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Generalized Adaptive Exponential Smoothing of Observations ..:

Herkenrath, Ulrich
Journal of Applied Probability. 36 (1999) 4 - p. 987-998 , 1999

Link: https://www.jstor.org/stable/3215572

RT Journal
T1 <Title>Generalized Adaptive Exponential Smoothing of Observations from an Ergodic Hidden Markov Model</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-3215572&Exemplar=1&LAN=DE
				
A1 Herkenrath, Ulrich
PB Applied Probability Trust
YR 1999
SN 0021-9002
K1 Smoothing of Non-Linear Time Series
K1 Generalized Exponential Smoothing
K1 Hidden Markov Models
K1 Convergent Inhomogeneous Markov Processes
K1 Applied sciences
K1 Systems science
K1 Systems theory
K1 Dynamical systems
K1 Ergodic theory
K1 Mathematics
K1 Pure mathematics
K1 Probability theory
K1 Random variables
K1 Stochastic processes
K1 Markov processes
K1 Probabilities
K1 Transition probabilities
K1 Stochastic models
K1 Markov models
K1 Information science
K1 Data products
K1 Datasets
K1 Time series
K1 Applied mathematics
K1 Statistics
K1 Statistical theories
K1 Central limit theorem
K1 Law of large numbers
K1 Mathematical objects
K1 Mathematical sequences
K1 Philosophy
K1 Applied philosophy
K1 Philosophy of mathematics
K1 Mathematical concepts
K1 Mathematical expressions
K1 Mathematical theorems
JF Journal of Applied Probability
VO 36
IS 4
SP 987
OP 998
LK http://dx.doi.org/https://www.jstor.org/stable/3215572
DO https://www.jstor.org/stable/3215572
SF ELIB - SuUB Bremen

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