Suchergebnisse - modified kernel density estimation

Maximum Modified Kernel Likelihood Estimation of the Intensity for a Counting Process

Autoren: Naik-Nimbalkar, U. V.

Quelle: Lecture Notes-Monograph Series, 1995 Jan 01. 27, 1-9.

Zugangs-URL: https://www.jstor.org/stable/4355858

Health Risk Assessment of Groundwater in Cold Regions Based on Kernel Density Estimation–Trapezoidal Fuzzy Number–Monte Carlo Simulation Model: A Case Study of the Black Soil Region in Central Songnen Plain.

Autoren: Li, Jiani Wang, Yu Bian, Jianmin et al.

Quelle: Water (20734441); Oct2025, Vol. 17 Issue 20, p2984, 23p

Schlagwörter: HEALTH risk assessment, WATER quality, GROUNDWATER, COLD regions, MONTE Carlo method, POLLUTION source apportionment, PROBABILITY density function, GEOGRAPHICAL positions

Adaptive Independent Component Analysis by Modified Kernel Density Estimation

Autoren: Yunfeng Xue Yujie Han Yujia Wang

Quelle: Lecture Notes in Computer Science ISBN: 9783642149214

Zugangs-URL: https://dblp.uni-trier.de/db/conf/icic/icic2010-1.html#XueWH10
https://link.springer.com/content/pdf/10.1007%2F978-3-642-14922-1_29.pdf
https://link.springer.com/chapter/10.1007%2F978-3-642-14922-1_29
https://rd.springer.com/chapter/10.1007/978-3-642-14922-1_29

Convolutions of totally positive distributions with applications to kernel density estimation

Autoren: Zartash, Ali Robeva, Elina

Quelle: Algebraic Statistics. 13:57-79

Schlagwörter: FOS: Mathematics, Mathematics - Statistics Theory, Statistics Theory (math.ST), 0101 mathematics, 01 natural sciences

Zugangs-URL: http://arxiv.org/abs/1910.02345

Versatile sequential sampling algorithm using Kernel Density Estimation

Autoren: Bénédicte Cuenot Lluís Jofre Jean-Christophe Jouhaud et al.

Weitere Verfasser: Bénédicte Cuenot Lluís Jofre Jean-Christophe Jouhaud et al.

Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Schlagwörter: Optimal design, Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids, 02 engineering and technology, 01 natural sciences, Turbulence, Stochastic processes, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, Discrepancy, Design of experiments, Uncertainty quantification, Turbulència, Enginyeria mecànica::Mecànica de fluids [Àrees temàtiques de la UPC]

Dateibeschreibung: application/pdf

Zugangs-URL: https://ideas.repec.org/a/eee/ejores/v284y2020i1p201-211.html
https://doi.org/10.1016/j.ejor.2019.11.070
https://www.sciencedirect.com/science/article/pii/S0377221719309828
https://dblp.uni-trier.de/db/journals/eor/eor284.html#RoyJJC20
https://upcommons.upc.edu/handle/2117/187283
https://hdl.handle.net/2117/187283
https://doi.org/10.1016/j.ejor.2019.11.070

A Modified Kernel Quantile Estimator under Censoring

Autoren: Lio, Y. L. Padgett, W. J.

Quelle: The Canadian Journal of Statistics / La Revue Canadienne de Statistique, 1988 Jun 01. 16(2), 175-183.

Zugangs-URL: https://www.jstor.org/stable/3314638

Probabilistic and Deterministic Wind Speed Prediction: Ensemble Statistical Deep Regression Network

Autoren: Solmaz Farahbod Taher Niknam Mohammad Mohammadi et al.

Quelle: IEEE Access, Vol 10, Pp 47063-47075 (2022)

Schlagwörter: modified kernel density estimation, probability density function (PDF), 0202 electrical engineering, electronic engineering, information engineering, residual deep network, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 7. Clean energy, Wind speed prediction, TK1-9971

Zugangs-URL: https://doaj.org/article/a26105c7a4de49bdb9e54881023141ba

Versatile sequential sampling algorithm using kernel density estimation

Autoren: Universitat Politècnica de Catalunya. Departament de Mecànica de Fluids Roy, Pamphile T. Jofre Cruanyes, Lluís

Index Begriffe: Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids, Turbulence, Stochastic processes, Design of experiments, Discrepancy, Optimal design, Uncertainty quantification, Turbulència, Article

URL: http://hdl.handle.net/2117/187283
https://doi.org/10.1016/j.ejor.2019.11.070
https://doi.org/10.1016/j.ejor.2019.11.070

On the fourth-order hybrid beta polynomial kernels in kernel density estimation.

