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Statistical models underlying functions of 'smooth' package for R [PDF]
In this paper we describe statistical models underlying functions of “smooth” package for R and show the connection between each of the parameters in functions and variables in those models. Aside from discussing conventional state-space models, we introduce several new models and discuss their properties.
openaire
Cyclic GMP Phosphodiesterases and Regulation of Smooth Muscle Function
Circulation Research, 2003Sergei D Rybalkin +2 more
exaly
Global qualitative analysis of a non-smooth Gause predator–prey model with a refuge
, 2013Sanyi Tang, Juhua Liang
semanticscholar +1 more source
A Smooth Transition Model for Multiple-Regime Time Series
IEEE Transactions on Signal Processing, 2013Florent Chatelain, Nadine Martin
exaly
A PDE Model for Smooth Surface Reconstruction from 2D Parallel Slices
IEEE Signal Processing Letters, 2020Qing Zou
exaly
Distributed Subgradient Methods for Multi-Agent Optimization
IEEE Transactions on Automatic Control, 2009A. Nedić, A. Ozdaglar
semanticscholar +1 more source
On a phenomenological model for active smooth muscle contraction
Journal of Biomechanics, 2011Markus Bol
exaly

