- In
mathematics and statistics, a
stationary process (or a strict/strictly
stationary process or strong/strongly
stationary process) is a
stochastic process...
- 2007.12.020. Fajans, J.; Frièdland, L. (October 2001). "Autoresonant (
nonstationary)
excitation of pendulums, Plutinos, plasmas, and
other nonlinear oscillators"...
- ISBN 978-1-4799-1960-4. S2CID 3947699. Alippi, C. (2014). "Learning in
Nonstationary and
Evolving Environments".
Intelligence for
Embedded Systems. Springer...
- and
nonstationary Navier-Stokes equations. The
nonlinearity of the
convection term is the main
problem in
solving a
stationary or
nonstationary Navier-Stokes...
- in 2003. Her dissertation,
Analysis via Time,
Frequency and
Scale of
Nonstationary Signals, was
supervised by
Andrew T. Walden. She
began her academic...
-
instantaneous frequency data. It is
designed to work well for data that is
nonstationary and nonlinear. In
contrast to
other common transforms like the Fourier...
- Persson, B. N.; Volokitin, A. I (2002). "Theory of
rubber friction:
Nonstationary sliding" (PDF).
Physical Review B. 65 (13): 134106. Bibcode:2002PhRvB...
-
stochastic process {xi, yi} is
stationary and ergodic; if {xi, yi} is
nonstationary, OLS
results are
often spurious unless {xi, yi} is co-integrating. The...
- research.
Statistical modeling for
nonstationary time
series was
developed in the 1990s.
Methods for
nonstationary multivariate extremes have been introduced...
-
models and
which allows to fuse data in
Markovian context and to
model nonstationary data.
Alternative multi-stream data
fusion strategies have also been...
