scientific article
From MaRDI portal
zbMath0880.62124MaRDI QIDQ3125701
Publication date: 19 March 1997
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Multivariate analysis (62H99) Applications of statistics to social sciences (62P25) Research exposition (monographs, survey articles) pertaining to statistics (62-02)
Related Items
Evaluation of Community-Intervention Trials via Generalized Linear Mixed Models, Every LWF and AMP Chain Graph Originates from a Set of Causal Models, Factorization, Inference and Parameter Learning in Discrete AMP Chain Graphs, Conditional phase-type distributions for modelling patient length of stay in hospital, Joint Response Graphs and Separation Induced by Triangular Systems, Graphical chain models for the analysis of complex genetic diseases: an application to hypertension, On a Dualization of Graphical Gaussian Models: A Correction Note, Seeing and Doing: the Concept of Causation, Dimension Reduction with Linear Discriminant Functions Based on an Odds Ratio Parameterization, Copula density estimation by finite mixture of parametric copula densities, Linear algebra and multivariate analysis in statistics: development and interconnections in the twentieth century, Proportion of treatment effect mediated by surrogate endpoints, Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach, A historical overview of textbook presentations of statistical science, Causality in extremes of time series, General mixed-data model: Extension of general location and grouped continuous models, Classification with discrete and continuous variables via general mixed-data models, Optimizing a control plan using a structural equation model with an application to statistical process analysis, AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms, Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings, Binary Models for Marginal Independence, Graphical and phase space models for univariate time series, Combining Graphical Models and PCA for Statistical Process Control, Graphical lassos for meta‐elliptical distributions, Biostatistics in the new millennium: a consulting statistician's perspective, Compatible Prior Distributions for Directed Acyclic Graph Models, Chain Graph Models and their Causal Interpretations, Consecutive collapsibility of odds ratios over an ordinal background variable, A focused information criterion for graphical models, A Unified Approach to the Characterization of Equivalence Classes of DAGs, Chain Graphs with no Flags and Chain Graphs, Graphical Models for Marked Point Processes Based on Local Independence, Multinomial-Poisson models subject to inequality constraints, Statistical modelling of gained university credits to evaluate the role of pre-enrolment assessment tests: An approach based on quantile regression for counts, Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI, Markov Properties for Acyclic Directed Mixed Graphs, On Block Ordering of Variables in Graphical Modelling, Log‐mean Linear Parameterization for Discrete Graphical Models of Marginal Independence and the Analysis of Dichotomizations, Unnamed Item, Bayesian networks for discrete multivariate data: An algebraic approach to inference, What is a statistical model? (With comments and rejoinder)., Causal discovery in heavy-tailed models, Conditional independence and conditioned limit laws, Granger causality and path diagrams for multivariate time series, DAG representation of asymmetric independence models arising in coherent conditional possibility theory, Markov equivalence for ancestral graphs, Graphical models for statistical inference and data assimilation, Construction of asymmetric copulas and its application in two-dimensional reliability modelling, Independence in multi-way contingency tables: S.N. Roy's breakthroughs and later develop\-ments, Dynamic path analysis -- a new approach to analyzing time-dependent covariates, Graphical models for imprecise probabilities, A characterization of Markov equivalence classes for acyclic digraphs, Partial inversion for linear systems and partial closure of independence graphs, A General Dynamical Statistical model with Causal Interpretation, On the impact of contaminations in graphical Gaussian models, The relation between theory and application in statistics. (With discussion), Chain graphs for multilevel models, A computational algebraic-geometry method for conditional-independence inference, Conditional independence graph for nonlinear time series and its application to international financial markets, Discrete chain graph models, Markov equivalence of marginalized local independence graphs, Determining full conditional independence by low-order conditioning, Monotone dependence in graphical models for multivariate Markov chains, Causal effect identification in acyclic directed mixed graphs and gated models, A note on marginal and conditional independence, Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models, A characterization of moral transitive acyclic directed graph Markov models as labeled trees., Sequences of regressions and their independences, Acyclic directed graphs representing independence models, On expressiveness of the chain graph interpretations, Learning marginal AMP chain graphs under faithfulness revisited, Logicist statistics. I: Models and modeling, Graphical models for multivariate Markov chains, Wishart distributions for decomposable covariance graph models, Copula density estimation by total variation penalized likelihood with linear equality constraints, Graphical models for inference under outcome-dependent sampling, Stable mixed graphs, Chain graph models of multivariate regression type for categorical data, Probability distributions with summary graph structure, Graphical modelling of multivariate time series, Bootstrap inference for network construction with an application to a breast cancer microarray study, Identification of graphical models for nonignorable nonresponse of binary outcomes in longitudinal studies, Triangular systems for symmetric binary variables, High dimensional sparse covariance estimation via directed acyclic graphs, Learning AMP chain graphs and some marginal models thereof under faithfulness, Multiple testing and error control in Gaussian graphical model selection, Robust concentration graph model selection, Towards classification of semigraphoids., Marginal AMP chain graphs, Local structure recovery of chain graphs after marginalization, A short note on the dependence structure of random vectors, Identification of causal effects in linear models: beyond instrumental variables, A decomposition-based algorithm for learning the structure of multivariate regression chain graphs, Interpretation of interaction: a review, An alternative matrix skew-normal random matrix and some properties, Estimation of the value at risk using the stochastic approach of Taylor formula, Parallel coordinates for exploratory modelling analysis, Copula directed acyclic graphs, A SINful approach to Gaussian graphical model selection, Conditional independence structure and its closure: inferential rules and algorithms, Testing nonparametric and semiparametric hypotheses in vector stationary processes, Exploiting independencies to compute semigraphoid and graphoid structures, A PC algorithm variation for ordinal variables, Spanning trees and identifiability of a single-factor model, Temporal aggregation in chain graph models, A graphical chain model for inferring regulatory system networks from gene expression profiles, Characterizing Markov equivalence classes for AMP chain graph models, On a hypergraph probabilistic graphical model, Alternating direction method for covariance selection models, A scoring criterion for learning chain graphs, Racing algorithms for conditional independence inference, Network models for social influence processes, Bayesian inference for graphical factor analysis models, Graphs as navigational infrastructure for high dimensional data spaces, Decomposition of two classes of structural models, A Bayesian approach to model interdependent event histories by graphical models, Exact variance formula for the estimated mean outcome with external intervention based on the front-door criterion in Gaussian linear structural equation models, On chain graph models for description of conditional independence structures, A graphical characterization of the largest chain graphs, On the inclusion of bivariate marked point processes in graphical models, On Granger causality and the effect of interventions in time series, A review of Gaussian Markov models for conditional independence, A recovery algorithm for chain graphs, On the Estimation Accuracy of Causal Effects using Supplementary Variables, Minimal sufficient causation and directed acyclic graphs, Conditional independence of multivariate binary data with an application in caries research, Normal linear regression models with recursive graphical Markov structure, On the interpretation of inflated correlation path weights in concentration graphs, Gaussian covariance faithful Markov trees, Some perspectives on inference in high dimensions, Testing coefficients of AR and bilinear time series models by a graphical approach, Assessment of the effect of constraints in a new multivariate mixed method for statistical matching, Customized structural elicitation, Implications of faithfulness in graphical models, Geometry, moments and conditional independence trees with hidden variables., Separation and completeness properties for AMP chain graph Markov models., Ancestral graph Markov models., Chain graph interpretations and their relations revisited, On collapsibilities of Yule's measure
