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Discrete-time autoregressive model for unequally spaced time-series observations.
Most time-series models assume that the data come from observations that are equally spaced in time. However, this assumption does not hold in many diverse scientific fields, such as astronomy, finance, and climatology, ...
Discrete-time autoregressive model for unequally spaced time-series observations.
Most time-series models assume that the data come from observations that are equally spaced in time. However, this assumption does not hold in many diverse scientific fields, such as astronomy, finance, and climatology, ...
A reduced order state space model for aeroelastic analysis in time domain
(2017-02-01)
The objective of this paper is to describe a new method for modeling aeroelastic system in time domain based on a modification of the Laguerre Polynomials to represent complex quantities. These polynomials are used to ...
TRAVELLING THROUGH PITCH SPACE SPEEDS UP MUSICAL TIME
(UNIV CALIFORNIA PRESS, 2009)
SEVERAL MODELS OF TIME ESTIMATION HAVE BEEN developed in psychology; a few have been applied to music. In the present study, we assess the influence of the distances travelled through pitch space on retrospective time ...
Space Mapping Technology with Applications in EM-based Device Modeling and Statistical Design
(IEEE MTT-S International Microwave Symposium, 2013)
Fock space for fermion-like lattices and the linear Glauber model
(ELSEVIER SCIENCE BV, 2008)
The concept of Fock space representation is developed to deal with stochastic spin lattices written in terms of fermion operators. A density operator is introduced in order to follow in parallel the developments of the ...
ON THE NONLINEAR ESTIMATION OF GARCH MODELS. USING AN EXTENDED KALMAN FILTERPROCEEDINGS OF THE WORLD CONGRESS ON ENGINEERING
(INTERNATIONAL ASSOCIATION OF ENGINEERS, 2016)