隱含概率 的英文怎麼說

中文拼音 [yǐnhángàilǜ]
隱含概率 英文
latent probability
  • 隱 : Ⅰ動詞（隱瞞; 隱藏） hide; conceal Ⅱ形容詞1 （隱藏不露） hidden from view; concealed 2 （潛伏的; ...
  • 含 : 動詞1 （東西放在嘴裏 不咽下也不吐出） keep in the mouth 2 （藏在裏面; 包含） contain 3 （帶有某種...
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 隱含 : implication
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  1. Supposing the company ' s value satisfies a certain probability distribution, then, we can calculate the company ' s value in the future as well as its connotative undulation basing on the relationship and a certain option pricing formula, which is based on the supposing talked above. further, we can calculate the company ' s expected default frequency. by now, the goal to measuring the company ' s credit risk has realized

    如果假設公司價值波動服從某一概率分佈，那麼根據與此概率分佈相對應的期權定價公式，以及股票價格波動率與公司資產價值波動率之間的函數關系，即可求出公司未來某個時點的期望價值及其隱含波動率，並進一步計算出此時點公司違約的概率，由此便實現了對公司信用評級的目的。
  2. This paper studies 3 kinds of algorithms : the viterbi algorithm, multiresolutional algorithm based on wavelet transformation and bayesian bootstrap algorithm. the viterbi algorithm is based on the hidden markov model theory and it is a kind of map estimation, this paper studies this algorithm and puts up an algorithm that suits for filtering in the presence of interference. multiresolutional algorithm takes full advantage of multiresolutional data, we can see it has a better filtering ability than the traditional filtering methods ; bootstrap algorithm is a recursive bayesian estimation, it describes the probability density function by the samples, so it can be used to nonlinear non - gaussion filtering, the simulation result of the two groundings is presented

    Viterbi演算法以隱馬爾可夫理論為基礎，是一種最大后驗概率估計方法，本文對該演算法進行了研究，給出了一種適合於非高斯干擾條件下的濾波方法；多分辨分析方法充分利用到了多解析度測量數據所包含的信息，從模擬結果中可以看出，該方法的濾波精度要高於傳統的濾波演算法；自主濾波方法是一種遞推貝葉斯估計演算法，它利用采樣點來描述目標狀態的概率密度函數，因而適用於非線性、非高斯條件下的濾波，本文分別對這兩種情況下的濾波進行了模擬。
  3. First of all, the paper defines the risk - embedded option, figures out the forms of the embedded option in the assets and liabilities of the commercial banks and analyzes the main source of the interest risk - embedded option of our country at the present time

    首先對隱含期權的概念作出界定，分析了隱含期權在商業銀行資產和負債中的表現形式以及目前我國商業銀行資產負債項目中最主要的隱含期權利率風險的來源。
  4. In this paper, we present a method of how to make factor anlysis when survey data compose of some item - nonresponses. we combine the factor anlysis model and response model, by treating the factors as latent variables which influence item response pobability, and assuming the response pobability has a logit model. after that, we give a two - step method to estimate the parameters

    在進行因子分析時，調查數據常常存在項目無回答的情況，本文將諸因子作為隱含變量，建立無回答概率與諸因子的統計模型，並給出模型參數的兩步估計方法，從而得到了存在項目無回答時的因子分析。
  5. Finally, genetic optimization research is summarized on several typical production scheduling problems. after expounding the general idea of genetic algorithm, the comparative advantages in contrast to the traditional algorithm, the basic characteristics of genetic algorithm and its theoretical base, the paper puts emphasis on the efficiency of genetic algorithm in the scheduling of flow shop, and puts forward an improving genetic algorithm : the ordinal genetic algorithm based on the heuristic rules. the new algorithm introduces into the initial group the solution of heuristic algorithm, and in the group structure adopts a strategy of first ordering according to the priority of the adaptive solution, and then defining a new way of choosing probability by segments, which provides more hybridizing opportunity for optimized individuals, and designs variation - control rule to prevent single population and partial optimal solution

    在論述了遺傳演算法的思想、與傳統搜索演算法的比較優勢、遺傳演算法的基本特徵和遺傳演算法的理論基礎（包括模式定理、隱含并行性、基因塊假設、欺騙問題和收斂性定理）后，重點探討了遺傳演算法在flowshop調度問題中的潛力和有效性；結合啟發式規則，提出了一個改進的遺傳演算法?基於啟發式規則的有序遺傳演算法，新演算法在初始種群中引入了啟發式演算法的解，在種群結構上採用了先按適應值優劣排序再分段確定選擇概率的新策略，使優質個體有更多的雜交機會，在變異中設計了變異控制規則，以防種群單一化，而陷入局部優化解。
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