Results 1 to 10 of about 151 (92)
Hybrid deep learning and optimized variational mode decomposition for point-interval runoff prediction. [PDF]
PLoS ONERunoff prediction is crucial for water resource allocation and hydropower planning. To address low accuracy and uncertainty in runoff forecasting, this study proposes a framework integrating the Information Acquisition Optimizer (IAO), Variational Mode ...
Hong Ma +3 more
doaj +3 more sources
On the convergence rate of d-dimensional fourth-order beta polynomial kernels
Recent Advances in Natural Sciences, 2023 This article focuses on formulating the Asymptotic Mean Integrated Squared Error (AMISE) scheme for d-dimensional fourth-order beta polynomial kernels in the context of kernel density estimation.
Benson Ade Eniola Afere
doaj +2 more sources
Application of Mazur–Orlicz's theorem in AMISE calculation [PDF]
Applicationes Mathematicae, 2002 Summary: An approximation error and an asymptotic formula are given for shift invariant operators of polynomial order~\(\varrho\). Density estimators based on shift invariant operators are introduced and AMISE is calculated.
K. Dziedziul
openaire +3 more sources
Local Linear Regression Estimator on the Boundary Correction in Nonparametric Regression Estimation
Journal of Statistical Theory and Applications (JSTA), 2020 The precision and accuracy of any estimation can inform one whether to use or not to use the estimated values. It is the crux of the matter to many if not all statisticians.
Langat Reuben Cheruiyot
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On the fourth-order hybrid beta polynomial kernels in kernel density estimation
Journal of Nigerian Society of Physical SciencesThis paper introduces a novel family of fourth-order hybrid beta polynomial kernels tailored for statistical analysis. The efficacy of these kernels is evaluated using two principal performance metrics: asymptotic mean integrated squared error (AMISE ...
Benson Ade Eniola Afere
doaj +2 more sources
Discover EnvironmentPetroleum spillages (PTS) have significantly contributed to environmental degradation in Nigeria’s Niger Delta Region (NDR). This research aims to establish the causes of PTS in the NDR using nonparametric statistical methods for five years.
Israel Uzuazor Siloko +2 more
doaj +2 more sources
TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Real-time density estimation is ubiquitous in many applications, including computer vision and signal processing. Kernel density estimation is arguably one of the most commonly used density estimation techniques, and the use of “sliding window” mechanism
Yinsong Wang +2 more
semanticscholar +1 more source
The Scientific World Journal, 2023 One of the vital climatic parameters with significant roles in many natural phenomena is wind. The importance of wind cannot be overemphasized due to its role as a source of renewable energy.
I.U. Siloko, O. Uddin
semanticscholar +1 more source
A new family of kernels from the beta polynomial kernels with applications in density estimation
IJAIN (International Journal of Advances in Intelligent Informatics), 2020 One of the fundamental data analytics tools in statistical estimation is the non-parametric kernel method that involves probability estimates production.
Israel Uzuazor Siloko +2 more
doaj +1 more source
Kernel density estimation with linked boundary conditions [PDF]
Studies in applied mathematics (Cambridge), 2018 Kernel density estimation on a finite interval poses an outstanding challenge because of the well‐recognized bias at the boundaries of the interval. Motivated by an application in cancer research, we consider a boundary constraint linking the values of ...
Matthew J. Colbrook +3 more
semanticscholar +1 more source