المؤلفون: Karaahmetoglu, O., Kozat, S.S.

المصدر: IEEE Transactions on Neural Networks and Learning Systems IEEE Trans. Neural Netw. Learning Syst. Neural Networks and Learning Systems, IEEE Transactions on. 34(6):3097-3110 Jun, 2023

المؤلفون: Fernanda Valente, Márcio Laurini

المصدر: Fire, Vol 7, Iss 5, p 170 (2024)

مصطلحات موضوعية: Brazilian Pantanal, fire modeling, spatiotemporal point process, Physics, QC1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2571-6255/7/5/170; https://doaj.org/toc/2571-6255

URL الوصول: https://doaj.org/article/b5390b99e53f491aa98bf13c371ac106

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المؤلفون: Iftimi, A., Cronie, Ottmar, 1979, Montes, F.

المساهمون: Göteborgs universitet, Sahlgrenska akademin, Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa, Gothenburg University, Sahlgrenska Academy, Institute of Medicine, School of Public Health and Community Medicine

المصدر: Scandinavian Journal of Statistics. 46:661-685

مصطلحات موضوعية: Sannolikhetsteori och statistik, Probability Theory and Statistics, adaptive intensity estimation, earthquakes, marked (second-order) intensity-reweighted stationarity, marked inhomogeneous spatiotemporal point process, marked spatiotemporal K-function, marked spatiotemporal second-order reduced moment measure

URL الوصول: https://gup.ub.gu.se/publication/290726

المؤلفون: Oguzhan Karaahmetoglu, Suleyman S. Kozat

المساهمون: Karaahmetoğlu, Oğuzhan, Serdar Kozat, Süleyman

المصدر: IEEE Transactions on Neural Networks and Learning Systems

مصطلحات موضوعية: Computer Networks and Communications, Computer science, Adaptive decision trees, Decision tree, computer.software_genre, Point process, Spatiotemporal point process, Nonstationary time-series data, Artificial Intelligence, Application domain, Baseline (configuration management), Space partitioning, Hawkes process, Event (probability theory), business.industry, Deep learning, Probabilistic logic, Computer Science Applications, Earthquake prediction, Online learning, Artificial intelligence, Data mining, Crime prediction, business, computer, Software

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02c78fc12c5071dd991efd4e1e2e05b9
https://pubmed.ncbi.nlm.nih.gov/34550894

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المؤلفون: Jonatan A. González, Ute Hahn, Jorge Mateu

المساهمون: Centre for Stochastic Geometry and Advanced Bioimaging, Villum Foundation

المصدر: González, J A, Hahn, U & Mateu, J 2020, ' Analysis of tornado reports through replicated spatio-temporal point patterns ', Journal of the Royal Statistical Society, Series C (Applied Statistics), vol. 69, no. 1, pp. 3-23 . https://doi.org/10.1111/rssc.12375

مصطلحات موضوعية: Statistics and Probability, K-function, Computer science, 0208 environmental biotechnology, Separability, Context (language use), 02 engineering and technology, Non-parametric test, 01 natural sciences, Spatiotemporal point process, 010104 statistics & probability, Resampling, Null distribution, Permutation test, 0101 mathematics, Statistical hypothesis testing, non‐parametric test, Nonparametric statistics, 020801 environmental engineering, K‐function, Tornadoes, Statistics, Probability and Uncertainty, Tornado, Null hypothesis, Cartography

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f624298bfa2b49b8fd08ce385403679d
https://pure.au.dk/portal/da/publications/analysis-of-tornado-reports-through-replicated-spatiotemporal-point-patterns(5afdef21-18cc-4eb4-877c-815b4c253696).html

المؤلفون: Jiancang Zhuang, Jorge Mateu

مصطلحات موضوعية: Statistics and Probability, Estimation, Economics and Econometrics, 010102 general mathematics, Type (model theory), periodicity, 01 natural sciences, Reconstruction method, Point process, edge effect correction, stochastic reconstruction, spatiotemporal point process, 010104 statistics & probability, Rhythm, Component (UML), Statistics, Kernel estimate, Crime data, 0101 mathematics, Statistics, Probability and Uncertainty, Cluster analysis, Social Sciences (miscellaneous), Hawkes process, Mathematics, crime

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b471e402d67a36c406f110a2d066c986

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المؤلفون: Jun Yu, Kenneth Nyström, Ottmar Cronie

المساهمون: Stochastics

المصدر: Forest science, 59(5), 505-516

مصطلحات موضوعية: Scots pines, Ecology, biology, Richards growth function, Calibration (statistics), Ecological Modeling, Mathematical statistics, Scots pine, Forestry, Function (mathematics), biology.organism_classification, spatiotemporal point process, Set (abstract data type), goodness of fit, Linear relationship, open growth, Goodness of fit, Statistics, Carrying capacity, Mathematics

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ad7a70456debb38398757516f61edc0
https://doi.org/10.5849/forsci.12-007