Autoren: Afere, Benson Ade Eniola

Quelle: Journal of Nigerian Society of Physical Sciences; Feb2024, Vol. 6 Issue 1, p1-15, 15p

Schlagwörter: POLYNOMIALS, QUANTITATIVE research, KERNEL (Mathematics), DATA analysis, EVALUATION

Kernel density estimation of egg attachment areas aids in revealing spatiotemporal changes in Chinese sturgeon spawning grounds.

Autoren: Pengsheng Li Xuan Ban Jinming Wu et al.

Quelle: Water Biology & Security; Jan2025, Vol. 4 Issue 1, p1-7, 7p

Kernel density estimation, Bayesian inference and random effects model

Autoren: Chan, Karen Pui-Shan

Schlagwörter: 519

Zugangs-URL: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.642727

An Approach to EEG Based Emotion Recognition and Classification Using Kernel Density Estimation.

Autoren: Lahane, Prashant Sangaiah, Arun Kumar

Quelle: Procedia Computer Science. 2015, Vol. 48, p574-581. 8p.

Schlagwörter: Electroencephalography, Pattern recognition systems, Kernel operating systems, Estimation theory, Information & communication technologies

Representing the Spatial Extent of Places Based on Flickr Photos with a Representativeness-Weighted Kernel Density Estimation

Autoren: Jiaoli Chen Shih-Lung Shaw

Quelle: Lecture Notes in Computer Science ISBN: 9783319457376

Schlagwörter: 11. Sustainability

Zugangs-URL: https://rd.springer.com/chapter/10.1007/978-3-319-45738-3_9
https://link.springer.com/chapter/10.1007/978-3-319-45738-3_9/fulltext.html
https://link.springer.com/chapter/10.1007/978-3-319-45738-3_9
https://dblp.uni-trier.de/db/conf/giscience/giscience2016.html#ChenS16

Integration by Parts for Point Processes and Monte Carlo Estimation

Autoren: Privault, Nicolas Wei, Xiao

Quelle: Journal of Applied Probability, 2007 Sep 01. 44(3), 806-823.

Zugangs-URL: https://www.jstor.org/stable/27595883

Kernel density estimation of conditional distributions to detect responses in satellite tag data.

Autoren: Hewitt, Joshua Gelfand, Alan E. Quick, Nicola J. et al.

Quelle: Animal Biotelemetry; 9/27/2022, Vol. 10 Issue 1, p1-15, 15p

Schlagwörter: PROBABILITY density function, BEAKED whales, MARINE mammals, DEEP diving, OCEANOGRAPHIC submersibles

Correlation Analysis of Geological Disaster Density and Soil and Water Conservation Prevention and Control Capacity: A Case Study of Guangdong Province.

Autoren: Lu, Yaping Fu, Jingcheng Tang, Li

Quelle: Water (20734441); Sep2025, Vol. 17 Issue 17, p2527, 20p

Schlagwörter: SOIL conservation, CLIMATE change, PROVINCES, SLOPES (Soil mechanics), GROUND vegetation cover, NATURAL disasters, MACHINE learning, GEOGRAPHIC spatial analysis

Geografische Kategorien: GUANGDONG Sheng (China), CHINA

Adaptive Independent Component Analysis by Modified Kernel Density Estimation.

Autoren: Xue, Yunfeng Wang, Yujia Han, Yujie

Quelle: Advanced Intelligent Computing Theories & Applications; 2010, p230-237, 8p

Assessing Impacts of Anthropogenic Modification on Surface Soil Moisture Dynamics: A Case Study over Southwest China.

Autoren: Shen, Chunying Qin, Changrui Lu, Zheng et al.

Quelle: Hydrology (2306-5338); Nov2025, Vol. 12 Issue 11, p275, 24p

Schlagwörter: SOIL moisture, ANTHROPOGENIC effects on nature, HYDROLOGIC cycle, SUSTAINABILITY, IRRIGATION efficiency, LAND use planning, GEOSPATIAL data

Geografische Kategorien: SOUTHWEST China

Modified canonical variate analysis based on dynamic kernel decomposition for dynamic nonlinear process quality monitoring.

Autoren: Zhang, Ming-Qing Luo, Xiong-Lin

Quelle: ISA Transactions. Feb2021, Vol. 108, p106-120. 15p.

Schlagwörter: Kernel (Mathematics), Singular value decomposition, Kernel functions, Mathematical decomposition, Orthogonal decompositions, Latent variables, Product quality, Product improvement

Spatial Ecology of a Resident Avian Predator During the Non-Breeding Period in Managed Habitats of Southeastern Europe.

Autoren: Rajković, Draženko Z. Stanković, Daliborka Šeat, Jelena et al.

Quelle: Animals (2076-2615); Nov2024, Vol. 14 Issue 22, p3338, 18p

Schlagwörter: TAWNY owl, SPATIAL ecology, PROBABILITY density function, BIRD ecology, HABITAT selection, ROOSTING