Let's estimate all parameters as probabilities: Precise estimation using Chebyshev's inequality, Bernoulli distribution, and Monte Carlo simulations.
Lubomír StepánekFilip HabartaIvana MaláLubos MarekPublished in: FedCSIS (2023)
Keyphrases
- parametric models
- monte carlo simulation
- parameter estimates
- monte carlo
- probability distribution
- conditional distribution
- maximum likelihood estimator
- markov chain
- transition probabilities
- random variables
- real valued
- confidence intervals
- accurate estimation
- probability mass
- class conditional
- minimum description length criterion
- exponential family
- normal distribution
- parameter estimation
- gaussian model
- nonlinear functions
- class membership
- maximum likelihood estimates
- joint distribution
- estimation error
- medical images