1) Metropolis-Hasting sampling
Metropolis-Hastings抽样
2) Metropolis Hastings(MH) sampling
Metropolis Hastings抽样
3) Metropolis sampling method
Metropolis抽样
1.
The probability density functions for both the jump distance and the residence time in the CTRW model are determined as well as the Metropolis sampling method in the periodic potential has been improved.
解决了CTRW模型的跳跃步长和等待时间分布函数的可实现化问题,对Metropolis抽样方法进行了改进以适用于周期势。
2.
Metropolis sampling method is improved in the case of nonlinear potentials.
基于连续时间随机行走(CTRW)理论,实现反常扩散条件下对跳跃步长和等待时间分布函数的抽样,改进Metropolis抽样判定方法以适用于存在非线性势的情况。
4) Metropolis-Hasting sample
Metropolis-Hasting抽样
5) Metropolis-Hastings algorithm
Metropolis-Hastings算法
1.
This paper investigates one MCMC method known as the Metropolis-Hastings algorithm.
首先阐述Metropolis-Hastings算法实现的具体步骤,然后证明由此产生的Markov链满足细致平衡条件,从而以目标分布为不变分布。
2.
A multi-chain sampling method based on Metropolis-Hastings algorithm was used to improve the Markov Chain Monte Carlo(MCMC) method in order to prevent from trapped into the local optimal solutions that often occur to probability inversion by using current MCMC algorithm.
鉴于此,本文对基于Metropolis-Hastings算法的多链搜索的方法进行了改进,改进后的方法可以根据搜索结果实时调整链的个数,因而可以在搜索到尽可能多的解的同时节省了多链搜索的时间。
3.
The E-step is derived by Metropolis-Hastings algorithm to generate a sample for missing data,and the M-Step is done by Newton-Raphson to maximize the likelihood function.
其中,在期望步中利用Metropolis-Hastings算法产生一个缺失数据的样本,在最大化步中利用Newton-Raphson迭代使似然函数最大化。
6) fast Metropolis-Hastings
快速Metropolis-Hastings
1.
A genetic algorithm with arithmetic crossover,fast Metropolis-Hastings mutation and the roulette wheel selection improves resampling procedures for the standard particle filter.
将算术相加,快速Metropolis-Hastings移动作为遗传算法的交叉和变异算子,与赌轮选择一起作为粒子滤波重采样的一类方法。
补充资料：[3-(aminosulfonyl)-4-chloro-N-(2.3-dihydro-2-methyl-1H-indol-1-yl)benzamide]
分子式：C16H16ClN3O3S
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
分子量：365.5
CAS号：26807-65-8
性质：暂无
制备方法：暂无
用途：用于轻、中度原发性高血压。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条