The following pages link to Optimization (Q5891796):
Displaying 50 items.
- Robust boosting with truncated loss functions (Q82723) (← links)
- An MM Algorithm for Split Feasibility Problems (Q150985) (← links)
- Laplace mixture autoregressive models (Q273686) (← links)
- Distance majorization and its applications (Q403660) (← links)
- Maximum likelihood estimation for incomplete multinomial data via the weaver algorithm (Q1616785) (← links)
- A survey on surrogate approaches to non-negative matrix factorization (Q1633790) (← links)
- Linear mixed models with marginally symmetric nonparametric random effects (Q1658992) (← links)
- Maximum likelihood estimation of triangular and polygonal distributions (Q1659022) (← links)
- Laplace mixture of linear experts (Q1660202) (← links)
- A globally convergent algorithm for Lasso-penalized mixture of linear regression models (Q1662084) (← links)
- An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions (Q1702013) (← links)
- Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics (Q1727860) (← links)
- Supervised dimensionality reduction via distance correlation maximization (Q1746548) (← links)
- Strictly log-concave probability distributions in discrete response models (Q2105354) (← links)
- Penalized and constrained LAD estimation in fixed and high dimension (Q2122803) (← links)
- Scalable proximal methods for cause-specific hazard modeling with time-varying coefficients (Q2134154) (← links)
- Dimensionality reduction for binary data through the projection of natural parameters (Q2201560) (← links)
- Backtracking gradient descent method and some applications in large scale optimisation. II: Algorithms and experiments (Q2234294) (← links)
- Severity modeling of extreme insurance claims for tariffication (Q2273978) (← links)
- A modified generalized Lasso algorithm to detect local spatial clusters for count data (Q2316749) (← links)
- Scale and curvature effects in principal geodesic analysis (Q2374401) (← links)
- Acceleration of expectation-maximization algorithm for length-biased right-censored data (Q2397795) (← links)
- On the hierarchical structure of Pareto critical sets (Q2423790) (← links)
- First-order methods almost always avoid strict saddle points (Q2425175) (← links)
- MM optimization algorithms (Q2826638) (← links)
- Algorithms for Fitting the Constrained Lasso (Q3391167) (← links)
- Iterative Proportional Scaling Revisited: A Modern Optimization Perspective (Q3391182) (← links)
- Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality (Q4997837) (← links)
- A User-Friendly Computational Framework for Robust Structured Regression with the L<sub>2</sub> Criterion (Q5057231) (← links)
- QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning (Q5067429) (← links)
- (Q5074079) (← links)
- Bayesian Optimal Design for Ordinary Differential Equation Models With Application in Biological Science (Q5130598) (← links)
- Revealing Subgroup Structure in Ranked Data Using a Bayesian WAND (Q5146041) (← links)
- Skew-symmetric endomorphisms in M1,n : a unified canonical form with applications to conformal geometry (Q5163536) (← links)
- Practical Optimization (Q5208922) (← links)
- On the Behavior of the Risk of a LASSO-Type Estimator (Q5283086) (← links)
- Analysis of the Parallel Schwarz Method for Growing Chains of Fixed-Sized Subdomains: Part I (Q5346011) (← links)
- Insurance Portfolio Risk Retention (Q5379241) (← links)
- A Block Successive Lower-Bound Maximization Algorithm for the Maximum Pseudo-Likelihood Estimation of Fully Visible Boltzmann Machines (Q5380400) (← links)
- Maximum Pseudolikelihood Estimation for Model-Based Clustering of Time Series Data (Q5380690) (← links)
- A cyclic algorithm for maximum likelihood estimation using Schur complement (Q5739748) (← links)
- A Priori Optimization (Q5753749) (← links)
- Modeling the Cholesky factors of covariance matrices of multivariate longitudinal data (Q5964276) (← links)
- Spatial clustering of time series via mixture of autoregressions models and Markov random fields (Q6064123) (← links)
- Graphical Tools for Detecting Departures from Linear Mixed Model Assumptions and Some Remedial Measures (Q6064687) (← links)
- Rational inattention with multiple attributes (Q6072234) (← links)
- Data augmentation for Bayesian deep learning (Q6122055) (← links)
- Nonparametric density estimation with nonuniform B-spline bases (Q6126078) (← links)
- Imputation strategies for clustering mixed-type data with missing values (Q6156307) (← links)
- PCA Sparsified (Q6176425) (← links)
