mcmc 中文意思是什麼
mcmc
解釋
腫瘤多學科規范化治療教程-
Markov chain monte carlo ( mcmc ) algorithms have achieved a considerable following in the statistics and econometrics literature in the last ten years. there has been considerable research on so - called generalized autoregressive conditional heteroskedastic ( garch ) models for dealing with these methods since the remarkable works of chib and greenberg ( 1994 )
Mcmc演算法在近10年來越來越受到統計界與計量經濟界的廣泛重視，自從chib和greenberg （ 1994 ）開創性地提出了對arma模型的mcmc演算法后，國內外有許多學者開始對自回歸條件異方差模型的mcmc演算法進行了大量的研究。 -
To obtain the prior distributions of parameters by bootstrap, i proposed the integrated sampling method to generate bootstrap samples. the method simulates a markov chain to describe the state changing procedure based on the failure time sampled by monte carlo method. and the posterior distributions of parameters are obtained by markov chain monte carlo ( mcmc ) method
為了應用自助方法確定參數驗前分佈，提出了運行故障時間和狀態的綜合抽樣方法生成自助樣本，該方法基於試驗數據用蒙特卡洛方法對故障時間進行抽樣，在故障時間抽樣值的基礎上，模擬馬爾可夫鏈表示系統狀態變化過程。 -
Bayesian credibility model for experience rating based on mcmc method
穩態模擬的貝葉斯經驗費率釐定信用模型 -
Learning of bayesian network based on mcmc algorithm
演算法貝葉斯網路的學習 -
Study on the model of loss distribution in pool medical insurance with mcmc
方法研究統籌醫療保險的損失分佈模型 -
This thesis improves the mcmc method so that it can be adapted to massive datasets " data mining
本文通過改進mcmc演算法，使它能夠用於巨型數據集的挖掘。 -
The computational results indicate that parameters estimation by bayesian method and mcmc sampling has a high precision
計算結果表明採用貝葉斯推理獲得的模型參數估計具有很高的精度。 -
Mcmc method can reduce the costs of time and space in data mining, but it is impracticable in massive datasets " computation
Mcmc可以減少數據挖掘中的時間和空間開銷，但對于巨型數據集， mcmc在計算方面也不切實際。 -
Compared to mle procedures, mcmc algorithms are more stable and the problems such as searching the multiple maximal are avoided
Mcmc演算法與經典的mle方法相比，它具有更好的穩定性，同時也避免了用mle方法所帶來的極值優化的復雜性。 -
4 ) based on web services flow language and java, the dissertation designs and implements a magent - based cooperative multimedia component ( mcmc ), which is used to parse and execute web services flow
（ 4 ）基於web服務流語言和java語言，設計並初步實現了一個基於magent的協作多媒體組件（ mcmc ） ，以實現web流的執行與服務。 -
Markov chain monte carlo simulation ( mcmc ) was taken to sample the posterior distribution to get the marginal posterior probability function of the parameters, and the statistical quantities such as the mathematic expectation were calculated
通過馬爾科夫鏈蒙特卡羅模擬對后驗分佈進行了采樣，獲得了參數的后驗邊緣概率密度，並在此基礎上獲得了參數的數學期望等統計量。 -
At last, it can obtain the posterior probability distibution of each unlabelled classes by analysing these stochastic data. it is easy to get a stochastic sample that satisfies some special distribution through running a special markov chain, so mcmc ( markov chain monte carlo ) is the most common monte carlo bayesian method
運行一個特定的馬爾可夫鏈可以容易地獲得滿足某個特定分佈的隨機抽樣，所以馬爾可夫鏈蒙特卡羅（ mcmc ）是最常用的蒙特卡羅貝葉斯分類方法。 -
For example, to the general models such as follows : with the application of the serial important function and the gibbs algorithms in mcmc methods, i give some results in the choice of the important function and how to use the gibbs algorithms in the forecasting of the models
例如，對于如下一般模型：分別應用序列重要抽樣的方法和mcmc方法中的gibbs抽樣演算法對上述模型作預測，並且對于重要函數的選取和抽樣的可行性提出了幾個結論。
分享友人