Results 101 to 110 of about 70,459 (296)
Mixed interpolating–smoothing splines and the ν-spline
Let \(X\), \(Y\), \(Z_{1}\) and \(Z_{2}\) be Hilbert spaces with inner products \(\langle\;,\;\rangle_{X}\), \(\langle\;,\;\rangle_{Y}\), \(\langle\;,\;\rangle_{Z_{1}}\) and \(\langle\;,\;\rangle_{Z_{2}}\) respectively, and let \(T:X\rightarrow Y\), \(\Lambda _{1}:X\rightarrow Z_{1}\), \(\Lambda _{2}:X\rightarrow Z_{2}\) and \(\pi :Z_{2}\rightarrow Z_ ...
openaire +2 more sources
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
We propose a generalized partially linear functional single index risk score model for repeatedly measured outcomes where the index itself is a function of time.
Jiang, Fei, Ma, Yanyuan, Wang, Yuanjia
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Spatial distribution of acoustic traits in bird assemblages along regional bioclimatic gradients
Environmental variation shapes acoustic interactions among birds, creating spatial structures in the sonic signature of local species assemblages. Exploring these patterns at regional scales can reveal processes that segregate acoustic strategies along environmental gradients.
Michela Busana +11 more
wiley +1 more source
Splines in convex sets under constraints of two‐sided inequality type in a hyperplane
The problem of minimization of a smoothing functional under inequality constraints is considered in a hyperplane. The conditions of the existence of a solution are obtained and some properties of this solution are investigated.
Svetlana Asmuss
doaj +1 more source
Automatic, computer aided geometric design of free-knot, regression splines [PDF]
A new algorithm for Computer Aided Geometric Design of least squares (LS) splines with variable knots, named GeDS, is presented. It is based on interpreting functional spline regression as a parametric B-spline curve, and on using the shape preserving ...
Dimitrova, D. S. +3 more
core
A first‐of‐its‐kind review benchmarks three solar methane valorization pathways with unified performance metrics for clean fuel production. Meeting global climate targets and sustainable energy demands requires carbon‐neutral fuels and innovative conversion pathways.
Muhammad Abdulmoez +3 more
wiley +1 more source
S-estimation for penalized regression splines. [PDF]
This paper is about S-estimation for penalized regression splines. Penalized regression splines are one of the currently most used methods for smoothing noisy data. The estimation method used for fitting such a penalized regression spline model is mostly
Claeskens, Gerda +3 more
core
Computational Limits of A Distributed Algorithm For Smoothing Spline [PDF]
In this paper, we explore statistical versus computational trade-off to address a basic question in the application of a distributed algorithm: what is the minimal computational cost in obtaining statistical optimality?
Cheng, Guang, Shang, Zuofeng
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Bivariate Quantile Smoothing Splines
Summary It has long been recognized that the mean provides an inadequate summary whereas the set of quantiles can supply a more complete description of a sample. We introduce bivariate quantile smoothing splines, which belong to the space of bilinear tensor product splines, as nonparametric estimators for the conditional quantile ...
He, Xuming, Ng, Pin, Portnoy, Stephen
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