Wearable Assessment of Nonlinear Gait Stability Identifies Fall History in Older Women
Amirpourabasi A +3 more
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Generalized Nonlinear Modeling With Multivariate Free-Knot Regression Splines
A Bayesian method is presented for the nonparametric modeling of univariate and multivariate non-Gaussian response data. Data-adaptive multivariate regression splines are used where the number and location of the knot points are treated as random.
B K Mallick
exaly +3 more sources
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Asymptotic Confidence Bands for Generalized Nonlinear Regression Models
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A general framework for robust compressive sensing based nonlinear regression
2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012In this paper, we present a general framework for robust nonlinear regression that leverages concepts from the field of compressive sensing to simultaneously detect outliers and determine optimally sparse representations of noisy data from arbitrary sets of basis functions.
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Structural identifiability of generalized constraint neural network models for nonlinear regression
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Generalized Linear and Nonlinear Regression
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