Pages that link to "Item:Q1023456"
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The following pages link to A maximum likelihood approximation method for Dirichlet's parameter estimation (Q1023456):
Displaying 16 items.
- Analysis of empirical estimates obtained for Gibbs distribution parameters by the maximum likelihood method (Q465954) (← links)
- A note on parameter estimation in the multivariate beta distribution (Q1203680) (← links)
- On the exact maximum likelihood inference of Fisher-Bingham distributions using an adjusted holonomic gradient method (Q1704019) (← links)
- Method of Kim-zam: An algorithm for computing the maximum likelihood estimator (Q1825024) (← links)
- Regression for compositions based on a generalization of the Dirichlet distribution (Q2220315) (← links)
- An efficient parameter estimation method for generalized Dirichlet priors in naïve Bayesian classifiers with multinomial models (Q2417815) (← links)
- Probabilistic distance measures of the Dirichlet and beta distributions (Q2459565) (← links)
- Partially observable Markov decision processes incorporating (Q2629679) (← links)
- A fast lattice algorithm for PARCOR parameter estimation based on an approximate likelihood (Q3691045) (← links)
- Pseudo maximum likelihood estimation for the dirichlet-multinomial distribution (Q3738409) (← links)
- Maximum-likelihood estimation of the parameters of a four-parameter class of probability distributions (Q4725490) (← links)
- On the maximization of likelihoods belonging to the exponential family using a Levenberg–Marquardt approach (Q5106829) (← links)
- Recursive parameter estimation algorithm of the Dirichlet hidden Markov model (Q5107710) (← links)
- Maximizing Complex Likelihoods via Directed Stochastic Searching Algorithm (Q5172795) (← links)
- DIRICHLET DISTRIBUTION AND ESTIMATION OF PARAMETERS (Q5229462) (← links)
- An asymptotically efficient closed-form estimator for the Dirichlet distribution (Q6548904) (← links)
