Maximum Likelihood Estimators on MCMC Sampling Algorithms for Decision Making.
Christos N. KarrasAristeidis KarrasMarkos AvlonitisIoanna GiannoukouSpyros SioutasPublished in: AIAI Workshops (2022)
Keyphrases
- maximum likelihood
- markov chain monte carlo
- decision making
- monte carlo
- metropolis hastings
- theoretical analysis
- computationally efficient
- particle filter
- markov chain
- importance sampling
- parameter estimation
- computational cost
- computational complexity
- data structure
- learning algorithm
- data mining
- optimization problems
- probabilistic model
- significant improvement
- sampling algorithm
- sampling strategy
- genetic algorithm