Discussion of the paper by Durbin and Koopman on "Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives"

Sylvia Frühwirth-Schnatter

Discussion of the paper by Durbin and Koopman on "Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives"

Sylvia Frühwirth-Schnatter

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	43-44
Number of pages	2
Journal	Journal of the Royal Statistical Society, Series B (Statistical Methodology)
Volume	62
Publication status	Published - 2000

Fields of science

101029 Mathematical statistics
101 Mathematics
103 Physics, Astronomy
105 Geosciences
305 Other Human Medicine, Health Sciences
504 Sociology
106 Biology
502 Economics
509 Other Social Sciences

Cite this

@article{79f9ffb1bb844c418eea963620fcae6f,

title = "Discussion of the paper by Durbin and Koopman on {"}Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives{"}",

author = "Sylvia Fr{\"u}hwirth-Schnatter",

year = "2000",

language = "English",

volume = "62",

pages = "43--44",

journal = "Journal of the Royal Statistical Society, Series B (Statistical Methodology)",

issn = "1369-7412",

}

Discussion of the paper by Durbin and Koopman on "Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives". / Frühwirth-Schnatter, Sylvia.
In: Journal of the Royal Statistical Society, Series B (Statistical Methodology), Vol. 62, 2000, p. 43-44.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Discussion of the paper by Durbin and Koopman on "Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives"

AU - Frühwirth-Schnatter, Sylvia

PY - 2000

Y1 - 2000

UR - http://www.ifas.jku.at

M3 - Article

SN - 1369-7412

VL - 62

SP - 43

EP - 44

JO - Journal of the Royal Statistical Society, Series B (Statistical Methodology)

JF - Journal of the Royal Statistical Society, Series B (Statistical Methodology)

ER -

Discussion of the paper by Durbin and Koopman on "Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives"

Fields of science

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