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Exploring the processes of firm growth: evidence from a vector auto-regression
Industrial and Corporate Change, 2010This article offers many new insights into the processes of firm growth by applying a vector autoregression model to longitudinal panel data on French manufacturing firms. We observe the coevolution of key variables such as growth of employment, sales, gross operating surplus, and labor productivity growth.
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About First Order Geometric Auto Regressive Processes for Boundary Layer Wind Speed Simulation
2009Under certain conditions the first order geometric auto regressive process has statistical properties similar to atmospheric boundary layer wind speed. In this contribution, we investigate this similarity and analyse the extent to which this stochastic process is a suitable model for wind speed simulation.
Laubrich, T., Kantz, H.
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Estimation of possibly non-stationary first-order auto-regressive processes
2016This paper inspects a grid search algorithm to estimate the AR(1) process, based on the joint estimation of the canonical AR(1) equation along with its reverse form. The method relies on the GLS principle, accounting for the covariance error structure of the special estimable system.
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Concurrent auto-regressive latent variable model for dynamic anomaly detection
Journal of Process Control, 2021Bo Xu, Qinqin Zhu
exaly
Modeling the dynamics of PDE systems with physics-constrained deep auto-regressive networks
Journal of Computational Physics, 2020Nicholas Geneva, Nicholas Zabaras
exaly
Auto-Regressive Integrated Moving-Average Machine Learning for Damage Identification of Steel Frames
Applied Sciences (Switzerland), 2021Yuqing Gao, Khalid M Mosalam, Wei Wang
exaly
Auto-regressive model based input and parameter estimation for nonlinear finite element models
Mechanical Systems and Signal Processing, 2020Rodrigo Astroza +2 more
exaly