arthegall + bayesian-networks   14

Pennock, Wellman, "Toward a Market Model for Bayesian Inference," (UAI 1996)
"We present a methodology for representing probabilistic relationships in a general-equilibrium economic model. Specifically, we define a precise mapping from a Bayesian network with binary nodes to a market price system where consumers and producers trade in uncertain propositions. We demonstrate the correspondence between the equilibrium prices of goods in this economy and the probabilities represented by the Bayesian network." -- (Noted in a link at this blog post: http://mblog.lib.umich.edu/strategic/archives/2009/09/market_reductio.html)
david-pennock  bayesian-networks  markets  uai  research-article  machinelearning 
september 2009 by arthegall
Schulte et al "Join Bayes Nets: A new type of Bayes net for relational data" (arXiv)
"Many databases store data in relational format, with different types of entities and information about links between the entities. The field of statistical-relational learning has developed a number of new statistical models for such data. Instead of introducing a new model class, we propose using a standard model class--Bayes nets--in a new way: Join Bayes nets contain nodes that correspond to the descriptive attributes of the database tables, plus Boolean relationship nodes that indicate the presence of a link." ---- Everyone's got their own flavor of "higher-order" graphical model.
probabilistic-methods  machinelearning  research-article  arxiv  bayesian-networks  relational-data 
december 2008 by arthegall
Das "Generating Conditional Probabilities for Bayesian Networks: Easing the Knowledge Acquisition Problem"
To read. "We invoke the methods of information geometry to demonstrate how these weighted sums capture the expert's judgemental strategy."
arxiv  research-article  bayesian-networks  graphical-models  elicited-models 
august 2008 by arthegall
Dominik Janzing, Bernhard Schoelkopf, "Causal inference using the algorithmic Markov condition"
I wish they wouldn't call them "causal graphs," when they're really just what (most) people call Bayesian networks. Maybe we could come to a compromise? "Causal-ish Graphs?"
bayesian-networks  arxiv  research-article  inference  causality  markov-models 
april 2008 by arthegall
Bayesian Poker Player - Monash BPP
An academic-research project (ongoing) to use Bayesian Networks in modeling opponents behavior, in a computer poker player.
python  bayesian-networks  poker  games  research  machinelearning 
august 2007 by arthegall
Bayesian Network tools in Java (BNJ)
Kansas State-developed package for Bayesian Networks in Java.
programming  bayesian-networks  machinelearning  library  java 
may 2007 by arthegall
JavaBayes 0.346
CMU-developed package for Bayesian Networks in Java.
programming  machinelearning  bayesian-networks  java  library  probability 
may 2007 by arthegall
Intel's Open-Source Probabilistic Networks Library (PNL)
"PNL is a full function, free, open source, graphical models library released under a BSD style license."
bayesian-networks  graphical-models  programming  library  intel  research  machinelearning 
march 2007 by arthegall
"Two Proposals for Causal Grammars," Griffiths and Tenenbaum
A paper on using 'causal grammars' to induce some Bayesian networks, but not others, on observed data.
bayesian-networks  graphs  grammar  journal-article  statistics  causality 
february 2007 by arthegall

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