query: MH algorithm, how much samples should be discarded?(how many burn ins)
positive_passages.docid: 17478
positive_passages.text: burn in for Metropolis Hastings MCMC
negative_passages.docid: 153285
negative_passages.text: Is hyperparameter tuning on sample of dataset a bad idea?
negative_passages.docid: 89597
negative_passages.text: How many passes are enough with Memtest?
negative_passages.docid: 148329
negative_passages.text: Optimising 2D binning code
negative_passages.docid: 7978
negative_passages.text: How to initialize EM-algorithm when trying to fit data to a separable mixture model?
negative_passages.docid: 33329
negative_passages.text: Can I make conclusions with two independent samples?
negative_passages.docid: 114711
negative_passages.text: Exact Sampling from Improper Mixtures
negative_passages.docid: 87076
negative_passages.text: Is there a standard way to Determine Sample Size when doing Bayesian Inference?
negative_passages.docid: 17834
negative_passages.text: Calculating the optimal number of bins for severely skewed data
negative_passages.docid: 148000
negative_passages.text: Sampling with replacement or without replacement
negative_passages.docid: 71909
negative_passages.text: When best to use Multi-Zone/Matrix, Spot, or Center-Weight exposure metering modes?
negative_passages.docid: 70045
negative_passages.text: Can we use bootstrap samples that are smaller than original sample?
negative_passages.docid: 79483
negative_passages.text: How do I sample from a discrete (categorical) distribution in log space?
negative_passages.docid: 18947
negative_passages.text: How small a quantity should be added to x to avoid taking the log of zero?
negative_passages.docid: 103506
negative_passages.text: 10% rule for sample sizes
negative_passages.docid: 58560
negative_passages.text: How to decide on the correct number of clusters?
negative_passages.docid: 123431
negative_passages.text: Good text for resampling?