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What is sampling, why do we need different sampling strategies, some examples
Algorithms we should cover with source code-
1. Uniform Random Sampling
2. Snowball Sampling
3. Forest Fire Samp…
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Instead of implementing MCMC itself, this package could use the AbstractMCMC.jl interface to do sampling. This would enable various MCMC flavors in different packages to be used for the sampling, e.g.…
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Now that a core model set is available, it is time to look to optimize the code to allow for quicker estimation and scalability to larger datasets.
**Model**
- [x] ARIMA models
- [ ] GARCH models
- […
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I've been looking around for a Clojure implementation of sampling algorithms for arbitrary PDFs and there don't seem to be any. Specifically, I'm looking for Inverse Transform Sampling, (Adaptive) Re…
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我对MCPG算法的代码又进行了简化，简化后只有 300行内。有两个地方我看不懂，希望大家讨论后一起弄懂。
1. 我想要知道MCPG代码里这个采样方法对应论文的哪里？论文是否提及了？[Metropolis-Hastings sampling](https://github.com/AI4Finance-Foundation/RLSolver/blob/16bdc79fcefe1e044fe0b…
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Hello!Thank you for developing Brie!
Recently I tried to visualize sashimi plot with Brie2's h5ad files.
However,I noticed that I had to use Brie1's results(samples.csv.gz)to draw the sashimi plot …
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When running the Metropolis-Hastings sampling the code fails with the following error:
Error in mh(data, max.steps = 1e+05, skip.console = 1000, skip.log = 100) :
(list) object cannot be coerce…
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Hello,
I am working on a robotics application where I am interested in learning the motion and measurement model parameters of a ground robot, and wanted to know if the the Bayesian inference metho…
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您好，
在mh.m和论文报告中，关于Metropolis-Hastings 算法，提议分布就是状态转移的跳转概率。
若用均匀分布作为提议，x-->y和y-->x的概率是相同的可以约去。
但是如果用了正态分布和指数分布，这个相互跳转的概率还相同嘛？怎么理解？
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I run the same code by changing the initial slope parameter to m = 4. The first time I get an acceptance fraction: 0.2748 the second time 0.0.
I did a plot to see how the slope parameter varies with e…