Results 51 to 60 of about 18,318 (97)

An Analog-Digital Hardware for Parzen-Based Nonparametric Probability Density Estimation

IEEE Access
Probability estimation measures the likelihood of different outcomes in a statistical context. It commonly involves estimating either the parameters or the entire distribution of a random variable.
Djordje Stankovic, Andjela Draganic, Nedjeljko Lekic, Cornel Ioana, Irena Orovic   +4 more
doaj   +1 more source

Application of Clustering in the Non-Parametric Estimation of Distribution Density

Nonlinear Analysis, 2006
This paper discusses a multimodal density function estimation problem of a random vector. A comparative accuracy analysis of some popular non-parametric estimators is made by using the Monte-Carlo method.
T. Ruzgas, R. Rudzkis, M. Kavaliauskas
doaj   +1 more source

Solar Probability Density Estimation Using Adaptive Parametric/Nonparametric Hybrid Model

IEEE Access
The accurate estimation of solar irradiance probability distribution is essential when assessing the level of available solar resources and attempting to minimize the effect of solar power variability on power system planning.
Maisam Wahbah, Bashar Zahawi, Tarek H. M. El-Fouly   +2 more
doaj   +1 more source

Conditional Density Kernel Estimation Under Random Censorship for Functional Weak Dependence Data

Journal of Mathematics
The primary objective of this research is to investigate the asymptotic properties of the conditional density nonparametric estimator. The main areas of focus are the estimator’s consistency (with rates), including those involving censored data and quasi-
Hamza Daoudi, Abderrahmane Belguerna, Zouaoui Chikr Elmezouar, Fatimah Alshahrani   +3 more
doaj   +1 more source

Non-Parametric Signal Interpolation

Austrian Journal of Statistics, 2016
This paper considers the problem of interpolation (smoothing) of a partially observable Markov random sequence. For the dynamic observation models, an equation for the interpolation of the posterior probability density is derived.
Alexandr V. Dobrovidov
doaj   +1 more source

Wind Power Prediction Based on LSTM Networks and Nonparametric Kernel Density Estimation

IEEE Access, 2019
Wind energy is a kind of sustainable energy with strong uncertainty. With a large amount of wind power injected into the power grid, it will inevitably affect the security, stability and economic operation of the power grid.
Bowen Zhou, Xiangjin Ma, Yanhong Luo, Dongsheng Yang   +3 more
doaj   +1 more source

LogConcDEAD: An R Package for Maximum Likelihood Estimation of a Multivariate Log-Concave Density

Journal of Statistical Software, 2008
In this article we introduce the R package LogConcDEAD (Log-concave density estimation in arbitrary dimensions). Its main function is to compute the nonparametric maximum likelihood estimator of a log-concave density.
Madeleine Cule, Robert Gramacy, Richard Samworth   +2 more
doaj  

TAN-FGBMLE: Tree-Augmented Naive Bayes Structure Learning Based on Fast Generative Bootstrap Maximum Likelihood Estimation for Continuous-Variable Classification. [PDF]

Entropy (Basel)
Wei C, Zhang T, Li C, Wang P, Ye Z.
europepmc   +1 more source

Noninvasive Seizure Onset Zone Localization Using Janashia-Lagvilava Algorithm-Based Spectral Factorization in Granger Causality. [PDF]

Brain Sci
Kasradze S, Lomidze G, Ephremidze L, Gagoshidze T, Japaridze G, Alkhidze M, Jishkariani T, Dhamala M.   +7 more
europepmc   +1 more source

Re-weighted estimation of the transition probability density for second-order diffusion processes. [PDF]

PLoS One
Li Y, Wang Y, Tang M.
europepmc   +1 more source