PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Genomics & Informatics10.5808/gi.220332022202e17Identification of the associations between genes and quantitative traits using entropy-based kernel density estimationJaeyong Yee, Taesung Park, Mira Parkhttp://genominfo.org/upload/pdf/gi-22033.pdf, http://genominfo.org/journal/view.php?doi=10.5808/gi.22033, http://genominfo.org/upload/pdf/gi-22033.pdf
Genetic Epidemiology10.1002/gepi.10196200224144-56On a semiparametric test to detect associations between quantitative traits and candidate genes using unrelated individualsShuanglin Zhang, Xiaofeng Zhu, Hongyu Zhaohttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fgepi.10196, https://onlinelibrary.wiley.com/doi/full/10.1002/gepi.10196
Agronomy10.3390/agronomy110101822021111182Identification of Associations between SSR Markers and Quantitative Traits of Maize (Zea mays L.)Jan Bocianowski, Kamila Nowosad, Barbara Wróbel, Piotr Szulchttps://www.mdpi.com/2073-4395/11/1/182/pdf
Entropy10.3390/e22121363202022121363Functional Kernel Density Estimation: Point and Fourier Approaches to Time Series Anomaly DetectionMichael R. Lindstrom, Hyuntae Jung, Denis Larocquehttps://www.mdpi.com/1099-4300/22/12/1363/pdf
International Journal of Refrigeration10.1016/j.ijrefrig.2021.04.0192021129290-300An enhanced fault detection method for centrifugal chillers using kernel density estimation based kernel entropy component analysisYudong Xia, Qiang Ding, Nijie Jing, Yijia Tang, Aipeng Jiang, Shu Jiangzhouhttps://api.elsevier.com/content/article/PII:S0140700721001444?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0140700721001444?httpAccept=text/plain
Entropy10.3390/e1811039620161811396Kernel Density Estimation on the Siegel Space with an Application to Radar ProcessingEmmanuel Chevallier, Thibault Forget, Frédéric Barbaresco, Jesus Angulohttp://www.mdpi.com/1099-4300/18/11/396/pdf
Nonparametric Kernel Density Estimation and Its Computational Aspects10.1007/978-3-319-71688-6_5201785-118FFT-Based Algorithms for Kernel Density Estimation and Bandwidth SelectionArtur Gramackihttp://link.springer.com/content/pdf/10.1007/978-3-319-71688-6_5
Entropy10.3390/e2408107120222481071A Bayesian Motivated Two-Sample Test Based on Kernel Density EstimatesNaveed Merchant, Jeffrey D. Harthttps://www.mdpi.com/1099-4300/24/8/1071/pdf
Genetic Epidemiology10.1002/gepi.13701202041995122145-161Statistical validity for testing associations between genetic markers and quantitative traits in family dataTodd G. Nick, Varghese George, Robert C. Elston, Alexander F. Wilsonhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fgepi.1370120204, https://onlinelibrary.wiley.com/doi/full/10.1002/gepi.1370120204
Applied Sciences10.3390/app1206298120221262981Process Monitoring Using Kernel PCA and Kernel Density Estimation-Based SSGLR Method for Nonlinear Fault DetectionFaisal Shahzad, Zhensheng Huang, Waqar Hussain Memonhttps://www.mdpi.com/2076-3417/12/6/2981/pdf