statistics and computing penalized estimation of directed acyclic graphs from discrete dataCoordinate descentDiscrete Bayesian networkMulti-logit regressionStructure learningGroup norm penaltyBayesian networks, with structure given by a directed acyclic graph (DAG), are a popular class of graphical models. ...
有向无环图 (DAG) Stata 实现及范例 Directed acyclic graph (DAG) in Epidemiology链接 Directed acyclic graphs (DAGs): an aid to assess confounding in dental research链接链接 发布于 2021-03-01 08:31 赞同4 分享收藏 写下你的评论... 1 条评论 默认 最新 Ava不似你所见 nice!
A more technical introduction is Causal Inference in Statistics: A Primer. See also his article with Sander Greenland and James Robins on collapsibility: Confounding and Collapsibility in Causal Inference. Miguel Hernán, who has written extensively on the subject of causal inference and DAGs, has ...
Markovian acyclic directed mixed graphs for discrete data. Annals of Statistics, accepted for publication. abs/1301.6624.EVANS, R. J. and RICHARDSON, T. S. (2014). Markovian acyclic directed mixed graphs for discrete data. Ann. Statist. 42 1452-1482. MR3262457...
J K?Nig,U Krahn,H Binder - 《Statistics in Medicine》 被引量: 62发表: 2013年 Statistical Causality from a Decision-Theoretic Perspective directed acyclic graphdynamic treatment strategyeffect of treatment on the treatedmoralizationWe present an overview of the decision-theoretic fA. Philip Dawid.....
We propose a new parametric model for the precision matrix based on a directed acyclic graph (DAG) representation of the spatial dependence. Our model guarantees positive definiteness and, hence, in addition to being a valid prior for regional spatially correlated random effects, can also directly ...
摘要: This chapter contains sections titled: Directed acyclic graphs, Topological sorting, How to represent a directed graph, Running time of topological sorting, Critical path in a PERT chart, Shortest path in a directed acyclic graph, Further reading...
A directed acyclic graph (DAG) can be thought of as a kind of flowchart that visualizes a whole causal etiological network, linking causes and effects. In epidemiology, the terms causal graph, causal diagram, and DAG are used as synonyms (Greenland et al. 1999). DAGs are considered to be...
Statistics - Machine LearningDirected graphs occur throughout statistical modeling of networks, and exchangeability is a natural assumption when the ordering of vertices does not matter. There is a deep structural theory for exchangeable undirected graphs, which extends to the directed case, but with ...
regression equation.Compared with the methods presented by Resle and Alessio,the method based on statistics can be performed easily and lead to unique directed acyclic graph for the current variables.Finally,two simulation examples show the practicability and efficiency of the method presented in this...