Fault diagnosis on wireless sensor network using the neighborhood kernel density estimation
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3342-3
Abstract: Wireless sensor network (WSN) has become one of the most important technologies because of its reliable remote monitoring ability. As sensors are often deployed at remote and/or hazardous environments, it is important to be able… read more here.
Keywords: kernel density; density estimation; wireless sensor; sensor network ... See more keywords
Fast feature selection for interval-valued data through kernel density estimation entropy
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-020-01131-5
Abstract: Kernel density estimation, which is a non-parametric method about estimating probability density distribution of random variables, has been used in feature selection. However, existing feature selection methods based on kernel density estimation seldom consider interval-valued… read more here.
Keywords: kernel density; feature selection; density estimation; interval valued ... See more keywords
Kernel-density estimation and approximate Bayesian computation for flexible epidemiological model fitting in Python
Sign Up to like & getrecommendations! Published in 2018 at "Epidemics"
DOI: 10.1016/j.epidem.2018.05.009
Abstract: Fitting complex models to epidemiological data is a challenging problem: methodologies can be inaccessible to all but specialists, there may be challenges in adequately describing uncertainty in model fitting, the complex models may take a… read more here.
Keywords: kernel density; density estimation; bayesian computation; approximate bayesian ... See more keywords
Extrapolation of load spectra by optimized Kernel Density Estimators using Monte-Carlo-Simulation
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Fatigue"
DOI: 10.1016/j.ijfatigue.2021.106182
Abstract: Abstract In the present article a method based on Monte Carlo Simulation (MCS) is developed with which any spectrum extrapolation method can be statistically evaluated. Thereby, the duration of service life spectrum and the extrapolation… read more here.
Keywords: monte carlo; extrapolation; kernel density; carlo simulation ... See more keywords
Asymptotic properties of Dirichlet kernel density estimators
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Multivariate Analysis"
DOI: 10.1016/j.jmva.2021.104832
Abstract: We study theoretically, for the first time, the Dirichlet kernel estimator introduced by Aitchison and Lauder [3] for the estimation of multivariate densities supported on the d-dimensional simplex. The simplex is an important case as… read more here.
Keywords: kernel density; dirichlet kernel; density estimators; kernel estimator ... See more keywords
Doubly robust kernel density estimation when group membership is missing at random
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Planning and Inference"
DOI: 10.1016/j.jspi.2019.09.010
Abstract: Abstract When there are subjects with subpopulation memberships missing, the kernel density estimates of the subpopulations based on the subjects with verified memberships may not be valid unless the missingness of the memberships satisfies the… read more here.
Keywords: missing random; prediction model; kernel density; doubly robust ... See more keywords
Kernel density approach to error estimation of MF-DFA measures on time series
Sign Up to like & getrecommendations! Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.04.099
Abstract: Abstract MF-DFA is a widely used method for the extraction of multifractal patterns that may appear in time series. Current techniques for determining the range of scales employed in the MF-DFA procedure are mainly empirical… read more here.
Keywords: dfa; kernel density; time series;
Integrating pedestrian-habitat models and network kernel density estimations to measure street pedestrian suitability
Sign Up to like & getrecommendations! Published in 2019 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2019.101736
Abstract: Abstract Pedestrian-oriented urban designs are sustainable from a mobility perspective, and could therefore be used to improve urban environments. This study proposes an analogy between the ecological idea of habitat and the pedestrian urban environment… read more here.
Keywords: methodology; habitat; kernel density; pedestrian habitat ... See more keywords
MODELING LONG-TERM HUMAN POPULATION DYNAMICS USING KERNEL DENSITY ANALYSIS OF 14C DATA IN THE ATACAMA DESERT (18º–21ºS)
Sign Up to like & getrecommendations! Published in 2023 at "Radiocarbon"
DOI: 10.1017/rdc.2023.27
Abstract: Food production is one of the most significant achievements in Andean history. The domestication of plants and animals presented an enormous challenge, relating to changing technologies, settlement patterns, and social organization. This paper aims to… read more here.
Keywords: using kernel; population dynamics; population; kernel density ... See more keywords
Combinatorial method for bandwidth selection in wind speed kernel density estimation
Sign Up to like & getrecommendations! Published in 2019 at "IET Renewable Power Generation"
DOI: 10.1049/iet-rpg.2018.5643
Abstract: Accurate estimation of wind speed probability density at a given site is crucial in maximising the yield of a wind farm. This goal calls for devising probabilistic models with adaptive algorithms that accurately fit wind… read more here.
Keywords: speed; wind speed; combinatorial method; kernel density ... See more keywords
Subsampling-extrapolation bandwidth selection in bivariate kernel density estimation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1597099
Abstract: ABSTRACT This paper focuses on bivariate kernel density estimation that bridges the gap between univariate and multivariate applications. We propose a subsampling-extrapolation bandwidth matrix selector that improves the reliability of the conventional cross-validation method. The… read more here.
Keywords: kernel density; density estimation; extrapolation; bandwidth matrix ... See more keywords