Results 31 to 40 of about 4,458,250 (263)

Analisis Penggunaan Metode Kernel Density Estimation pada Loss Distribution Approach untuk Risiko Operasional

Jurnal Matematika Integratif, 2017
Loss Distribution Approach (LDA) merupakan metode yang populer untuk mengestimasi kebutuhan modal bagi risiko operasional pada bidang perbankan. Dalam LDA, bank harus mengestimasi loss severity distribution (lsd) dan loss frequency distribution (lfd ...
Erwan Setiawan, Hendri Murfi, Yudi Satria   +2 more
doaj   +1 more source

Comparison of image-based quantification methods in evaluating fixation stability using a remote eye tracker in abnormal phoria

Journal of International Medical Research, 2022
Objective This study was performed to establish a quantitative evaluation and comparison of fixation stability, as measured by an eye tracker, using image-based areas determined by the bivariate contour ellipse area (BCEA), kernel density estimation (KDE)
Sang-Yeob Kim, Byeong-Yeon Moon, Hyun Gug Cho, Dong-Sik Yu   +3 more
doaj   +1 more source

A forward-constrained regression algorithm for sparse kernel density estimation [PDF]

, 2008
Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward-constrained regression (FCR) manner. The proposed algorithm selects significant kernels one at a time, while the leave-
Harris, C. J., Hong, Xia, Sheng Chen, Chris J. Harris, Chen, Sheng, Hong, X., Harris, Chris J., Xia Hong, Chen, S.   +8 more
core   +1 more source

Exploiting Two-Dimensional Geographical and Synthetic Social Influences for Location Recommendation

ISPRS International Journal of Geo-Information, 2020
With the rapid development of location-based social networks (LBSNs), because human behaviors exhibit specific distribution patterns, personalized geo-social recommendation has played a significant role for LBSNs.
Jiping Liu, Zhiran Zhang, Chunyang Liu, Agen Qiu, Fuhao Zhang   +4 more
doaj   +1 more source

Wind speed model based on kernel density estimation and its application in reliability assessment of generating systems

Journal of Modern Power Systems and Clean Energy, 2017
An accurate probability distribution model of wind speed is critical to the assessment of reliability contribution of wind energy to power systems. Most of current models are built using the parametric density estimation (PDE) methods, which usually ...
Bo Hu, Yudun Li, Hejun Yang, He Wang
doaj   +1 more source

A Novel Flexible Kernel Density Estimator for Multimodal Probability Density Functions

CAAI Transactions on Intelligence Technology
Estimating probability density functions (PDFs) is critical in data analysis, particularly for complex multimodal distributions. traditional kernel density estimator (KDE) methods often face challenges in accurately capturing multimodal structures due to
Jia‐Qi Chen, Yu‐Lin He, Ying‐Chao Cheng, Philippe Fournier‐Viger, Ponnuthurai Nagaratnam Suganthan, Joshua Zhexue Huang   +5 more
doaj   +1 more source

On the effect of fixed-bandwidth kernel density estimation on the exponential distribution

Journal of Nigerian Society of Physical Sciences
Kernel density estimation (KDE) is widely used as a nonparametric smoothing operator in statistics. In this work, we study fixed-bandwidth KDE as a convolution operator applied to an exponential baseline distribution with rate parameter (beta > 0).
Anwar Bataihah
doaj   +1 more source

KDAC6 alters cell morphology and motility through positive and negative modulation of F‐actin distribution

FEBS Open Bio, EarlyView.
KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph, Andrea B. Pham, Kiara E. Bornes, Razan H. Hammad, Chelsea A. Rousseve‐Ross, Thomas M. Huckaba, Terry J. Watt, Tasha B. Toro   +7 more
wiley   +1 more source

A Semi-Parametric KDE-GPD Model for Earthquake Magnitude Analysis

Mathematics
A semi-parametric mixture model, combining kernel density estimation (KDE) and the generalized Pareto distribution (GPD), is applied to analyze the statistical characteristics of earthquake magnitudes.
Yanfang Zhang, Yibin Zhao, Fuchang Wang
doaj   +1 more source

Applicability Evaluation of Several Spatial Clustering Methods in Spatiotemporal Data Mining of Floating Car Trajectory

ISPRS International Journal of Geo-Information, 2021
Spatial analysis is an important means of mining floating car trajectory information, and clustering method and density analysis are common methods among them.
Hao-xuan Chen, Fei Tao, Pei-long Ma, Li-na Gao, Tong Zhou   +4 more
doaj   +1 more source