The Experts below are selected from a list of 42453 Experts worldwide ranked by ideXlab platform
Hiroyuki Kurota - One of the best experts on this subject based on the ideXlab platform.
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a sequential Bayesian Methodology to estimate movement and exploitation rates using electronic and conventional tag data application to atlantic bluefin tuna thunnus thynnus
Canadian Journal of Fisheries and Aquatic Sciences, 2009Co-Authors: Hiroyuki Kurota, Murdoch K Mcallister, Gareth L Lawson, Jacob Nogueiraj I I Nogueira, Steven L H TeoAbstract:This paper presents a Bayesian Methodology to estimate fishing mortality rates and transoceanic migration rates of highly migratory pelagic fishes that integrates multiple sources of tagging data a...
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a sequential Bayesian Methodology to estimate movement and exploitation rates using electronic and conventional tag data application to atlantic bluefin tuna thunnus thynnus
Canadian Journal of Fisheries and Aquatic Sciences, 2009Co-Authors: Hiroyuki Kurota, Murdoch K Mcallister, Gareth L Lawson, Jacob Nogueiraj I I Nogueira, Barbara A BlockAbstract:This paper presents a Bayesian Methodology to estimate fishing mortality rates and transoceanic migration rates of highly migratory pelagic fishes that integrates multiple sources of tagging data and auxiliary information from prior knowledge. Exploitation rates and movement rates for Atlantic bluefin tuna (Thunnus thynnus) are estimated by fitting a spatially structured model to three types of data obtained from pop-up satellite, archival, and conventional tags for the period 1990–2006 in the western North Atlantic. A sequential Bayesian statistical approach is applied in which the key components of the model are separated and fitted sequentially to data sets pertinent to each component with the posterior probability density function (pdf) of parameters from one analysis serving as the prior pdf for the next. The approach sequentially updates the estimates of age-specific fishing mortality rates (F) and transoceanic movement rates (T). Estimates of recent F are higher than the estimated rate of natural m...
Barbara A Block - One of the best experts on this subject based on the ideXlab platform.
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a sequential Bayesian Methodology to estimate movement and exploitation rates using electronic and conventional tag data application to atlantic bluefin tuna thunnus thynnus
Canadian Journal of Fisheries and Aquatic Sciences, 2009Co-Authors: Hiroyuki Kurota, Murdoch K Mcallister, Gareth L Lawson, Jacob Nogueiraj I I Nogueira, Barbara A BlockAbstract:This paper presents a Bayesian Methodology to estimate fishing mortality rates and transoceanic migration rates of highly migratory pelagic fishes that integrates multiple sources of tagging data and auxiliary information from prior knowledge. Exploitation rates and movement rates for Atlantic bluefin tuna (Thunnus thynnus) are estimated by fitting a spatially structured model to three types of data obtained from pop-up satellite, archival, and conventional tags for the period 1990–2006 in the western North Atlantic. A sequential Bayesian statistical approach is applied in which the key components of the model are separated and fitted sequentially to data sets pertinent to each component with the posterior probability density function (pdf) of parameters from one analysis serving as the prior pdf for the next. The approach sequentially updates the estimates of age-specific fishing mortality rates (F) and transoceanic movement rates (T). Estimates of recent F are higher than the estimated rate of natural m...
Alicia L. Carriquiry - One of the best experts on this subject based on the ideXlab platform.
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Bayesian logistic regression of soybean sclerotinia stem rot prevalence in the u.s. North-central region: accounting for uncertainty in parameter estimation.
Phytopathology, 2003Co-Authors: A. L. Mila, Xiao-bing Yang, Alicia L. CarriquiryAbstract:Bayesian ideas have recently gained considerable ground in several scientific fields mainly due to the rapid progress in computing resources. Nevertheless, in plant epidemiology, Bayesian Methodology is not yet commonly discussed or applied. Results of a logistic regression analysis of a 4-year data set collected between 1995 and 1998 on soybean Sclerotinia stem rot (SSR) prevalence in the north-central region of the United States were reexamined with Bayesian Methodology. The objective of this study was to use Bayesian Methodology to explore the level of uncertainty associated with the parameter estimates derived from the logistic regression analysis of SSR prevalence. Our results suggest that the 4-year data set used in the logistic regression analysis of SSR prevalence in the north-central region of the United States may not be informative enough to produce reliable estimates of the effect of some explanatory variables on SSR prevalence. Such confident estimations are necessary for deriving robust conclusions and high quality predictions.
