaj +1 more source
GAME TRENDS OF THE TURKISH BASKETBALL SUPER LEAGUE
Spormetre Beden Eğitimi ve Spor Bilimleri Dergisi, 2023 Although basketball is a highly followed sport in Turkey, there is a noticeable lack of research on the Turkish Basketball Super League, regarding the changes and game trends that have occurred over the years.
Övünç Erdeveciler
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History Matching Through a Smooth Formulation of Multiple-Point Statistics [PDF]
, 2014 We propose a smooth formulation of multiple-point statistics that enables us to solve inverse problems using gradient-based optimization techniques. We introduce a differentiable function that quantifies the mismatch between multiple-point statistics of ...
Knud Skou Cordua +14 more
core +1 more source
Remote Sensing, 2019 This paper develops a novel hybrid model that integrates three spatial contexts into probabilistic classifiers for remote sensing classification. First, spatial pattern is introduced using multiple-point geostatistics (MPGs) to characterize the general ...
Yunwei Tang +4 more
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Spatio-temporal point process statistics: A review [PDF]
, 2016 © 2016 Elsevier B.V. Spatio-temporal point process data have been analysed quite a bit in specialised fields, with the aim of better understanding the inherent mechanisms that govern the temporal evolution of events placed in a planar region.
Gothenburg University. +5 more
core +2 more sources
Quantifying the uncertainty in change points [PDF]
, 2011 Quantifying the uncertainty in the location and nature of change points in time series is important in a variety of applications. Many existing methods for estimation of the number and location of change points fail to capture fully or explicitly the ...
Aston, John A. D. +5 more
core +1 more source
Combining Clustering Methods With MPS to Estimate Structural Uncertainty for Hydrological Models
Frontiers in Earth Science, 2019 This study presents a novel expansion of the clay-fraction (CF)/resistivity clustering method aiming at developing realizations of subsurface structures based on multiple point statistics (MPS).
Troels Norvin Vilhelmsen +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
, 2016 Incorporating spatial information quantified by geostatistical tools to improve the classification of remotely sensed data is a promising method. Most existing studies only focused on the development of geostatistics-based spectral-spatial classification
Peijun Li +3 more
core +1 more source
Petroleum Science, 2019 Modeling reservoir permeability is one of the crucial tasks in reservoir simulation studies. Traditionally, it is done by kriging-based methods. More rigorous modeling of the permeability results in more reliable outputs of the reservoir models. Recently,
Arash Azamifard +4 more
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