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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 ...
State space modeling of long-memory processes
(INST MATHEMATICAL STATISTICS, 1998)
This paper develops a state space modeling for long-range dependent data. Although a long-range dependent process has an infinite-dimensional state space representation, it is shown that by using the Kalman filter, the ...
A topological-like model for gravity in 4D space-time
(The European Physical Journal C, 2019)
Electromagnetic form factor of the pion in the space- and time-like regions within the front-form dynamics
(2004-02-12)
The pion electromagnetic form factor is calculated in the space- and time-like regions from -10 (GeV/c)2 up to 10 (GeV/c)2, within a front-form model. The dressed photon vertex where a photon decays in a quark-antiquark ...
On a model for rotational tunneling with a C6 -space-time symmetric analog
(Springer, 2019-08)
We analyze the simple model of a rigid rotor with C3 symmetry and show that the use of parity simplifies considerably the calculation of its eigenvalues. We also consider a non-Hermitian space-time-symmetric counterpart ...
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)
Monte Carlo Test for Stochastic Trend in Space State Models for the Location-Scale Family
(Sociedade Brasileira de Econometria, 2021)