The following pages link to (Q3358073):
Displaying 50 items.
- On the relation between conditional independence models determined by finite distributive lattices and by directed acyclic graphs (Q1907644) (← links)
- Multigraph representations of hierarchical loglinear models (Q1918460) (← links)
- Effect of data transformations on predictive risk indicators (Q1930628) (← links)
- Sequences of regressions and their independences (Q1936537) (← links)
- Structural learning for Bayesian networks by testing complete separators in prime blocks (Q1942894) (← links)
- Bootstrap inference for network construction with an application to a breast cancer microarray study (Q1951540) (← links)
- High-dimensional structure learning of binary pairwise Markov networks: a comparative numerical study (Q2007999) (← links)
- Bayesian Lasso with neighborhood regression method for Gaussian graphical model (Q2013049) (← links)
- Mutual conditional independence and its applications to model selection in Markov networks (Q2023881) (← links)
- Context-specific independencies in stratified chain regression graphical models (Q2040108) (← links)
- Efficient distributed estimation of high-dimensional sparse precision matrix for transelliptical graphical models (Q2042144) (← links)
- High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood (Q2058896) (← links)
- On the interpretation of inflated correlation path weights in concentration graphs (Q2066728) (← links)
- A Bartlett-type correction for likelihood ratio tests with application to testing equality of Gaussian graphical models (Q2105404) (← links)
- Detection of hubs in complex networks by the Laplacian matrix (Q2131998) (← links)
- Contraction of a quasi-Bayesian model with shrinkage priors in precision matrix estimation (Q2156815) (← links)
- Efficient identification of independence networks using mutual information (Q2255845) (← links)
- Extracting informative variables in the validation of two-group causal relationship (Q2255923) (← links)
- Estimating and modeling spatio-temporal correlation structures for river monitoring networks (Q2259649) (← links)
- Variational approximations for categorical causal modeling with latent variables (Q2259879) (← links)
- Prediction and classification in nonlinear data analysis: something old, something new, something borrowed, something blue (Q2259888) (← links)
- Locally dependent latent trait model for polytomous responses with application to inventory of hostility (Q2259987) (← links)
- Collapsibility of contingency tables based on conditional models (Q2266896) (← links)
- A Kendall correlation coefficient between functional data (Q2303065) (← links)
- Modeling association in microbial communities with clique loglinear models (Q2318667) (← links)
- Book review of: N. Fenton and M. Neil, Risk assessment and decision analysis with Bayesian networks (Q2320912) (← links)
- High-dimensional generalized linear models incorporating graphical structure among predictors (Q2326055) (← links)
- Model-based clustering with sparse covariance matrices (Q2329799) (← links)
- Learning causal graphs of nonlinear structural vector autoregressive model using information theory criteria (Q2341588) (← links)
- Estimation of positive definite \(M\)-matrices and structure learning for attractive Gaussian Markov random fields (Q2341885) (← links)
- Statistical paleoclimate reconstructions via Markov random fields (Q2349575) (← links)
- On an interaction function for copulas (Q2350043) (← links)
- Asymmetric decomposability and persegram representation in coherent conditional probability theory (Q2354850) (← links)
- Fibers of multi-way contingency tables given conditionals: relation to marginals, cell bounds and Markov bases (Q2355167) (← links)
- Learning structures from data and experts (Q2364914) (← links)
- Graphical models for statistical inference and data assimilation (Q2371197) (← links)
- Experiments in stochastic computation for high-dimensional graphical models (Q2381758) (← links)
- Independence in multi-way contingency tables: S.N. Roy's breakthroughs and later develop\-ments (Q2382843) (← links)
- Three centuries of categorical data analysis: Log-linear models and maximum likelihood estima\-tion (Q2382860) (← links)
- MEBN: a language for first-order Bayesian knowledge bases (Q2389617) (← links)
- Introduction: Combining probability and logic (Q2390649) (← links)
- Marginal and simultaneous predictive classification using stratified graphical models (Q2418271) (← links)
- D-trace estimation of a precision matrix using adaptive lasso penalties (Q2418368) (← links)
- Sparse seemingly unrelated regression modelling: applications in finance and econometrics (Q2445741) (← links)
- Robust concentration graph model selection (Q2445761) (← links)
- Estimation of the Cholesky decomposition in a conditional independent normal model with missing data (Q2453867) (← links)
- Some collapsibility results for \(n\)-dimensional contingency tables (Q2457973) (← links)
- Collapsibility of regression coefficients and its extensions (Q2474383) (← links)
- A SINful approach to Gaussian graphical model selection (Q2474398) (← links)
- The hyper-Dirichlet process and its discrete approximations: The butterfly model (Q2489492) (← links)
