Zobrazeno 1 - 10
of 69
pro vyhledávání: '"J. M. Marriott"'
Publikováno v:
Computational Statistics & Data Analysis. 54:2707-2720
The use of techniques of exploratory data analysis and model criticism represent important stages in many statistical investigations. One of the attractive features of a Bayesian analysis is that it can lend itself well to graphical summary. To produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::705895099aa16d98229433f9cc601cd2
https://doi.org/10.1016/j.csda.2009.02.023
https://doi.org/10.1016/j.csda.2009.02.023
Publikováno v:
The Econometrics Journal. 6:124-145
Summary Many macroeconomic time series exhibit non-stationary behaviour. Whenmodelling such series an important problem is to assess the nature of this non-stationarybehaviour. Initial interest centred on two types of linear non-stationary models, na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3192aff7603a3e339f2d277b5b4de8ac
https://doi.org/10.1111/1368-423x.00105
https://doi.org/10.1111/1368-423x.00105
Autor:
J. M. Marriott, Anthony N. Pettitt
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 46:253-264
SUMMARY Bayesian model building techniques are developed for data with a strong time series structure and possibly exogenous explanatory variables that have strong explanatory and predictive power. The emphasis is on finding whether there are any exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46381342918d479485f99858440a3d44
https://doi.org/10.1111/1467-9876.00064
https://doi.org/10.1111/1467-9876.00064
Autor:
Cahill, Liam1 (AUTHOR) liam.cahill@ntu.ac.uk, Leunissen, Joost M.2 (AUTHOR), Marriott, Mike1 (AUTHOR), Dunn, Andrew K.1 (AUTHOR)
Publikováno v:
Europe's Journal of Psychology. Aug2024, Vol. 20 Issue 3, p178-190. 13p.
REPARAMETRIZATION ASPECTS OF NUMERICAL BAYESIAN METHODOLOGY FOR AUTOREGRESSIVE MOVING-AVERAGE MODELS
Autor:
A. F. M. Smith, J. M. Marriott
Publikováno v:
Journal of Time Series Analysis. 13:327-343
Within the context of likelihood and Bayes approaches to inference in autoregressive moving-average (ARMA) time series models, previous ideas on parameter transformation and numerical integration for implementing Bayesian procedures are reviewed. Som
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9901afb00492f8251f624a6d05c2d408
https://doi.org/10.1111/j.1467-9892.1992.tb00111.x
https://doi.org/10.1111/j.1467-9892.1992.tb00111.x
Publikováno v:
Achieving Safety and Reliability with Computer Systems ISBN: 9789401080507
The valuable sets of software reliability data published by John Musa have been extensively used by software reliability modellers, such as Bev Littlewood and John Musa, to illustrate and validate their particular models. Such data are rare in the op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17a2c2d02958b74df69cefd22a25df6e
https://doi.org/10.1007/978-94-009-3461-0_10
https://doi.org/10.1007/978-94-009-3461-0_10
Autor:
J. M. Marriott, A. R. Tremayne
Publikováno v:
The Statistician. 37:187
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6e4855faa8cdf35fae9d5f4a261bd2
https://doi.org/10.2307/2348692
https://doi.org/10.2307/2348692
Autor:
Romero, Juan José1 (AUTHOR), De Rossi, María Cecilia1 (AUTHOR), Oses, Camila1 (AUTHOR), Echegaray, Camila Vázquez1 (AUTHOR), Verneri, Paula1 (AUTHOR), Francia, Marcos1 (AUTHOR), Guberman, Alejandra1,2 (AUTHOR) algub@qb.fcen.uba.ar, Levi, Valeria1,3 (AUTHOR) vlevi12@gmail.com
Publikováno v:
BMC Biology. 1/7/2022, Vol. 20 Issue 1, p1-17. 17p.
Autor:
Izayati Mastor, Nur Nashyiroh, Subbiah, Vijay Kumar, Wan Abu Bakar, Wan Nazirah, Begum, Khurshida, Alam, M. Jahangir, Hoque, Mohammad Zahirul
Publikováno v:
Malaysian Journal of Microbiology; Dec2023, Vol. 19 Issue 6, p628-635, 8p
Autor:
Davies, Neville1 (AUTHOR) neville.davies@plymouth.ac.uk, Sheldon, Neil2 (AUTHOR)
Publikováno v:
Teaching Statistics. Jul2021 Supplement S1, Vol. 43, pS52-S70. 19p.