Results 31 to 40 of about 43,321 (262)
Diagnostics, 2022 Myometrial invasion (MI) is a parameter currently used in transvaginal ultrasound (TVS) in endometrial cancer (EC) to determine local staging; however, without molecular diagnostics, it is insufficient for the selection of high-risk cases, i.e., those ...
Marcin Liro +6 more
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Sketching for Kronecker Product Regression and P-splines
CoRR, 2017 TensorSketch is an oblivious linear sketch introduced in Pagh'13 and later used in Pham, Pagh'13 in the context of SVMs for polynomial kernels. It was shown in Avron, Nguyen, Woodruff'14 that TensorSketch provides a subspace embedding, and therefore can be used for canonical correlation analysis, low rank approximation, and principal component ...
Huaian Diao +3 more
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Multidimensional Adaptive P-Splines with Application to Neurons' Activity Studies
Biometrics, 2022 Abstract The receptive field (RF) of a visual neuron is the region of the space that elicits neuronal responses. It can be mapped using different techniques that allow inferring its spatial and temporal properties. Raw RF maps (RFmaps) are usually noisy, making it difficult to obtain and study important features of the RF.
María Xosé Rodríguez-Álvarez +4 more
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Boosting additive models using component-wise P-Splines [PDF]
Computational Statistics & Data Analysis, 2008 We consider an efficient approximation of Bühlmann & Yu’s L2Boosting algorithm with component-wise smoothing splines. Smoothing spline base-learners are replaced by P-spline base-learners which yield similar prediction errors but are more advantageous from a computational point of view.
Matthias Schmid, Torsten Hothorn
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Pspatreg: R Package for Semiparametric Spatial Autoregressive Models
MathematicsThis article introduces the R package pspatreg, which is publicly available for download from the Comprehensive R Archive Network, for estimating semiparametric spatial econometric penalized spline (P-Spline) models.
Román Mínguez +2 more
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An algorithm for a constrained P-spline
BIT Numerical MathematicsAbstract Regression splines are largely used to investigate and predict data behavior, attracting the interest of mathematicians for their beautiful numerical properties, and of statisticians for their versatility with respect to the applications.
Campagna, Rosanna +4 more
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Vojnosanitetski Pregled, 2019 In the article by Nemanja V. Majstorović, Srdjan P. Živković, Branislav R. Glišić. Dental arch monitoring by splines fitting error during orthodontic treatment using 3D digital models.
Editorial
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Frontiers in Endocrinology, 2022 BackgroundWith the rapid advance in percutaneous coronary intervention (PCI) technology, patients absorb large volume of iodinated contrast media (ICM). Recent studies suggested that ICM may lead to hyperthyroidism, but the association between ICM volume
Yasha Chen +8 more
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Nonparametric Inference in Hidden Markov Models Using P-Splines [PDF]
Biometrics, 2015 Summary Hidden Markov models (HMMs) are flexible time series models in which the distribution of the observations depends on unobserved serially correlated states. The state-dependent distributions in HMMs are usually taken from some class of parametrically specified distributions.
Langrock, Roland +3 more
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Local Asymptotics of P-splines
, 2012 This report studies local asymptotics of P-splines with $p$th degree B-splines and a $m$th order difference penalty. Earlier work with $p$ and $m$ restricted is extended to the general case. Asymptotically, penalized splines are kernel estimators with equivalent kernels depending on $m$, but not on $p$.
Xiao, Luo +3 more
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