Examples show that the results obtained using laplace method are very close to that obtained using gibbs sampling method 實例表明通過laplace方法得到的估計與利用gibbs抽樣方法得到的參數(shù)的bayes估計很接近。
To improve the real - time performance of bayesian high - resolution method , a novel bayesian high - resolution multi - source doa estimator based on gibbs sampling is proposed 定量地給出了這兩個因素與貝葉斯高分辨方法性能之間的關(guān)系。
Especially the underwater acoustics high - resolution multi - source direction finding technique is the key to underwater searching and ocean exploration . sponsored and supported by the national natural science foundation , the aviation science foundation as well as the national pre - research project , bayesian high - resolution method is thoroughly studied and summarized in this thesis . the novel bayesian high - resolution doa estimator based on gibbs sampling is given to improve the real - time performance of original bayesian high - resolution doa estimator 本文在國家自然科學基金、航空基礎(chǔ)科學基金和“九五”重點預研項目的資助下,對貝葉斯高分辨方法進行了深入的研究和總結(jié),并且針對原貝葉斯高分辨方位估計方法計算量大的問題,給出了基于吉布斯采樣法的貝葉斯高分辨多目標方位估計新方法,使得貝葉斯高分辨方法向?qū)崟r應用邁進了重要的一步。
In statistics and in statistical physics, Gibbs sampling or a Gibbs sampler is a Markov chain Monte Carlo (MCMC) algorithm for obtaining a sequence of observations which are approximately from a specified multivariate probability distribution (i.e.