貝葉斯風險 的英文怎麼說

中文拼音 [bèifēngxiǎn]
貝葉斯風險 英文
bayes risk
  • : 名詞1 [動物學] (蛤螺等有殼軟體動物的統稱) cowry; cowrie; shellfis 2 (古代用貝殼做的貨幣) cowr...
  • : Ⅰ名詞(古代驅疫時用的面具) an ancient maskⅡ形容詞[書面語] (醜陋) ugly
  • : Ⅰ名詞1 (空氣流動) wind 2 (風氣; 風俗) practice; atmosphere; custom 3 (景象) scene; view 4 ...
  • : Ⅰ名詞1 (險惡不容易通過的地方) a place difficult of access; narrow pass; defile 2 (危險) dange...
  • 貝葉 : (印度貝多羅 pattra 樹的葉子, 古代印度人用以寫佛經) pattra leaves
  • 風險 : risk; hazard; danger
  1. In the model, one supposition is that the negotiant is risk neutral and rational. the other supposition is that the investors especially individual investors who acquire real information are irrational. we found irrational herding model of individual investors with the securities transaction mechanism and baye as well as the utility function of the information gainers

    在模型中假設做市商中性且理性、知情投資者尤其是個人知情投資者為非理性,通過證券交易機制和學習過程以及建立非理性知情投資者的效用函數來建立非理性影響下的個體投資者羊群效應模型,得到不同情緒狀態和對信息反應程度下個體投資者賣出羊群效應發生的條件。
  2. The two - stage modeling method takes into account the characteristics of software project risk management and software metrics data, integrates qualitative knowledge and quantitative data. to study the software project iterative process risk ’ s bayesian network model, the definition of cyclic bayesian network is presented, probability convergence property of directed cycle in cyclic bayesian network is proved and probability inference method is put forward

    論文在軟體項目迭代過程網路模型研究中,定義了有環網路,證明了有環網路中有向環的概率收斂性質,給出了有環網路的概率推理方法。
  3. Cyclic bayesian network provides modeling method and inference algorithms for the management of software project iterative process risk

    有環網路的研究,為管理軟體項目迭代過程提供了建模方法和模型求解演算法。
  4. Temporal bayesian network and scheduling bayesian network provide modeling method and inference algorithms for the management of software project iterative process risk

    時間網路和進度網路的研究,為管理軟體項目時間相關提供了建模方法和模型求解演算法。
  5. Design of mail filter system based on arithmetic

    基於最小演算法的郵件過濾系統設計
  6. While, study the scheduling bayesian network to model software project scheduling risk. the modeling method, related calculation and probability inference algorithm are presented

    在進度網路的研究中,給出了軟體項目進度的建模方法、模型中的相關計算以及概率推理演算法。
  7. Therefore, the investors are not always rational, their behavior often embodies the variety of non - bayesian rules ' expectation, risk seeking and multifarious prospect

    因而投資者並不總是理性的,其行為經常出現非法則預期、追求和期望值的多樣性。
  8. Among others, the probability analysis approach has difficulty in deciding objective probability, and thus it is necessary to obtain subjective probability through expert empirical prediction, modify it by the bayesian formula and get a posteriori probability, and substitute it for objective probability in risk measurement and risk premium calculation

    其中,概率分析方法在應用中就存在客觀概率不易確定的難點問題,因此需用專家經驗預測法得到主觀概率后,利用公式加以修正並獲得后驗概率,再用后驗概率代替客觀概率進行的度量及收益的計算。
  9. Risk decision of project investment based on bayes method

    基於方法的項目投資決策
  10. Based on the above background, at first, thesis analyzes the characteristics and risk in ship investment. secondly, it presents two kinds of utility function about risk - averse decision - makers. combining with bayes method, author set up ship investment risk evaluation model

    基於以上背景,本文首先分析了船舶投資的特點及投資項目所面臨的四類,結合效用理論給出兩種厭惡型投資者的效用函數,運用分析方法建立一種新的船舶投資模型。
  11. Considering the behavior of decision - makers and stochastic of effect factors, author wants to analyze the risk during ship operation more effectively. the decision rule is minimum of bayes risk

    旨在充分考慮了決策者行為及影響因素隨機性的基礎,更科學合理地分析船舶投資項目在投入運營後面臨的,以貝葉斯風險最小的方案為決策的最優方案。
  12. 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. secondly, the bayesian inference theory about single equation model is explored

    在單參數平方損失函數的基礎上,定義了向量損失函數,利用向量化運算元vec定義了矩陣損失函數,並討論了這兩類損失函數下隨機向量參數和隨機矩陣參數的貝葉斯風險決策解。
  13. The method of information security risk assessment using bayesian networks

    基於網路的信息安全評估方法
  14. Secondly, bayesian theory is applied to the risk evaluation of the traffic prediction. then, the future inference can be gained from the experience data and the specimen data by the theory ; meanwhile, the predicted result can be modified constantly with the increase of the specimen

    再者,將推斷理論應用於公路建設項目的交通量預測研究,這種預測方法能夠根據先驗信息和樣本信息做出后驗的推斷,並能隨著樣本的增加不斷修正預測結果。
  15. The paper introduces the fundamental of tot - bot first, and then does the feasibility of the model to a nalyze wnether it could be used in shaanxi road project ; furthermore, the primary study on the risk management of the model is done. finally, the paper draws the following conclusions : 1 ) the combined model has the advantages of both tot and bot, it can not only activate the fixed assets but also promote the finance of intent projects ; 2 ) faced with the problems of capital shortage and simplified finance model, shaanxi province has a increasing invest demand in the road construction area. it is confirmed that the application of the model tot - bot is feasible to the road construction project of shaanxi by analysis ; 3 ) in the market risk evaluation of the road project, to introduce bayesian theory is both scientific and feasible, which is applied to the risk evaluation of the traffic prediction

    論文首先論述了tot - bot融資模式的基本理論,並對陜西省公項路項目採用tot - bot方式建設的可行性進行了分析,初步探討了採用tot - bot方式建設的融資模式設計與研究,並得出以下結論: ( 1 ) tot與bot結合而以bot為主的融資模式tot - bot ,兼備了兩種融資方式的優點,既盤活了固定資產又促進了政府待建項目的融資; ( 2 )當前陜西省公路建設項目投資需求大,同時又面臨資金不足而融資渠道單一等問題,通過分析認為嘗試將tot - bot項目融資方式應用於陜西省公路建設項目是可行的; ( 3 )在公路項目採用tot - bot方式建設的市場評價中,採用推斷理論來對交通量預測的進行評價是科學的、可行的。
  16. Research on risk decision making for real estate investment based on bayes decision theory

    基於理論的房地產投資決策研究
  17. In continuous - lime framework, assuming that asset price follows stochastic diffusion process, it introduces parametric uncertainty, and applies stochastic dynamic programming to derive the closed - form solution of optimal portfolio choice, which maximizes the expected power utility of investor ' s terminal wealth ; in discrete - time framework, continuous compounding monthly returns of risky asset are assumed to be normal i. 1. d., it applies the rule of bayesian learning to do empirical study about two different sample of shanghai exchange composite index

    在連續時間下假設資產的價格服從隨機擴散過程,引入參數不確定性,利用隨機動態規劃方法推導出資產最優配置的封閉解,使投資者的終期財富期望冪效用最大;在離散時間下假設資產的連續復合月收益率服從獨立同分佈的正態分佈,通過學習準則,以上證綜合指數不同區間段的兩個樣本做實證研究。
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