
[數] 條件分布;條件分配
We obtain an explicit formulae for the conditional distribution laws of the state of the dynamical system with respect to the observed data.
本文讨論非線性隨機離散系統狀态估值問題的測度變換,推得系統的狀态對于觀測的條件分布律。
The probability properties of the output sequences of a multi-valued combiner with 1 digit memory are analyzed and the conditional distribution is investigated.
本文給出了帶1位記憶多值組合生成器輸出序列獨立均勻分布的充要條件,并研究了序列的條件分布特性。
The primary of Bayesian estimation is to deduce the conditional distribution function of unknown variables on the data, which is also called posterior probability density function (PPDF).
它是根據測量的數據推導未知變量的條件分布函數,也就是後驗概率密度函數,而熱傳導反問題的數值解就是後驗概率密度函數的數學期望。
Secondly, the logarithmic form could overcome the defect of heteroskedasticity of the conditional distribution of normal variables.
其次,對數形式,可以緩解正變量條件分布具有異方差的缺點。
When the state process has Markov property, the recursive formulae for the conditional distribution density functions of filtering, prediction. and interpolation, are given respectively.
當狀态過程具有馬氏性時,還分别給出濾波、預測以及内插的條件分布密度函數的遞推格式。
In this paper, we give a expand about a fuzzy measure, discuss a existence of a mix-conditional distribution on the fuzzy measure space.
給出一類模糊測度的擴張,并在此基礎上讨論了這類模糊測度的混合分布的存在性問題。
The stochastic volatility(SV) model based on the mean conditional normal distribution is compared with that based on the conditional heavy_tailed distribution.
對均值條件分布為正态分布的隨機波動性模型與條件厚尾分布的隨機波動性模型進行了比較分析。
At last the learning method for conditional probability distribution is investigated.
最後還提出了條件概率學習方法。
A conditional frequency distribution is a collection of frequency distributions, each one for a different condition.
條件頻率分布是一系列的條件分布,每個都是不同的條件。
Established the conditional probability distribution of peak and volume and duration and drawn the conditional return period under given conditions;
建立了洪峰、洪量和曆時的三變量條件概率分布,繪制給定條件下的條件重現期圖。
The spectral parameters were predicted using the conditional probabilistic distribution function based on the pitch and were modified synchronizingly with the pitch using the sinusoidal model.
頻譜參數的預測公式由各基頻下的條件概率密度函數導出,頻譜參數的修改通過正弦模型實現。
A discrete method for stochastic variable (features) space of class-conditional-probability density and estimation method for class-conditional -probability distribution is proposed.
本文提出了類條件概率密度隨機變量(特征)空間離散化及類條件概率分布估計方法。
In the empirical study we also found the phenomenon of fat tail distribution, conditional variance and asymmetric variance of SH180 index return.
此外,在實證分析中,我們也發現并證實了上證180指數收益率存在“厚尾”分布、方差的時變性以及非對稱性的風險特征。
In chapter VI, we try to explain the conditional convergence and income distribution of China by comparative advantage theory.
第六章從比較優勢理論的框架出發,試圖解釋************增長中的條件收斂與收入分配問題。
A model for common cause failure probability was derived based on the distribution of the conditional failure probability of components.
推導了基于零件條件失效概率分布的共因失效概率模型;
In this paper, an effective new way has been proposed to depict the bivariate life distribution based on conditional failure rate functions.
該方法利用模式序列中的失效函數計算得到失效鍊接值,也就是當前一位置匹配失敗後,下一次匹配開始的位置。
We find that FDI distribution in China is conditional convergent with spatial interdependence and spatial spillover effect makes FDI diffuse from the core to the peripheral area.
計量結果發現,集聚效應對于吸引我國FDI有着很大程度的影響,相鄰省份之間的空間溢出效應促使FDI更多的是由核心省份向周邊省份擴散。
Because the nonparametric ACD model does not rely on the functional form of(conditional) mean value and the error distribution form, it has more typical implication.
非參數ACD模型不依賴條件均值的函數形式和誤差項的分布形式,更具有一般意義。
An effective new way has been proposed to define the joint life distribution of a system with n components and the multivariate life distribution can be depicted by conditional failure rate functions.
當在分析一個有若幹部件組成的系統的聯合分布時,系統的多維壽命分布不易把握,由于條件失效率函數有很好的直觀意義且易獲得,用條件失效率函數去刻畫壽命分布是一種有效的新途徑。
A double forecasting model is proposed by using conditional mathematical expectation, based on probability distribution of port cargo throughput.
