Zobrazeno 1 - 7
of 7
pro vyhledávání: '"K. D. S. Young"'
Autor:
L. I. Pettit, K. D. S. Young
Publikováno v:
Journal of Time Series Analysis. 27:41-50
We consider the effect, on a Bayes factor, of omitting observations in time-series models. In particular, we study a Bayes factor for deciding between autoregressive models of different orders. Throughout we use Gibbs sampling to estimate the paramet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::293cbbc7d99c86c6777904c47fe76918
https://doi.org/10.1111/j.1467-9892.2005.00449.x
https://doi.org/10.1111/j.1467-9892.2005.00449.x
Publikováno v:
European Journal of Operational Research. 148:152-165
In this paper, we illustrate Bayesian statistical inference for some simple stochastic versions of the Lanchester linear and square laws for combat. We show that, given battle data, Bayesian methods may be used both to predict which side will win the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d527bfe81943952388af5cb15232fbfb
https://doi.org/10.1016/s0377-2217(02)00462-9
https://doi.org/10.1016/s0377-2217(02)00462-9
Publikováno v:
Naval Research Logistics. 47:541-558
We undertake inference for a stochastic form of the Lanchester combat model. In particular, given battle data, we assess the type of battle that occurred and whether or not it makes any difference to the number of casualties if an army is attacking o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b546119fa000ed68ac2ab957263da1d
https://doi.org/10.1002/1520-6750(200010)47:7<541::aid-nav1>3.0.co
https://doi.org/10.1002/1520-6750(200010)47:7<541::aid-nav1>3.0.co
Autor:
L. I. Pettit, K. D. S. Young
Publikováno v:
Journal of the Royal Statistical Society: Series B (Methodological). 58:679-689
In this paper we consider possible measures of the degree of discordancy between a proper prior and observed data. A consideration of the problem when we gain complete knowledge of the parameters suggests that measures based on tail areas are unsuita
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aaec1362c6f788536655995b076f228
https://doi.org/10.1111/j.2517-6161.1996.tb02107.x
https://doi.org/10.1111/j.2517-6161.1996.tb02107.x
Autor:
K. D. S. Young
Publikováno v:
Communications in Statistics - Theory and Methods. 21:1405-1426
A diagnostic for finding groups of observations influential on Bayes factors is discussed, which extends ideas in Pettit & Young (1990). Ways of reducing the combinatorial explosion involved in detecting more than one influential observation are cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8796b31b4858148c84e5ef814d9b1aa6
https://doi.org/10.1080/03610929208830855
https://doi.org/10.1080/03610929208830855
Autor:
L. I. Pettit, K. D. S. Young
Publikováno v:
Biometrika. 77:455-466
SUMMARY In this paper we consider a measure of the effect of single observations on a logarithmic Bayes factor defined via the difference in the logarithms of the Bayes factors conditional first on all the data and then omitting an observation. The m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7d9b78e019f6be65753f531eb20e3a1
https://doi.org/10.1093/biomet/77.3.455
https://doi.org/10.1093/biomet/77.3.455
Autor:
K. D. S. Young
Publikováno v:
The Statistician. 43:129
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c335628ce22ea781bbf2e67a913ce5f
https://doi.org/10.2307/2348938
https://doi.org/10.2307/2348938