Particle Markov chain Monte Carlo methods
Markov chain Monte Carlo and sequential Monte Carlo methods have emerged as the two main tools to sample from high dimensional probability distributions. Although asymptotic convergence of Markov chain Monte Carlo algorithms is ensured under weak assumptions, the performance of these algorithms is u...
Үндсэн зохиолчид: | Andrieu, C, Doucet, A, Holenstein, R |
---|---|
Формат: | Journal article |
Хэл сонгох: | English |
Хэвлэсэн: |
2010
|
Ижил төстэй зүйлс
Ижил төстэй зүйлс
-
Particle Markov chain Monte Carlo for efficient numerical simulation
-н: Andrieu, C, зэрэг
Хэвлэсэн: (2009) -
On nonlinear Markov chain Monte Carlo
-н: Andrieu, C, зэрэг
Хэвлэсэн: (2011) -
Interacting particle Markov chain Monte Carlo
-н: Doucet, A, зэрэг
Хэвлэсэн: (2016) -
On Markov chain Monte Carlo Methods for Tall Data
-н: Bardenet, R, зэрэг
Хэвлэсэн: (2017) -
SEQUENTIALLY INTERACTING MARKOV CHAIN MONTE CARLO METHODS
-н: Brockwell, A, зэрэг
Хэвлэсэн: (2010)