在得出港口貨物吞吐量概率分布的基礎上,利用條件數學期望提出了港口貨物吞吐量的雙層預測模型。
The result shows that the population distribution of China has a weak conditional convergence from 1964 to 1992, but it shows a regional divergence from 1992 to 2003.
研究結果表明,1964-1992年,中國人口空間分布呈現比較弱的條件收斂性;1992-2003年,中國人口空間分布則存在着明顯的區域發散現象。
Based upon the theories of conditional indicator simulation, an approach for predicting the distribution of rocks with different permeability categories is presented.
根據指示條件模拟的基本原理,提出了建立滲透率空間分布模型的三維指示條件模拟方法。
A key distribution scheme based on elliptic curve cryptography for Conditional Access System(CAS) in Digital TV broadcast is proposed.
針對數字電視有條件接收系統中的密鑰分配,提出了一種基于橢圓曲線密碼的分層訪問控制密鑰分配方案。
With the combination of Bayes Indicator Conditional Simulation method and Sequential Gaussin Simulation method, the distribution of reservoir heterogeneity has been predicted.
采用貝葉斯指示條件模拟和序貫高斯模拟方法結合建立儲層參數模型,很好地預測了儲層非均質性展布。
This paper proposed a new key distribution algorithm based on hierarchical access control for conditional access system in digital television broadcast.
其中,分級訪問控制技術被用來分配頻道的授權密鑰,而中國剩餘定理被用來為用戶分配組密鑰。
The temperature and its field distribution and the heat dissipation through gearbox case are conditional on each other in computation, thus ****** the computation much more difficult.
通過齒輪箱的情況下的溫度和它的字段分布和散熱條件的每一個其他的在計算上,從而使計算變得更加困難。
The shape changing feature of conditional distributions makes the HMDAR model capable of modeling time series with asymmetric or multimodal distribution.
HMDAR模型分布形式的靈活性使得它能夠對具有非對稱或多峰分布的序列進行建模。
The varied feature of conditional distributions makes the HMDAR model capable of modeling time series with asymmetric or multimodal distribution.
HMDAR模型分布形式的靈活性使得它能夠對具有非對稱或多峰分布的序列進行建模。
條件分布(conditional distribution)是概率論與統計學中的核心概念,指在已知某一隨機變量或事件發生的條件下,另一隨機變量的概率分布。它描述了變量間的依賴關系,廣泛應用于回歸分析、貝葉斯推斷和機器學習等領域。
假設存在兩個隨機變量(X)和(Y),在給定(X = x)的條件下,(Y)的條件分布可表示為: $$ P(Y = y mid X = x) = frac{P(X = x, Y = y)}{P(X = x)} $$ 其中,分子為聯合概率,分母為邊緣概率。若(X)和(Y)為連續型變量,則用概率密度函數替換概率質量函數。
條件分布(conditional distribution)是概率論與統計學中的重要概念,用于描述在已知某些條件下,隨機變量的概率分布情況。以下是詳細解釋:
條件分布指在給定另一個隨機變量或事件發生的前提下,某個變量的概率分布。例如,若隨機變量 (X) 和 (Y) 存在聯合分布,則當已知 (X = x) 時,(Y) 的條件分布表示為 (P(Y mid X = x))(離散型)或 (f_{Y mid X}(y mid x))(連續型)。
離散型變量:條件概率定義為
$$P(Y = y mid X = x) = frac{P(X = x, Y = y)}{P(X = x)}$$
其中分母 (P(X = x) > 0)。
連續型變量:條件密度函數為
$$f{Y mid X}(y mid x) = frac{f{X,Y}(x, y)}{f_X(x)}$$
其中 (f_X(x)) 是 (X) 的邊緣密度函數。
條件期望與方差
條件分布的均值稱為條件期望 (E(Y mid X = x)),方差則反映在已知 (X) 時 (Y) 的不确定性。例如,線性回歸中的預測值本質上是條件期望。
與聯合分布的關系
條件分布與聯合分布通過乘法公式關聯:
$$P(X, Y) = P(Y mid X) cdot P(X)$$
這在貝葉斯定理中尤為重要,用于計算後驗分布(一種條件分布)。
典型例子
條件分布在數據分析、機器學習和因果推斷中廣泛應用。例如:
通過理解條件分布,可以更精準地建模變量間的依賴關系,從而進行統計推斷或預測。
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