Characterization of Meteorological Drought Using Monte Carlo Feature Selection and Steady-State Probabilities.
Rizwan NiazFahad TanveerMohammed M. A. AlmazahIjaz HussainSoliman AlkhatibA. Y. Al-RazamiPublished in: Complex. (2022)
Keyphrases
- monte carlo
- steady state
- markov chain
- feature selection
- transition probabilities
- monte carlo simulation
- importance sampling
- product form
- explicit expressions
- operating conditions
- stationary distribution
- queue length
- markovian decision
- monte carlo tree search
- machine learning
- arrival rate
- state dependent
- steady states
- queueing networks
- state space
- monte carlo methods
- support vector machine
- probability distribution
- adaptive sampling
- model selection
- point processes
- markov chain monte carlo
- matrix inversion
- queueing model
- confidence intervals
- learning algorithm