Efficient Nonparametric Estimation of 3D Point Cloud Signals through Distributed Learning. [PDF]
Wang G, Wang Y, Gao AS, Wang L.
europepmc +1 more source
Phase-lag mixed integral equation of a generalized symmetric potential kernel and its physical meanings in (3+1) dimensions. [PDF]
Jan AR.
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Variable Selection in Ultra-high Dimensional Feature Space for the Cox Model with Interval-Censored Data. [PDF]
Pak D, Zhang J, Wu D, Weng H, Li C.
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Multiscale detrended cross-correlation coefficient: estimating coupling in non-stationary neurophysiological signals. [PDF]
Stylianou O +6 more
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Inverted-U association between daily steps and WHO-5 in university students: non-linear modeling and robustness checks. [PDF]
Zhang H, Wang S, Huang Y, Xiu L, Wang Y.
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Shape Parameterization and Efficient Optimization Design Method for the Ray-like Underwater Gliders. [PDF]
Zhang D, Zeng D, Zhou H, Bao C, Liu Q.
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TSSS: A Novel Triangulated Spherical Spline Smoothing for Surface-Based Data. [PDF]
Gu Z, Yu S, Wang G, Lai MJ, Wang L.
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q-Bernstein polynomials and their iterates
\(q\)-Bernstein polynomials have been introduced by \textit{G. M. Phillips} [in Numerical Analysis: A. R. Mitchell 75th Birthday Volume, World Scientific, Singapore, 263--269 (1996)]. For \(q=1\) they reduce to the classical Bernstein polynomials. When \(q\) is in \((0,1)\), the corresponding linear operators are positive; several papers deal with this
Sofiya Ostrovska
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Convergence of Generalized Bernstein Polynomials
Let \(f\in C[0,1]\), \(q\in (0,1)\) and \(B_n(f,q;x)\) be generalized Bernstein polynomials based on \(q\)-integers. These polynomials were introduced by G. M. Phillips in 1997. The authors study convergence properties of the sequence \(\{B_n(f,q;x)\}^\infty_{n=1}\).
Sofiya Ostrovska
exaly +3 more sources

