貝葉斯估計 的英文怎麼說

中文拼音 [bèiyèsīgūjì]
貝葉斯估計 英文
bayesian estimate
  • 貝 : 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...
  • 斯 : Ⅰ名詞（古代驅疫時用的面具） an ancient maskⅡ形容詞[書面語] （醜陋） ugly
  • 估 : 估構詞成分。
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 貝葉 : （印度貝多羅 pattra 樹的葉子, 古代印度人用以寫佛經） pattra leaves
  • 估計 : estimate; evaluate; take stock of; size up; calculate; appraise; reckon; estimation; forecast
  1. A doa estimation algorithm for multipath signals based on burg iterations

    基於貝葉斯網路的并行分佈估計演算法研究
  2. Standard incidence ratio for non - polio acute flaccid paralysis in liang china : a bayesian method study

    試用貝葉斯法估計非脊髓灰質炎急性弛緩性麻痹標準化發病比
  3. The class of distributions includes the weibull, burr - type x, pareto and beta distributions. a proper general prior density function is suggested, and predictive density functions are obtained in one - and two - sample cases when the history sample is a type ii double censored sample. illustrative examples are given

    在type雙刪失數據場合下，討論了雙參數burr - type分佈參數的貝葉斯估計，在所取的損失函數分別為平方損失， linex損失，熵損失函數下得到了參數的貝葉斯估計，並且給出一種近似演算法。
  4. ( 1 ) the posterior distribution of the coefficient matrix, the precision matrix and covariance matrix, and their bayesian estimation under the matrix normal - wishart conjugate prior distribution. ( 2 ) the deduction of the predictive distribution, proved to be matrix t distribution. ( 3 ) the designs of bayesian multivariate mean value control charts in terms of the relationship between the multivariate wishart distribution and x2 distribution, the bayesian process capability index and its confidence lower limi

    通過多方程模型系統的統計結構，證明了矩陣正態? wishart先驗分佈是模型參數（ ， ）的共軛先驗分佈，研究了該先驗分佈下模型系數矩陣、精度陣和協方差陣的后驗分佈及其貝葉斯估計，對模型預報密度函數進行了嚴格的數學推導，並將其應用於多元質量控制領域，構造了貝葉斯均值向量聯合控制圖；結合wishart分佈與x ~ 2分佈之間的關系，設計與推斷了貝葉斯多指標過程能力指數及其貝葉斯置信下限。
  5. Bayesian estimation of time series model with trend

    時間序列趨勢項的貝葉斯估計
  6. In military practice, used the result of this paper, it proved that the bayes result of this paper could reduce the systematic error of measure under less experiment times. this paper has six chapters, we give the summary as follows : in the first chapter, we introduce the knowledge of realistic background

    在軍事實踐中，本文研究的結果得到了應用。實踐表明，本文的貝葉斯估計結果，確能在較少的試驗次數情況下，減少測量結果的系統誤差。
  7. Decision theory, statistical classification, maximum likelihood and bayesian estimation, non - parametric methods, unsupervised learning and clustering

    決策理論，統計分類，最大似然和貝葉斯估計，非參數方法，非監督的學習與聚類。
  8. ( 3 ) how to design the bayesian test method about the parameter ' s linear hypothesis according to the relationship between the multivariate t distribution and f distribution. ( 4 ) the bayesian diagnosis and unit root test method about the random error series. ( 5 ) the bayesian mean value quality control chart when the variance is known and the mean value - standard error control chart when the variance is unknown

    然後，研究了擴散先驗分佈下單方程模型參數的貝葉斯估計理論，證明了模型系數的后驗分佈為多元t分佈，模型誤差項方差的后驗估計為逆gamma分佈；根據多元t分佈和f分佈之間的關系，構造了模型系數線性假設檢驗的貝葉斯方法；根據hpd置信區間構造了隨機誤差序列自相關的貝葉斯診斷和單位根檢驗方法，並利用單方程模型的貝葉斯推斷理論研究了方差已知時的貝葉斯均值控制圖和方差未知時的貝葉斯均值?標準差控制圖。
  9. 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。
  10. Bayesian estimation of variance factor in the nonlinear model

    非線形模型方差的貝葉斯估計
  11. Bayesian analysis of weibull distribution by using

    分佈的貝葉斯估計
  12. Bayesian estimation of a circle

    圓參數的貝葉斯估計
  13. Estimation of the parameters of linear exponential model by empirical bayes

    線性指數模型參數的經驗貝葉斯估計
  14. Linear empirical bayes estimation for dependent current samples and historical samples

    相依樣本時的線性經驗貝葉斯估計
  15. Bayesian estimation for the parameter of exponential distribution under multiply type - censoring

    定數截尾數據缺失場合下雙參數指數分佈參數的貝葉斯估計
  16. The eb estimation of scale - parameter for the two - parameter exponential distribution under the type - censoring life test

    分佈參數的極大似然估計及貝葉斯估計
  17. The particle filter is a filter method based on monte - carlo simulation and recursive beyesian estimation

    粒子濾波是一種基於蒙特卡羅模擬和遞推貝葉斯估計的濾波方法。
  18. With the rapid development of modern computer science and information technology, and with the marvelous renovation of image identification, mtt comes out into the open and is of great practical value in the field of military defence, medical research, traffic monitoring, astronomical prediction, intelligent supervision etc. particle filter, as a nonlinear filtering based on bayesian estimate, has an advantage in the field of nonlinear moving target tracking

    隨著現代計算機和信息技術的飛速發展及圖形識別演算法的革命性改進，多目標的實時追蹤技術脫穎而出，在軍事國防、交通監視、天文預測、智能監控等領域有著非常重要的實用價值。粒子濾波作為一種基於貝葉斯估計的非線性濾波演算法，在處理非線性運動目標跟蹤問題方面有獨到的優勢。
  19. Starting from benchmark model of incentive mechanism, the paper discussed the statistical backgrounds of first order condition and likelihood ratio condition, the information meaning of sufficient statistics and its derivation in relative performance evaluation, and the improvement on incentive allocation by large sample theory and bayes estimation under multi - period

    從激勵機制的基準模型出發，探討一階條件法與似然比條件的統計背景、充分統計量的信息含義及其在比較業績評價方面的推廣應用、多期情形下大樣本理論與貝葉斯估計對激勵配置的改善。
  20. In the paper, we analyze an estimated problem of normal mathematical expectation with unilateral interval information been met in practical work of survey, using bayes statistic approach, we get bayes estimation of normal mathematical expectation

    本文對實際測量工作中遇到的一類帶有單側區間信息的正態均值的估計問題進行了分析，運用貝葉斯統計方法，得到了正態均值的貝葉斯估計。
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