MCMC:Method 4 : MH Random walk with autoregressive chains

时间 2021-01-02

标签 R语言繁體版

原文原文链接

require(mvtnorm) mu <- c(1,2) cov_mat <- matrix(c(1, 0.9, 0.9, 1), 2, 2, TRUE) set.seed(1) sample_chol <- rmvnorm(2000, mu, cov_mat) x1<-sample_chol[,1] y1<-sample_chol[,2] sample_val <- function(x) {

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1. MCMC:Method 2 : MH Random walk with normal increments
2. Random Walk
3. Random Walk Simulation (Python)
4. HDU7016 Random Walk 2
5. Random Walk and Personalized Pagerank
6. Random Walk（随机游走）
7. DeepAR:Probabilistic forecasting with autoregressive recurrent network
8. leetcode copy List with Random
9. LeetCode:Copy List with Random Pointer
10. 138. Copy List with Random Pointer

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