nonlinear functional data analysis
Nonlinear functional regression: a functional RKHS approach
... typical functional data and re- lated statistical tasks, figure 1 presents temperature and precipitation curves observed at 35 weather sta- tions of Canada (Ramsay and Silverman, 2005) where the goal is to ...
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Stability analysis of some classes of input-affine nonlinear systems with aperiodic sampled-data control
... The problem is more challenging in the nonlinear case [32,26]. We cite as follows some recent works. In [34], the authors specialized the results on generic Net- worked Control Systems (NCSs) for the particular ...
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Nonlinear Impulsive Systems: 2D Stability Analysis Approach
... stability analysis framework of impulsive systems an important effort has been made for linear ...A functional-based approach is developed for stability analysis in ...for nonlinear ...
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Cardiac Motion Evolution Model for Analysis of Functional Changes Using Tensor Decomposition and Cross-Sectional Data
... The nonlinear iterative partial least squares (NIPALS) method [39] computes the factors iteratively by computing the first (most dominant) factor, and removing this from the data matrix X, to subsequently ...
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General Framework for Nonlinear Functional Regression with Reproducing Kernel Hilbert Spaces
... for Nonlinear Functional Regression 3 1 Introduction Observing and saving complete functions as a result of random experiments is nowadays possible by the development of real-time measurement instruments ...
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Geometric Nonlinear Analysis of Timoshenko Beams
... The analysis of a common geometric nonlinearity encountered in structural mechanics is dealt with in the second part of the ...to nonlinear analysis is provided, while the geometric non- linearity is ...
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Cross-study analysis of genomic data defines the ciliate multigenic epiplasmin family: strategies for functional analysis in Paramecium tetraurelia.
... Background Because of their asymmetrical and polarized cortical pat- tern, ciliated protozoans have long been interesting mod- els for analysis of molecular mechanisms involved in cellular morphogenesis. ...
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Dynamic analysis of nonlinear elastic materials
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ...
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Analysis of nonlinear behavior on honeycomb cores
... Figure 3: Test results: a) Average shear stress vs gamma curves, b) Failure scenario of the double lap specimen Six more specimens were submitted to charging and discharging conditions. At every cycle the maximal imposed ...
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Nonlinear analysis with endlessly continuable functions
... Shingo Kamimoto and David Sauzin Abstract We give estimates for the convolution product of an arbitrary number of endlessly con- tinuable functions. This allows us to deal with nonlinear operations for the ...
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Rostral and caudal prefrontal contribution to creativity: a meta-analysis of functional imaging data
... existing functional imaging data by using the meta-analysis ...34 functional imaging studies that reported activation foci during tasks assumed to engage creative thinking in healthy ...
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Functional feasibility analysis of variability-intensive data flow-oriented applications over highly-configurable platforms
... in data-flow oriented ones, which are now systematically built from highly variable spec- ifications and target diverse hardware platforms configurable at a very high level of ...early functional assessment ...
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Derived Categories for Functional Analysis
... In this paper, we study the homological algebra of the category 7c of locally convex topological vector spaces from the point of view of derived categories. We start by showing that 7c i[r] ...
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Patent data analysis
... patent analysis are effective. In patent data analysis, we used both statistical models (models based on LDA) and a deep learning model ...of data for ...
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Conditional functional principal components analysis
... the data) for a time period restricted to the first 50 days of egg laying, conditional on the covariate X which is the total number of eggs laid during the ...
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Nonlinear analysis methods in neural field models
... in-depth analysis of the values of delays and connectivity properties giving rise to oscillatory behavior has yet to be ...the nonlinear stability has been studied in two papers [ Roxin 2011 , Venkov 2007 ...
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NONLINEAR REDUNDANCY ANALYSIS AND CANONICAL CORRESPONDENCE ANALYSIS BASED ON POLYNOMIAL REGRESSION
... the analysis is no longer a linear combination of the explanatory variables in X, but their polynomial ...composition data rarely meet the assumptions of the species response models which are implicit in ...
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Nonlinear Regression Operating on Microstructures Described from Topological Data Analysis for the Real-Time Prediction of Effective Properties
... Intelligence Data bursts within engineering disciplines. For years, data was used in other areas where models were less developed or remained quite ...inaccurate. Data collected massively was ...
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Contraction analysis of nonlinear random dynamical systems
... contraction analysis into the very fruitful and topical fields of stochastic and Bayesian systems, we extend here the theory describes in [Lohmiller and Slotine, 1998] to random differential ...
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Application of Functional Data Analysis to Identify Patterns of Malaria Incidence, to Guide Targeted Control Strategies
... in-depth analysis of their velocities and accelerations showed that the acceleration of phase decline (DE) was not direct on these seasonal epidemics, since they were disrupted by a small slowdown phase ...
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