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New Thesis Research Contributions to Plant Disease Epidemiology Bayesian Logistic Regression of Soybean Sclerotinia Stem Rot Prevalence in the U.S. North-Central Region: Accounting for Uncertainty in Parameter Estimation
2003Co-Authors: A. L. Mila, Xiao-bing Yang, Alicia L. CarriquiryAbstract:Mila, A. L., Yang, X. B., and Carriquiry, A. L. 2003. Bayesian logistic regression of soybean Sclerotinia stem rot prevalence in the U.S. northcentral region: Accounting for uncertainty in parameter estimation. Phytopathology 93:758-764. Bayesian ideas have recently gained considerable ground in several scientific fields mainly due to the rapid progress in computing resources. Nevertheless, in plant epidemiology, Bayesian Methodology is not yet commonly discussed or applied. Results of a logistic regression analysis of a 4-year data set collected between 1995 and 1998 on soybean Sclerotinia stem rot (SSR) prevalence in the north-central region of the United States were reexamined with Bayesian Methodology. The objective of this study was to use Bayesian Methodology to explore the level of uncertainty associated with the parameter estimates derived from the logistic regression analysis of SSR prevalence. Our results suggest that the 4-year data set used in the logistic regression analysis of SSR prevalence in the north-central region of the United States may not be informative enough to produce reliable estimates of the effect of some explanatory variables on SSR prevalence. Such confident estimations are necessary for deriving robust conclusions and high quality predictions.
Murdoch K Mcallister - One of the best experts on this subject based on the ideXlab platform.
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a sequential Bayesian Methodology to estimate movement and exploitation rates using electronic and conventional tag data application to atlantic bluefin tuna thunnus thynnus
Canadian Journal of Fisheries and Aquatic Sciences, 2009Co-Authors: Hiroyuki Kurota, Murdoch K Mcallister, Gareth L Lawson, Jacob Nogueiraj I I Nogueira, Steven L H TeoAbstract:This paper presents a Bayesian Methodology to estimate fishing mortality rates and transoceanic migration rates of highly migratory pelagic fishes that integrates multiple sources of tagging data a...
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a sequential Bayesian Methodology to estimate movement and exploitation rates using electronic and conventional tag data application to atlantic bluefin tuna thunnus thynnus
Canadian Journal of Fisheries and Aquatic Sciences, 2009Co-Authors: Hiroyuki Kurota, Murdoch K Mcallister, Gareth L Lawson, Jacob Nogueiraj I I Nogueira, Barbara A BlockAbstract:This paper presents a Bayesian Methodology to estimate fishing mortality rates and transoceanic migration rates of highly migratory pelagic fishes that integrates multiple sources of tagging data and auxiliary information from prior knowledge. Exploitation rates and movement rates for Atlantic bluefin tuna (Thunnus thynnus) are estimated by fitting a spatially structured model to three types of data obtained from pop-up satellite, archival, and conventional tags for the period 1990–2006 in the western North Atlantic. A sequential Bayesian statistical approach is applied in which the key components of the model are separated and fitted sequentially to data sets pertinent to each component with the posterior probability density function (pdf) of parameters from one analysis serving as the prior pdf for the next. The approach sequentially updates the estimates of age-specific fishing mortality rates (F) and transoceanic movement rates (T). Estimates of recent F are higher than the estimated rate of natural m...
Gareth L Lawson - One of the best experts on this subject based on the ideXlab platform.
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a sequential Bayesian Methodology to estimate movement and exploitation rates using electronic and conventional tag data application to atlantic bluefin tuna thunnus thynnus
Canadian Journal of Fisheries and Aquatic Sciences, 2009Co-Authors: Hiroyuki Kurota, Murdoch K Mcallister, Gareth L Lawson, Jacob Nogueiraj I I Nogueira, Steven L H TeoAbstract:This paper presents a Bayesian Methodology to estimate fishing mortality rates and transoceanic migration rates of highly migratory pelagic fishes that integrates multiple sources of tagging data a...
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a sequential Bayesian Methodology to estimate movement and exploitation rates using electronic and conventional tag data application to atlantic bluefin tuna thunnus thynnus
Canadian Journal of Fisheries and Aquatic Sciences, 2009Co-Authors: Hiroyuki Kurota, Murdoch K Mcallister, Gareth L Lawson, Jacob Nogueiraj I I Nogueira, Barbara A BlockAbstract:This paper presents a Bayesian Methodology to estimate fishing mortality rates and transoceanic migration rates of highly migratory pelagic fishes that integrates multiple sources of tagging data and auxiliary information from prior knowledge. Exploitation rates and movement rates for Atlantic bluefin tuna (Thunnus thynnus) are estimated by fitting a spatially structured model to three types of data obtained from pop-up satellite, archival, and conventional tags for the period 1990–2006 in the western North Atlantic. A sequential Bayesian statistical approach is applied in which the key components of the model are separated and fitted sequentially to data sets pertinent to each component with the posterior probability density function (pdf) of parameters from one analysis serving as the prior pdf for the next. The approach sequentially updates the estimates of age-specific fishing mortality rates (F) and transoceanic movement rates (T). Estimates of recent F are higher than the estimated rate of natural m...
