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About the posterior distribution in hidden Markov models wi..:
GASSIAT, ELISABETH
;
ROUSSEAU, JUDITH
Bernoulli. 20 (2014) 4 - p. 2039-2075 , 2014
Link:
https://www.jstor.org/stable/43590432
RT Journal T1
About the posterior distribution in hidden Markov models with unknown number of states
UL https://suche.suub.uni-bremen.de/peid=jstor-43590432&Exemplar=1&LAN=DE A1 GASSIAT, ELISABETH A1 ROUSSEAU, JUDITH PB International Statistical Institute and Bernoulli Society for Mathematical Statistics and Probability YR 2014 SN 1350-7265 SN 1573-9759 K1 Mathematics K1 Pure mathematics K1 Probability theory K1 Random variables K1 Stochastic processes K1 Markov processes K1 Markov chains K1 Stochastic models K1 Markov models K1 Discrete mathematics K1 Number theory K1 Numbers K1 Real numbers K1 Rational numbers K1 Integers K1 Philosophy K1 Logic K1 Logical topics K1 Formal logic K1 Mathematical logic K1 Mathematical set theory K1 Transfinite numbers K1 Infinity K1 Mathematical expressions K1 Mathematical theorems K1 Applied sciences K1 Systems science K1 Systems theory K1 Dynamical systems K1 Ergodic theory K1 Applied mathematics K1 Statistics K1 Applied statistics K1 Inferential statistics K1 Statistical estimation K1 Estimation methods K1 Estimators K1 Consistent estimators K1 Algebra K1 Polynomials K1 Physical sciences K1 Physics K1 Mechanics K1 Density K1 Statistical models K1 Time series models JF Bernoulli VO 20 IS 4 SP 2039 OP 2075 LK http://dx.doi.org/https://www.jstor.org/stable/43590432 DO https://www.jstor.org/stable/43590432 SF ELIB - SuUB Bremen
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