smoothing splines
$L^{2} $ AND $L^{1} $ CONTROL THEORETIC SMOOTHING SPLINES
... when one face by Gaussian or Laplacian noise. In the year 1964 Schoenberg [16] used smoothing splines for the approximation of noisy data values. Re- formulating this problem to an optimal control problem ...
14
Topics in Application of Nonparametric Smoothing Splines
... and smoothing of Schoenfeld (1982) residuals ...using smoothing splines in a penalized partial likelihood ...the smoothing parameter to be finely tuned according to the true alternative to ...
95
Finite element approximation of minimum generalised cross validation bivariate thin plate smoothing splines
... 188 Quadratic B-spline approxi1nation to the smoothing spline solution on grid 6, generated by the MINGCV algorith1n for the data set sine.dat.. 188 Successive sn1oothing para1neter upda[r] ...
407
Smoothing splines as locally weighted averages
... One interesting side result from this proof is an approximation to the general Green's function using the uniform Green's function and a rescaling of the independent variable that locall[r] ...
22
Pointwise convergence in probability of general smoothing splines
... on [, 1 − ] for every > 0 and each t (the result is valid for the special spline model and penalising the second derivative). Whilst this result gives intuition into how the kernel behaves it does not imply the ...
25
Breitner, Susanne (2007): Time-varying coefficient models and measurement error. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... There are only a few proposals for tests in the context of generalized varying coefficient models, mainly using local likelihood modeling and spline smoothing. Zhang (2004) pro- poses a scaled chi-squared test in ...
170
Deglacial and Holocene vegetation and climatic changes in the southern Central Mediterranean from a direct land–sea correlation
... (2012); MD04-2797CQ pollen percentages and alkenone-SSTs (bold lines: cubic smoothing splines with a degree of freedom adjusted to highlight the centennial-scale changes) with abrupt veg[r] ...
21
An automated baseline correction protocol for infrared spectra of atmospheric aerosols collected on polytetrafluoroethylene (Teflon) filters
... comparing smoothing splines baseline-corrected spectra with uncorrected and poly- nomial baseline (PB)-corrected equivalents via three statisti- cal applications: (1) clustering analysis, (2) functional ...
17
Integration of association statistics over genomic regions using Bayesian adaptive regression splines
... In this spirit, they explored a particular non-parametric regression method called the BARS procedure, and contrasted it with a related method, smoothing splines. Their results suggested that BARS has ...
10
A model for syringe grading based on extracted features from high dimensional friction data
... Features of the syringe friction profiles used in the classification are extracted via smoothing splines and grades of the syringes are assigned by an expert tribologist.. A nonlinear cl[r] ...
36
Genetic and environmental smoothing of lactation curves with cubic splines
... of splines represents a semiparametric ap- proach to the ...cubic smoothing splines are particularly con- venient because they can be incorporated into a suitably constructed mixed ...of ...
8
A review of spline function procedures in R
... Penalised splines can be a great tool to describe complex non-linear ...The smoothing parameter is estimated using local maxi- mum likelihood method (described in [19], and [18]) but there are also other ...
16
Estimation of the Piecewise Exponential Model by Bayesian P Splines via Gibbs Sampling: Robustness and Reliability of Posterior Estimates
... The application of the method on a relatively small case series (sarcoma dataset) yielded both positive and negative results. Concerning the former ones, the estimates of regression coefficients were robust with respect ...
18
Forecasting With Exponential Smoothing Whats The Right Smoothing Constant?
... In the second type, too, demand was normally distributed, but this time with a mean that was a linear function of time. The intercept and slope were arbitrarily picked. The standard deviation of demand was also ...
10
Paper 10-2017-2
... obtained with three models with the fixed smoothing length shown in Fig. 10 is independent of the interparticle distance h ; instead the damage zone within the three models was constant and equal to 4h , which ...
10
Numerical Solution of Tenth Order Boundary Value Problems by Petrov Galerkin Method with Quintic B splines as Basis Functions and Sextic B Splines as Weight Functions
... In this paper, we have employed a Petrov-Galerkin method with quintic B-splines as basis functions and sextic B-splines as weight functions to solve a general tenth order boundary value problem with special ...
8
Intermittent Demand Forecasting in the Case of Medical Apparatus by Improving Forecasting Accuracy
... Analysis procedure is as follows. There are 36 monthly data for each case. We use 24 data (1 to 24) and remove trend by the method stated in 3. Then we calculate monthly ratio by the method stated in 4. After removing ...
10
Principal Components Analysis with Spline Optimal Transformations for Continuous Data
... Applying qlPCA involves trying out different options regarding spline’s order and the number of interior knots. Linear splines have several advantages (see next section) but the user can always try higher order ...
9
Splines in Compressed Sensing
... of splines in signal and image ...using splines, and polynomial splines can be constructed from B-spline basis ...of splines are detailed such as polynomial, exponential, and double ...
8
Polynomial spline-approximation of Clarke's model
... Local splines with optimal spline coefficients require the Doppler spread to be known or estimated; this is an addi- tional disadvantage of optimal local ...extrapolation splines with weight coefficients ...
12