Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Jonathan A. Tawn"'
Publikováno v:
Hydrology Research, Vol 55, Iss 2, Pp 205-220 (2024)
Non-stationary methods of flood frequency analysis are widespread in research but rarely implemented by practitioners. One reason may be that research papers on non-stationary statistical models tend to focus on model fitting rather than extracting t
Externí odkaz:
https://doaj.org/article/b6f0cccedfd040a088bb3cff559d114b
Non-stationary methods of flood frequency analysis are widespread in research but rarely implemented by practitioners who manage flood risk. One reason for this may be that research papers on non-stationary statistical models tend to focus on model f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90311eb86463a25bdfbfbb9737befdf9
https://doi.org/10.5194/hess-2022-401
https://doi.org/10.5194/hess-2022-401
Publikováno v:
Journal of the American Statistical Association. :1-12
There currently exist a variety of statistical methods for modeling bivariate extremes. However, when the dependence between variables is driven by more than one latent process, these methods are likely to fail to give reliable inferences. We conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ac9a19feddf996dd005ca4de908ce53
https://doi.org/10.1080/01621459.2021.1996379
https://doi.org/10.1080/01621459.2021.1996379
Publikováno v:
Water; Volume 14; Issue 19; Pages: 2956
Extreme sea level estimates are fundamental for mitigating coastal flooding as they provide insight for defence engineering. As the global climate changes, rising sea levels combined with increases in storm intensity and frequency pose an increasing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd4ca5d08fcfc938cb8be66c779569b6
https://doi.org/10.3390/w14192956
https://doi.org/10.3390/w14192956
Autor:
Jonathan A. Tawn, Christian Rohrbeck
Publikováno v:
Rohrbeck, C & Tawn, J 2021, ' Bayesian spatial clustering of extremal behaviour for hydrological variables ', Journal of Computational and Graphical Statistics, vol. 30, no. 1, pp. 91-105 . https://doi.org/10.1080/10618600.2020.1777139
To address the need for efficient inference for a range of hydrological extreme value problems, spatial pooling of information is the standard approach for marginal tail estimation. We propose the first extreme value spatial clustering methods which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42931a232cc01129ace33ce76454b2f2
https://doi.org/10.1080/10618600.2020.1777139
https://doi.org/10.1080/10618600.2020.1777139
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 69:765-789
Summary There is a propensity for an extreme value analysis to be conducted as a consequence of a large flooding event. This timing of the analysis introduces bias and poor coverage probabilities into the associated risk assessments and leads subsequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa59ee9fa8443acac93700e71fd5e08a
https://doi.org/10.1111/rssc.12420
https://doi.org/10.1111/rssc.12420
Publikováno v:
Biometrika. 107:513-532
Summary In multivariate extreme value analysis, the nature of the extremal dependence between variables should be considered when selecting appropriate statistical models. Interest often lies in determining which subsets of variables can take their l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bbacb140da1313a1dd2a3bc424b6290
https://doi.org/10.1093/biomet/asaa018
https://doi.org/10.1093/biomet/asaa018
Although most models for rainfall extremes focus on point-wise values, it is aggregated precipitation over areas up to river catchment scale that is of the most interest. To capture the joint behaviour of precipitation aggregates evaluated at differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cb0c7fa6771025548f9bdc00a190655
http://arxiv.org/abs/2111.08469
http://arxiv.org/abs/2111.08469
Autor:
Jordan Richards, Jonathan A. Tawn
Publikováno v:
Journal of Multivariate Analysis. 192:105065
In many areas of interest, modern risk assessment requires estimation of the extremal behaviour of sums of random variables. We derive the first order upper-tail behaviour of the weighted sum of bivariate random variables under weak assumptions on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d354745f4838fb50d12ed7f19698601c
https://doi.org/10.1016/j.jmva.2022.105065
https://doi.org/10.1016/j.jmva.2022.105065
Physical considerations and previous studies suggest that extremal dependence between ocean storm severity at two locations exhibits near asymptotic dependence at short inter-location distances, leading to asymptotic independence and perfect independ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::189d13ef6fd1da362a75d7e959475490
https://doi.org/10.1007/s10687-020-00389-w
https://doi.org/10.1007/s10687-020-00389-w