Browse Items (12 total)
- Collection: Volume 101 Tahun 2022
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BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood
Bayesian synthetic likelihood (BSL; Price, Drovandi, Lee, and Nott 2018) is a popular
method for estimating the parameter posterior distribution for complex statistical models
and stochastic processes that possess a computationally intractable…
method for estimating the parameter posterior distribution for complex statistical models
and stochastic processes that possess a computationally intractable…
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model
The stochastic block model is a popular probabilistic model for random graphs. It is
commonly used to cluster network data by aggregating nodes that share similar connectivity patterns into blocks. When fitting a stochastic block model to a…
commonly used to cluster network data by aggregating nodes that share similar connectivity patterns into blocks. When fitting a stochastic block model to a…