贝叶斯风险
- 网络Bayes risk;MBR;Bayes M risks
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基于贝叶斯风险分析的软件项目人力资源模型
The manpower model for software projects based on analysis of Bayes risk
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并将贝叶斯风险决策模型和最小欧氏距离判决法则运用到失效计算包的剔除中。
The Bayes risk decision-making model is used to eliminate the invalidated computing packages .
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在单参数平方损失函数的基础上,定义了向量损失函数,利用向量化算子Vec定义了矩阵损失函数,并讨论了这两类损失函数下随机向量参数和随机矩阵参数的贝叶斯风险决策解。
On the strength of the square loss function , this part also defines the vector loss function and matrix loss function , and discusses the Bayesian risk decision solutions about random vector parameter and random matrix parameter under these loss functions respectively .
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考虑到产品本身存在一定的不确定性,采用贝叶斯风险决策方法,在考虑决策风险的情况下,对可靠性增长试验进行综合规划。
Because of the consideration of the uncertainty of reliability , a Bayesian risk method was used to optimize reliability test .
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本文所提出的房地产贝叶斯风险决策方法能较好地弥补这个缺陷。
The Bayes decision-making method in real estate risk analysis , as proposed in this paper , is proved efficient in avoiding these mistakes .
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仿真结果表明,同已有算法相比,由于接入参数的优化,即使贝叶斯风险较大时,本文算法也能取得更优的吞吐量。
Simulations results show , even if the Bayesian risk value is large , as optimization of the frame length , the proposed algorithm can also achieved better throughput compared with the existing schemes .
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从消费者购买行为的分析,应用贝叶斯风险决策理论,研究了新产品的市场扩散过程,建立了耐用消费品及重复性购买产品的总体市场扩散模型。
The adoption behavior of consumers in risk-sensitive markets is analyzed , and the aggregated diffusion models of durable goods and repeat purchase goods are developed by applying Bayes ' decision theory to innovation diffusion process .
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基于此标准,提出以最小化贝叶斯风险作为优化系统检测性能的准则,并对所有参数设置作了相关分析与研究。
Based on this standard , minimizing the Bayes risk is regarded as the optimization criteria of the detection performance , and then all of the parameters are analysed and studied . Secondly , under the new evaluation standard , the local spectrum sensing is researched .
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先验概率和代价函数均模糊时基于贝叶斯最小风险准则的分布式决策融合
Optimal Distributed Decision Fusion with Fuzzy a priori Probabilities and Fuzzy Cost Functions Based on Minimum Bayesian Risk Criterion
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基于贝叶斯最小风险准则建立分布式决策模糊融合方法,有效融合单帧检测的结果,提高序列检测算法的性能。
Based on the single detection , the decision fusion is introduced and the sequential detection based on fuzzy decision fusion is build .
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然后通过贝叶斯最小风险理论对决策进行评估,进而得出在影响因素为何种状态时对利率采取何种调整。
Bayesian minimum risk theory to assess the decision-making , and then come to the influencing factors taken the state to which the interest rate adjustment .
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模型主要包括以下几个部分:风险库模型、贝叶斯网络风险识别模型、贝叶斯网络风险分析模型、风险评估模型、风险处理模型和风险监控模型。
The model consists of the following items : model of risk Database , model of identifying Bayesian network risk , model of analyzing Bayesian network risk , model of assessing risk , model of handling risk and model of monitoring risk .
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利用正态分布函数讨论了n个软件开发人员总工作量的概率密度分布,在此基础上建立了基于贝叶斯规则的风险模型;
The probability density distribution for total workload of infinite software development persons was also discussed by using normal school function , and the risk model based on Bayes rule was come up with .
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针对软件项目的特点和软件项目风险定量评估任务,提出了基于面向对象贝叶斯网络的风险评估方法。
A risk evaluation method based on object-oriented Bayesian network is put forward for evaluating software project risk quantitatively .
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基于贝叶斯模型的网络风险动态评估方法
Methods for Dynamically Evaluating the Risk of Network Based-on Bayesian Model
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基于贝叶斯推断的操作风险度量模型研究
Study on measuring model of operational risk applying Bayesian inference
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因而投资者并不总是理性的,其行为经常出现非贝叶斯法则预期、风险追求和期望值的多样性。
Therefore , the investors are not always rational , their behavior often embodies the variety of non-Bayesian Rules ' expectation , risk seeking and multifarious prospect .
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基于熵的定义与极大熵准则和贝叶斯推断,对风险环境下的煤电联营项目融资额度进行了估算。
Based on the definition of entropy and the rule of maximum entropy and the theory of Bayes risk , the quantity of project financing for CPPP is estimated ;
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提出一种新的软件项目风险管理方法,采用贝叶斯网络同时对风险发生概率和风险影响进行推理。
A new method of software project risk mangement is presented , which uses the Bayesian networks to infer the probability of risk occurrence and the impact of risk simultaneously .
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在线性合同的假设前提下,论文通过建立模型,求解博弈的贝叶斯均衡得到了风险中性的理性招标人的最优合同形式以及投标人的最优报价策略。
Under the assumption ot the rational and risk-neutral principal and agent , this paper formulates the process of bidding for a linear contract as an auction game theoretical model .
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研究结果表明,逆跳马尔可夫链蒙特卡罗法能准确识别模型,贝叶斯分位回归风险模型能对风险价值进行准确估计。
The results show that the Reversible Jump Markov Chain Monte Carlo method can correctly identify the model , and the Bayesian quantile autoregressive risk measurement model can accurately estimate VaR.
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本文简要分析了隐蔽信息和隐蔽行动两种形式的信息不对称,运用贝叶斯方法分析了风险投资家的项目评价,探讨了风险投资家防范道德风险的措施。
Based on a brief analysis of asymmetric information including hidden information and hidden action , this paper analyses the deal evaluation of the venture capitalists by using Bayes method and explores the measures used to solve moral hazard problem .