An adaptive parallel tempering algorithm
Parallel tempering is a generic Markov chainMonteCarlo samplingmethod which allows good mixing with multimodal target distributions, where conventionalMetropolis- Hastings algorithms often fail. The mixing properties of the sampler depend strongly on the choice of tuning parameters, such as the temp...
Prif Awduron: | Miasojedow, B, Moulines, E, Vihola, M |
---|---|
Fformat: | Journal article |
Iaith: | English |
Cyhoeddwyd: |
2013
|
Eitemau Tebyg
-
On the stability and ergodicity of adaptive scaling Metropolis algorithms
gan: Vihola, M
Cyhoeddwyd: (2011) -
Robust adaptive Metropolis algorithm with coerced acceptance rate
gan: Vihola, M
Cyhoeddwyd: (2012) -
On the ergodicity of the adaptive Metropolis algorithm on unbounded domains
gan: Saksman, E, et al.
Cyhoeddwyd: (2010) -
Grapham: Graphical models with adaptive random walk Metropolis algorithms
gan: Vihola, M
Cyhoeddwyd: (2010) -
Can the adaptive metropolis algorithm collapse without the covariance lower bound?
gan: Vihola, M
Cyhoeddwyd: (2011)