Bayesian validation assessment of multivariate computational models

Multivariate model validation is a complex decision-making problem involving comparison of multiple correlated quantities, based upon the available information and prior knowledge. This paper presents a Bayesian risk-based decision method for validation assessment of multivariate predictive models under uncertainty. A generalized likelihood ratio is derived as a quantitative validation metric based on Bayes’ theorem and Gaussian distribution assumption of errors between validation data and model prediction. The multivariate model is then assessed based on the comparison of the likelihood ratio with a Bayesian decision threshold, a function of the decision costs and prior of each hypothesis. The probability density function of the likelihood ratio is constructed using the statistics of multiple response quantities and Monte Carlo simulation. The proposed methodology is implemented in the validation of a transient heat conduction model, using a multivariate data set from experiments. The Bayesian methodology provides a quantitative approach to facilitate rational decisions in multivariate model assessment under uncertainty.     

Optimal sampling for repeated binary measurements

The authors consider the optimal design of sampling schedules for binary sequence data. They propose an approach which allows a variety of goals to be reflected in the utility function by including deterministic sampling cost, a term related to prediction, and if relevant, a term related to learning about a treatment effect To this end, they use a nonparametric probability model relying on a minimal number of assumptions. They show how their assumption of partial exchangeability for the binary sequence of data allows the sampling distribution to be written as a mixture of homogeneous Markov chains of order k. The implementation follows the approach of Quintana & Müller (2004), which uses a Dirichlet process prior for the mixture.     

用模糊数学理论对汉诗英译本进行量化评估的初步构想

以模糊数学的理论为基础,初步探索用模糊综合评判定量评价汉诗英译本的基本方法,并对其中的关键步骤-判据集(或称评判因素)的设定和隶属度的确定进行了进一步的讨论.该方法虽然仍离不开人的主观参与,但它比纯粹的定性分析更为科学、系统.     

基于模糊分析的中国商业银行战略联盟伙伴选择研究

随着金融业务的国际化，战略联盟已经成为银行提高自身竞争力的一个有效手段。研究确定商业银行联盟伙伴选择的原则与标准，根据这些标准，运用模糊聚类分析法对银行潜在的联盟伙伴的选择进行分析，使商业银行有针对性的与一些联盟伙伴发展合作伙伴关系，减少交易成本和搜寻成本，从而提高银行的运作效率。     

上市公司综合评价研究

客观合理地评价上市公司,是投资者、上市公司以及监管机构都非常关注的问题,也是规范发展证券市场的一个重要方面。基于平衡记分卡的原理,提出了我国上市公司的评价指标体系。财务层面的评价采用因子分析法;客户层面、内部层面、学习与创新层面以及综合评价,则是根据模糊三角数的概念构造判断矩阵,利用模糊三角数比较大小的原理进行排序。     

Couple Attitudes and Agreement Regarding Pregnancy Wantedness in the Philippines

We compare husbands' and wives' views of the wantedness of their most recent pregnancy in the Philippines, a country where relatively high levels of unintended fertility persist. This research is an extension of earlier work that looked separately at individual men's and women's responses. We analyze survey data for 369 couples and find that those most at risk of experiencing a pregnancy that neither spouse wanted tended to be higher parity couples, those who were more fatalistic, those who were practicing Catholics who attended religious services frequently, and those among whom the husband was the sole breadwinner. Higher parity women and older women were also more apt to experience a pregnancy that was wanted by only 1 spouse. Women who had difficulty discussing sexual matters with their husbands were more likely than other women to have a pregnancy that their husbands wanted but they did not.     

Modeling External Risks in Project Management

To ascertain the viability of a project, undertake resource allocation, take part in bidding processes, and other related decisions, modern project management requires forecasting techniques for cost, duration, and performance of a project, not only under normal circumstances, but also under external events that might abruptly change the status quo. We provide a Bayesian framework that provides a global forecast of a project's performance. We aim at predicting the probabilities and impacts of a set of potential scenarios caused by combinations of disruptive events, and using this information to deal with project management issues. To introduce the methodology, we focus on a project's cost, but the ideas equally apply to project duration or performance forecasting. We illustrate our approach with an example based on a real case study involving estimation of the uncertainty in project cost while bidding for a contract.     

银行个人住房抵押贷款预警系统构想

在分析银行住房抵押贷款的各种风险因素的基础之上，提出模糊预警模型，给出预警结果。     

电子商务模式决策的支持模型设计

借助潜在需求这一概念提出决策分析框架,帮助决策者在决策制定的最初分析阶段排除那些与本企业环境和供应链条件不相容的电子商务模式;旨在为电子商务从业者和研究人员提供一个实施电子商务模式决策分析时的支持模型.     

Consortium for Atlantic Regional Assessment: Information Tools for Community Adaptation to Changes in Climate or Land Use

To inform local and regional decisions about protecting short-term and long-term quality of life, the Consortium for Atlantic Regional Assessment (CARA) provides data and tools (for the northeastern United States) that can help decision makers understand how outcomes of their decisions could be affected by potential changes in both climate and land use. On an interactive, user-friendly website, CARA has amassed data on climate (historical records and future projections for seven global climate models), land cover, and socioeconomic and environmental variables, along with tools to help decision makers tailor the data for their own decision types and locations. CARA Advisory Council stakeholders help identify what information and tools stakeholders would find most useful and how to present these; they also provide in-depth feedback for subregion case studies. General lessons include: (1) decision makers want detailed local projections for periods short enough to account for extreme events, in contrast to the broader spatial and temporal observations and projections that are available or consistent at a regional level; (2) stakeholders will not use such a website unless it is visually appealing and easy to find the information they want; (3) some stakeholders need background while others want to go immediately to data, and some want maps while others want text or tables. This article also compares what has been learned across case studies of Cape May County, New Jersey, Cape Cod, Massachusetts, and Hampton Roads, Virginia, relating specifically to sea-level rise. Lessons include: (1) groups can be affected differently by physical dangers compared with economic dangers; (2) decisions will differ according to decision makers' preferences about waiting and risk tolerance; (3) future scenarios and maps can help assess the impacts of dangers to emergency evacuation routes, homes, and infrastructure, and the natural environment; (4) residents' and decision makers' perceptions are affected by information about potential local impacts from global climate change.