Results 231 to 240 of about 43,321 (262)

P-spline curves

The Visual Computer, 2022
Zhihao Wang, Yajuan Li, Huixia Xu, Jianzhen Liu, Chongyang Deng   +4 more
openaire   +1 more source

Frequency Analysis of Recurrence Variational P-Splines

Optoelectronics, Instrumentation and Data Processing, 2017
Frequency responses of the procedure of spline-smoothing of information coming in real time are obtained. A recurrence spline is studied from the standpoint of the theory of linear dynamical systems. The estimation of quality and sustainability of the recurrence spline filter are described.
E. A. Kochegurova, A. I. Kochegurov, N. E. Rozhkova   +2 more
openaire   +1 more source

Generalized Linear Models with P-splines

1992
B-splines with equidistant knots are attractive for nonparametric models, but allow only limited control over smoothness. We propose a simple but effective remedy: use relatively many knots but put a difference penalty on the coefficients of the B-splines.
Paul H. C. Eilers, Brian D. Marx
openaire   +1 more source

Regularisation and P-splines in generalised linear models

Journal of Nonparametric Statistics, 2009
P-splines regression is a flexible smoothing tool in which the starting point is a highly parameterised model and overfitting is prevented by introducing a penalty function. A common form of the penalty term is obtained by taking a prespecified order of differences of adjacent coefficients. This paper deals with a data-driven choice of the differencing
Irène Gijbels, Anneleen Verhasselt
openaire   +1 more source

Image interpolation using adaptive P-spline

2015 Annual IEEE India Conference (INDICON), 2015
This paper introduces a novel scheme for image interpolation. The basic contribution of the proposed interpolation scheme lies in two aspects. Firstly, the missing pixels in the image to be interpolated are classified into smooth and non-smooth based on the local characteristic of the image. Secondly regularized version of B-spline i.e.
Rajashree Nayak, Dipti Patra
openaire   +1 more source

Variable Selection in Varying-Coefficient Models Using P-Splines

Journal of Computational and Graphical Statistics, 2012
In this article, we consider nonparametric smoothing and variable selection in varying-coefficient models. Varying-coefficient models are commonly used for analyzing the time-dependent effects of covariates on responses measured repeatedly (such as longitudinal data). We present the P-spline estimator in this context and show its estimation consistency
Antoniadis, Anestis, Gijbels, Irène, Verhasselt, Anneleen   +2 more
openaire   +3 more sources

Cormack–Jolly–Seber model with environmental covariates: A P‐spline approach

Biometrical Journal, 2012
In capture–recapture models, survival and capture probabilities can be modelled as functions of time‐varying covariates, such as temperature or rainfall. The Cormack–Jolly–Seber (CJS) model allows for flexible modelling of these covariates; however, the functional relationship may not be linear.
Stoklosa, Jakub, Huggins, Richard M.
openaire   +3 more sources

REML for Two-Dimensional P-Splines

We propose a new method based on residual (or restricted) maximum likelihood (REML) for P-splines. Existing methods use a transformation of P-splines to a mixed model; in the new model it is shown that a more direct method can be used keeping the sparse structure of P-splines. The method is illustrated with a two-dimensional example using the R-package
openaire   +1 more source

Favard's Solution is the Limit of W k,p -Splines

Transactions of the American Mathematical Society, 1976
Chui, C. K., Smith, P. W., Ward, J. D.
openaire   +2 more sources

Isogeometric analysis using T-splines

Computer Methods in Applied Mechanics and Engineering, 2010
Y Bazilevs, VÍCTOR M Calò, J A Evans
exaly