The following pages link to (Q4382293):
Displaying 50 items.
- A self-calibrated direct approach to precision matrix estimation and linear discriminant analysis in high dimensions (Q829737) (← links)
- Tests for differential Gaussian Bayesian networks based on quadratic inference functions (Q830113) (← links)
- Bayesian regularization of Gaussian graphical models with measurement error (Q830423) (← links)
- Bayesian estimation of the precision matrix with monotone missing data (Q831324) (← links)
- Markov equivalence for ancestral graphs (Q834365) (← links)
- Exploring gene causal interactions using an enhanced constraint-based method (Q850154) (← links)
- Selecting models with different spectral density matrix structures by the cross-validated log likelihood criterion (Q850743) (← links)
- Learning decomposable Markov networks in pseudo-independent domains with local evaluation (Q851873) (← links)
- Inference of structures of models of probabilistic dependences from statistical data (Q852242) (← links)
- Bayesian model learning based on predictive entropy (Q853783) (← links)
- Partial inversion for linear systems and partial closure of independence graphs (Q855285) (← links)
- Extremal rays and duals for cones of positive definite matrices with prescribed zeros (Q855565) (← links)
- Improving on the maximum likelihood estimators of the means in Poisson decomposable graphical models (Q864277) (← links)
- Bayesian analysis of population structure based on linked molecular information (Q870408) (← links)
- Chain graphs for multilevel models (Q871016) (← links)
- A dynamic generating graphical model for point-sets matching (Q872376) (← links)
- Algebraic factor analysis: tetrads, pentads and beyond (Q880940) (← links)
- A mathematical view of weights-of-evidence, conditional independence, and logistic regression in terms of Markov random fields (Q887579) (← links)
- Stochastic approximation Monte Carlo importance sampling for approximating exact conditional probabilities (Q892799) (← links)
- Conditional independence among max-stable laws (Q893441) (← links)
- Learning marginal AMP chain graphs under faithfulness revisited (Q895520) (← links)
- Training restricted Boltzmann machines: an introduction (Q898295) (← links)
- The performance of covariance selection methods that consider decomposable models only (Q899046) (← links)
- Stratified graphical models -- context-specific independence in graphical models (Q899060) (← links)
- Critical exponents of graphs (Q899490) (← links)
- On a nonparametric notion of residual and its applications (Q899668) (← links)
- On the closure of relational models (Q900826) (← links)
- An interpretation of the dual problem of the THREE-like approaches (Q901098) (← links)
- High dimensional posterior convergence rates for decomposable graphical models (Q902216) (← links)
- Graphical models for inference under outcome-dependent sampling (Q906534) (← links)
- Explicit estimators under \(m\)-dependence for a multivariate normal distribution (Q907081) (← links)
- A note on the Lasso for Gaussian graphical model selection (Q927362) (← links)
- Quantum graphical models and belief propagation (Q935111) (← links)
- Conditional independence between two variables given any conditioning subset implies block diagonal covariance matrix for multivariate Gaussian distributions (Q947201) (← links)
- Discrete mixtures in Bayesian networks with hidden variables: a latent time budget example (Q951822) (← links)
- Split models for contingency tables (Q951894) (← links)
- Extreme inaccuracies in Gaussian Bayesian networks (Q953854) (← links)
- Bayesian stochastic modelling for avalanche predetermination: from a general system framework to return period computations (Q954668) (← links)
- Moments of minors of Wishart matrices (Q955141) (← links)
- A sparse matrix approach to Bayesian computation in large linear models (Q956783) (← links)
- Technological modelling for graphical models: an approach based on genetic algorithms (Q957013) (← links)
- Sequential category aggregation and partitioning approaches for multi-way contingency tables based on survey and census data (Q958326) (← links)
- A divide-and-conquer approach in applying EM for large recursive models with incomplete categorical data (Q959190) (← links)
- Enumerating the decomposable neighbors of a decomposable graph under a simple perturbation scheme (Q961265) (← links)
- Tests for Gaussian graphical models (Q961382) (← links)
- Data-driven neighborhood selection of a Gaussian field (Q962389) (← links)
- Bayesian classifiers based on kernel density estimation: flexible classifiers (Q962861) (← links)
- A reconstruction algorithm for the essential graph (Q962864) (← links)
- Conditional independence structure and its closure: inferential rules and algorithms (Q962920) (← links)
- Faithfulness in chain graphs: the discrete case (Q962944) (← links)
