Pages that link to "Item:Q3608272"
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The following pages link to Simple and Globally Convergent Methods for Accelerating the Convergence of Any EM Algorithm (Q3608272):
Displaying 11 items.
- The Dynamic ‘Expectation–Conditional Maximization Either’ Algorithm (Q5743139) (← links)
- Accelerating the EM algorithm by smoothing: A special case (Q5961675) (← links)
- A Unifying Framework and Comparison of Algorithms for Non‐negative Matrix Factorisation (Q6064337) (← links)
- A semiparametric joint model for cluster size and subunit‐specific interval‐censored outcomes (Q6079684) (← links)
- Randomized extrapolation for accelerating EM-type fixed-point algorithms (Q6097563) (← links)
- A fast and efficient estimation of the parameters of a model of accident frequencies via an MM algorithm (Q6097686) (← links)
- Alternating cyclic vector extrapolation technique for accelerating nonlinear optimization algorithms and fixed-point mapping applications (Q6126026) (← links)
- Log-Gaussian Cox process modeling of large spatial lightning data using spectral and Laplace approximations (Q6179115) (← links)
- A hybrid method for density power divergence minimization with application to robust univariate location and scale estimation (Q6573067) (← links)
- Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments (Q6621646) (← links)
- Lasso estimation of hierarchical interactions for analyzing heterogeneity of treatment effect (Q6628229) (← links)