Suchergebnisse - local polynomial kernel method

Comparison between the Local Polynomial Kernel Method and cubic spline to Estimating Time-Varying Coefficients Model von Abdul-Kareem Fayadh, Noor, Jaafar Hussain, Wafaa

“… Methods Two methods were used, local polynomial kernal method and the cubic spline method …”
Volltext

Numerical solution of fractional integro-differential equations with non-local conditions using reproducing kernel method based on Chebyshev polynomials von Saldır, Onur

“… In this study, an improved version of the reproducing kernel method is presented, combined with shifted Chebyshev polynomials, to obtain numerical solutions of fractional order integro-differential …”
Volltext

Estimating Lyapunov exponents on a noisy environment by global and local Jacobian indirect algorithms von Escot, Lorenzo, Sandubete, Julio E.

“… •The results obtained provide robust evidence that the Jacobian indirect methods provide better estimates than traditional direct methods in all the experiments we have conducted …”
Volltext

FRATS: Functional Regression Analysis of DTI Tract Statistics von Hongtu Zhu, Styner, M., Niansheng Tang, Zhexing Liu, Weili Lin, Gilmore, J.H.

“… The functional regression framework consists of four integrated components: the local polynomial kernel method for smoothing multiple diffusion properties along individual …”
Volltext

Estimating the bias of local polynomial approximation methods using the Peano kernel von Blair, Jerome, Machorro, Eric, Luttman, Aaron

“… Determining the uncertainty in a model estimate of a signal requires both the variance and the bias of the estimate, and, in the case of local polynomial approximation (LPA …”
Volltext

Topological Spin Excitations in Non-Hermitian Spin Chains with a Generalized Kernel Polynomial Algorithm von Chen, Guangze, Song, Fei, Lado, Jose L.

“… Here, we put forward a numerical approach to compute spectral functions of a non-Hermitian many-body Hamiltonian based on the kernel polynomial method and the matrix-product state formalism …”
Volltext

Estimation of neuronal firing rate using Bayesian Adaptive Kernel Smoother (BAKS) von Ahmadi, Nur, Constandinou, Timothy G., Bouganis, Christos-Savvas

“… To address this issue, we develop a new method for estimating firing rate based on a kernel smoothing technique that considers the bandwidth …”
Volltext

Managing price risks using and local polynomial kernel forecasts von Kim, Minkyoung, Garcia, Philip, Leuthold, Raymond M.

“… A relatively new forecasting method, nonparametric local polynomial kernel (LPK), is used to forecast prices and to generate ex ante hedge ratios …”
Volltext

Automatic structure recovery for additive models von Wu, Yichao, Stefanski, Leonard A

“… We propose an automatic structure recovery method for additive models, based on a backfitting algorithm coupled with local polynomial smoothing, in conjunction with a new kernel-based variable selection strategy …”
Weitere Angaben

The optimized interpolation of fish positions and speeds in an array of fixed acoustic receivers von Hedger, Richard D., Martin, François, Dodson, Julian J., Hatin, Daniel, Caron, François, Whoriskey, Fred G.

“… receivers is the weighted-mean method, which uses a box-kernel estimator, one of the simplest smoothing options available …”
Volltext

Numerical Discretization-Based Kernel Type Estimation Methods for Ordinary Differential Equation Models von Hu, Tao, Qiu, Yan Ping, Cui, Heng Jian, Chen, Li Hong

“… We proposed a new two-stage approach which includes a smoothing method（kernel smoothing or local polynomial fitting …”
Volltext

Relative efficiencies of kernel and local likelihood density estimators von Hall, Peter, Tao, Terence

“… We show that, whereas the integrated variances of the two methods are virtually identical, the integrated squared bias of a conventional kernel estimator is less than that of a local log-linear …”
Volltext

Right-censored partially linear regression model with error in variables: application with carotid endarterectomy dataset von Aydın, Dursun, Yılmaz, Ersin, Chamidah, Nur, Lestari, Budi

“… In this sense, we propose three modified semiparametric estimators obtained from local polynomial regression, kernel smoothing, and B-spline smoothing methods based on kernel deconvolution approach …”
Weitere Angaben

MODELING OF LOCAL POLYNOMIAL KERNEL NONPARAMETRIC REGRESSION FOR COVID DAILY CASES IN SEMARANG CITY, INDONESIA von Utami, Tiani Wahyu, Lahdji, Aisyah

“… The nonparametric regression in this research using Local Polynomial Kernel approach. Determination of the polynomial …”
Volltext

The kernel polynomial method von Weiße, Alexander, Wellein, Gerhard, Alvermann, Andreas, Fehske, Holger

Volltext

A Least Squares Polynomial‐Based Partition of Unity Method for Tempered‐Type Integro‐Differential Equations von Fardi, Mojtaba, Baleanu, Dumitru

“… This paper introduces a novel meshless method based on polynomials for solving a class of integro …”
Volltext

A fast multipole method for Fredholm integral equations of the second kind with general kernel K(x,y)=K(x − y) von Liang, Jiangli, Xiang, Shuhuang

“… The local expansion of the fast multipole method is based on polynomial approximation of the kernel, which is well defined and analytic in the far cells even for |x−y|α or log⁡|x−y …”
Volltext

Modelling rice production in Central Java using semiparametric regression of local polynomial kernel approach von Utami, T W, Prahutama, A, Karim, A, Achmad, A R. F

“… Nonparametric regression has a smooth curve of the unknown pattern, so in this case required smoothing technique used to smooth curves that one of them is the local polynomial kernel approach …”
Volltext

Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction von Gowthul Alam, M. M., Baulkani, S.

“… Subsequently, a hybrid kernel method combining local and global characteristics of input data is proposed, where polynomial is used for global kernel and radial basis function is utilized for local kernel …”
Volltext

Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion von Hurvich, Clifford M., Simonoff, Jeffrey S., Tsai, Chih-Ling

“… Many different methods have been proposed to construct nonparametric estimates of a smooth regression function, including local polynomial, (convolution …”
Volltext