Results 21 to 30 of about 1,351,383 (295)
Regression with Ordered Predictors via Ordinal Smoothing Splines
Frontiers in Applied Mathematics and Statistics, 2017 Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables ...
Nathaniel E. Helwig, Nathaniel E. Helwig
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A multiobjective path-smoothing algorithm based on node adjustment and turn-smoothing
Measurement + Control, 2023 Presently, mobile robots experience problems of time consumption, poor security, and high computational complexity in global path-smoothing algorithms.
Ning Cao +3 more
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Point Set Denoising Using Bootstrap-Based Radial Basis Function. [PDF]
PLoS ONE, 2016 This paper examines the application of a bootstrap test error estimation of radial basis functions, specifically thin-plate spline fitting, in surface smoothing.
Khang Jie Liew +2 more
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Smoothing under Diffeomorphic Constraints with Homeomorphic Splines [PDF]
, 2010 In this paper we introduce a new class of diffeomorphic smoothers based on general spline smoothing techniques and on the use of some tools that have been recently developed in the context of image warping to compute smooth diffeomorphisms.
Gadat, Sébastien, Bigot, Jérémie
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IOP Conference Series: Materials Science and Engineering, 2019 Linearity assumption that has not been fulfilled in the path analysis should use nonparametric approach. This research uses smoothing spline nonparametric path analysis with generated data where the condition of heteroscedasticity level measured through ...
Adji Achmad Rinaldo Fernandes +7 more
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IET Radar, Sonar & Navigation, 2022 Smoothing process can effectively improve the accuracy of the Global Navigation Satellite System (GNSS) position estimation algorithm. In this study, a Doppler‐aided GNSS position estimation algorithm with a B‐spline smoothing strategy is proposed.
Jieyi Sun, Yongqing Wang, Yuyao Shen
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Journal of Physics: Conference Series, 2018 The functions which describe relationship of more than one response variables observed at several values of the predictor variables in which there are correlations among the responses can be estimated by using a multi-response nonparametric regression ...
B. Lestari +3 more
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Spline- and tensor-based signal reconstruction : from structure analysis to high-performance algorithms to multiplatform implementations and medical applications [PDF]
, 2015 The problem of signal reconstruction is of fundamental practical value for many applications associated with the field of signal and image processing.
Morozov, Oleksii
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Jurnal Matematika Statistika dan Komputasi, 2018 Regression model of bi-respond nonparametric is a regression model which is illustrating of the connection pattern between respond variable and one or more predictor variables, where between first respond and second respond have correlation each other ...
Budi Lestari
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Parametrization and penalties in spline models with an application to survival analysis [PDF]
, 2008 A simple parametrization, built from the definition of cubic splines, is shown to facilitate the implementation and interpretation of penalized spline models, whatever configuration of knots is used.
Costa, Maria J. (Maria João) +1 more
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