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Multicriterion Decision Merging: Competitive Development of an Aboriginal Whaling Management Procedure

多准则决策合并:原住民捕鲸管理程序的竞争性开发

International Whaling Commission management of aboriginal subsistence whaling will eventually use an aboriginal whaling management procedure (AWMP) chosen from a collection of candidate procedures after grueling simulation testing. An AWMP is a fully automatic algorithm designed to operate on the results of an assessment (i.e., a statistical estimation problem relying on sparse series of whale abundance data) to produce a catch limit in each year of real or simulated…

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Multicriterion Decision Merging: Competitive Development of an Aboriginal Whaling Management Procedure

多准则决策合并:原住民捕鲸管理程序的竞争性开发

International Whaling Commission management of aboriginal subsistence whaling will eventually use an aboriginal whaling management procedure (AWMP) chosen from a collection of candidate procedures after grueling simulation testing. An AWMP is a fully automatic algorithm designed to operate on the results of an assessment (i.e., a statistical estimation problem relying on sparse series of whale abundance data) to produce a catch limit in each year of real or simulated…

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Local Adaptive Importance Sampling for Multivariate Densities with Strong Nonlinear Relationships

适用于强非线性关系多元密度的局部自适应重要性抽样

We consider adaptive importance sampling techniques that use kernel density estimates at each iteration as importance sampling functions. These can provide more nearly constant importance weights and more precise estimates of quantities of interest than the sampling importance resampling algorithm when the initial importance sampling function is diffuse relative to the target. We propose a new method that adapts to the varying local structure of the target. When the target…

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Inference from a Deterministic Population Dynamics Model for Bowhead Whales

弓头鲸确定性种群动力学模型的统计推断

We consider the problem of inference about a quantity of interest given different sources of information linked by a deterministic population dynamics model. Our approach consists of translating all the available information into a joint premodel distribution on all the model inputs and outputs and then restricting this to the submanifold defined by the model to obtain the joint postmodel distribution. Marginalizing this yields inference, conditional on the model, about…

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