Results 291 to 300 of about 1,244,068 (326)
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1996
Abstract The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables.
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Abstract The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables.
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2012
Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years.
Højsgaard, Søren +2 more
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Graphical models in their modern form have been around since the late 1970s and appear today in many areas of the sciences. Along with the ongoing developments of graphical models, a number of different graphical modeling software programs have been written over the years.
Højsgaard, Søren +2 more
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2001
Mathematically, a Bayesian graphical model is a compact representation of the joint probability distribution for a set of variables. The most frequently used type of Bayesian graphical models are Bayesian networks. The structural part of a Bayesian graphical model is a graph consisting of nodes and edges.
Jensen, Finn Verner +1 more
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Mathematically, a Bayesian graphical model is a compact representation of the joint probability distribution for a set of variables. The most frequently used type of Bayesian graphical models are Bayesian networks. The structural part of a Bayesian graphical model is a graph consisting of nodes and edges.
Jensen, Finn Verner +1 more
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Graphical models in credit scoring
IMA Journal of Management Mathematics, 1998Abstract Graphical models simplify the analysis of multivariate observations by summarizing conditional independences in the data. Variables are represented by nodes. and the absence of an edge between two nodes signifies their conditional independence. While graphical modeling has been used in several applications of statistics.
Sewart, P., Whittaker, J.
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Discrete Graphical Models and Their Parameterization
2018This chapter is devoted to graphical models in which the observed variables are categorical, that is, whose state space consists of a finite number of values. The focus is on regression graph models, because this family of models allows us to approach discrete graphical models with a sufficient degree of generality.
Steffen L. Lauritzen +3 more
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2015
This chapter gives an introduction to causal modeling, in particular to causal Bayesian networks. It starts by introducing causal models and their importance. Then causal Bayesian networks are described, including two types of causal reasoning, prediction and counterfactuals.
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This chapter gives an introduction to causal modeling, in particular to causal Bayesian networks. It starts by introducing causal models and their importance. Then causal Bayesian networks are described, including two types of causal reasoning, prediction and counterfactuals.
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2013
This chapter is an introduction to the graphical approach for model generation. The concepts of “models” and “effects” are introduced. A tutorial approach is used to demonstrate how models can be created, tested, and simulated. The graphical approach to model abstraction is compared to a language-oriented approach and shown to be simpler and easier to ...
Peter R. Wilson, H. Alan Mantooth
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This chapter is an introduction to the graphical approach for model generation. The concepts of “models” and “effects” are introduced. A tutorial approach is used to demonstrate how models can be created, tested, and simulated. The graphical approach to model abstraction is compared to a language-oriented approach and shown to be simpler and easier to ...
Peter R. Wilson, H. Alan Mantooth
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
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