Evaluation of threshold selection methods for adaptive kernel density estimation in disease mapping. [PDF]
Int J Health Geogr, 2018 Ruckthongsook W +3 more
europepmc +1 more source
Kernel-density estimation and approximate Bayesian computation for flexible epidemiological model fitting in Python. [PDF]
Epidemics, 2018 Irvine MA, Hollingsworth TD.
europepmc +1 more source
Spatiotemporal characteristics of elderly population's traffic accidents in Seoul using space-time cube and space-time kernel density estimation. [PDF]
PLoS One, 2018 Kang Y, Cho N, Son S.
europepmc +1 more source
Using Twitter Data to Monitor Natural Disaster Social Dynamics: A Recurrent Neural Network Approach with Word Embeddings and Kernel Density Estimation. [PDF]
Sensors (Basel), 2019 Hernandez-Suarez A +6 more
europepmc +1 more source
Using kernel density estimation to understand the influence of neighbourhood destinations on BMI. [PDF]
BMJ Open, 2016 King TL +3 more
europepmc +1 more source
Related searches:
TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023Yu Ding +2 more
exaly
Fast feature selection for interval-valued data through kernel density estimation entropy
International Journal of Machine Learning and Cybernetics, 2020Jiaolong Chen +2 more
exaly
Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression
IEEE Transactions on Knowledge and Data Engineering, 2020Junping Du, Weiming Hu, Bing Li
exaly
A tutorial on kernel density estimation and recent advances
Biostatistics and Epidemiology, 2017Yen-Chi Chen
exaly
Kernel density estimation on Riemannian manifolds
Statistics and Probability Letters, 2005Bruno Pelletier
exaly