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1. Material on Bayesian networks and related topics
- www.cs.helsinki.fi
- Material on Bayesian networks and related topics.
- Below you will find a collection of links related to research on Bayesian networks. ...
- Petri Myllymäki, Henry Tirri: Prospects of Bayesian networks (in Finnish), Technology Survey 58/98, Technology Development Center (TEKES), 1998. ...
- Bayesians Worldwide Complex Systems Computation Group (CoSCo), University of Helsinki Automated Learning group, NASA Microsoft Research Decision Theory & Adaptive Systems Decision Support Systems, Aalborg University Bayesian Knowledge Discovery Project, The Open University Decision Systems Laboratory, University of Pittsburgh Mixture Modelling AIGroup Home Page, Cantabria University/Cornell University HOME PAGE Group UTAI Universidad de Granada .
- Petri Myllymäki, Henry Tirri: Prospects of Bayesian networks (in Finnish), Technology Survey 58/98, National Technology Agency, 1998. Bayesian network tutorials TP Minka's tutorial notes Probabilistic Thinking BIPS: Bayesian Inference for the Physical Sciences Bayes Bayes Theorem Bayesian Network Repository September 1993 Issue - Belief Networks AFIT Artificial Intelligence Laboratory Home Page Artificial Intelligence II Course Notes on Bayesian Networks Introduction to Temporal Bayesian Networks Bayesian Networks at UGAI'97 Bayesian Links Introduction to Probability Theory Bayesian Belief Networks Bayesian Network Demos Pointers to literature.
- Pointers to Bayesian Networks Literature INFORMS/SDA - Decision Analysis Books .
- UAI maillist archive by thread The Society for Artificial Intelligence & Statistics HSSS Assoc for Uncertainty in AI Society for AI and Statistics International Society for Bayesian Analysis (ISBA) ASA Section on Bayesian Statistical Sciences European Association for Decision Making Decision Analysis Society Home Page Society for Risk Analysis: Risk Assessment, Characterization, Management, Communication, and Policy Classification Society of North America UAI maillist archive by thread .
- Microsoft believes in Bayesian networks Reasons for using Bayesian nets Deployed Bayesian net systems in routine use .
- AI systems in routine clinical use Microsoft Troubleshooters Microsoft Onparenting Talaria: A Hypermedia Assistant for Cancer Pain Management Lumiere, Microsoft's intelligent operating system Super-resolution images (NASA) NASA Mission control (the VISTA system) Lockheed underwater vehicle control General Electric Aircraft Engine Design Turbo coding IntelliPath ProbSy Bayesian Network Mobile Robot Heart Disease Program Decision Systems Laboratory: Hailfinder AFIT Artificial Intelligence -- Bayesian Networks Research Applications Hugin Applications .
- ANALYTICA Baron (KC Associates) BAYBUILDER (SNN, University of Nijmegen) BAYES (CMU) Bayes Net Applet (Michel Cline) BAYONNET (ETL) BELIEF (Russel Almond) BIFROST (Bo Thiesson) BKD: Bayesian Knowledge Discoverer (Marco Ramoni) BUGS (MRC Biostatistics Unit, Cambridge, UK ) CoCo (Jens Henrik Badsberg) DATA (TreeAge) Decision Tools Suite (Palisade) DPL: Decision Programming Language (Applied Decision Analysis) DX Solution Series (Knowledge Industries) ElimBel Ergo/Cogito (Noetic Systems) GRAPHICAL-BELIEF (Russell Almond) HUGIN (Hugin Expert) IDEAL (Rockwell International Science Center) JAVABAYES (Fabio Gozman) MacEvidence (Prakash Shenoy) Microsoft Belief Network Tools MSBN (Microsoft) MIM (Hypergraph)) NETICA (Norsys Software) Pulcinella (IRIDIA) S-ElimBel (Nicholas Thiery) Software Package by Radford Neal SPI (Bruce D'Ambrosio) STRATEGIST (Prevision) TETRAD (Carnegie-Mellon University) TresBel (Hong Xu XBaies (Robert Cowell) X-pert (AI Group, Cantabria University) XPress (Mark Stitson) .
- Software for Belief Networks Free Bayesian Network Packages Mixture modelling, Clustering, Intrinsic classification, Unsupervised learning and Mixture modeling .
- Bayesian Networks and Software Risk Assessment at Agena Applied Decision Analysis Bayesian Systems Bayesware Limited Decisioneering Hugin Expert Hugin Expert A/S - Home Page Kalamation International, LLC: Java Software Freeware and Outsourcing, Data Modeling and Analysis, Curve Fitting, Bayesian Networks Knowledge Industries Lumina Decision Systems Microsoft Noetic Systems Norsys Software Palisade Corporation Prevision Inc. ...
2. ASA Section on Bayesian Statistical Science
- www.amstat.org
- Bayesian Statistical Science .
- Scott Berry -- "Adaptive Bayesian Clinical Trials" .
- Robert Kohn and Chris Carter -- "Bayesian methods for Multivariate Regression: Variable Selection and Covariance models" .
- Jun Liu -- "Monte Carlo Methods in Bayesian Modeling with Applications to Bioinformatics" .
- Peter Mueller and Jack Lee -- "Bayesian Clinical Trial Design" .
- Bruno Sansó -- "Bayesian Inference" .
- Useful sites for Bayesian statistics - help us grow this site by submitting information. ...
- Who's who in the Section on Bayesian Statistics, plus past officers. ...
3. Qualitative Verbal Explanations in Bayesian Belief Networks
- www.pitt.edu
- Qualitative Verbal Explanations in Bayesian Belief Networks.
- Abstract: Application of Bayesian belief networks in systems that interact directly with human users, such as decision support systems, requires effective user interfaces. ... We describe several methods for automatic generation of qualitative verbal explanations in systems based on Bayesian belief networks. ...
- Keywords: Explanation, Bayesian belief networks, qualitative probabilistic networks The full paper is available in PostScript (210KB) format. ...
4. Bayesian Model Averaging Home Page
- www.research.att.com
- Bayesian Model Averaging Home Page.
- Bayesian Model Averaging is a technique designed to help account for the uncertainty inherent in the model selection process, something which traditional statistical analysis often neglects. ...
- Bayesian Model Averaging Software.
- Bayesian Model Averaging for Generalized Linear Models: bic. ...
- Bayesian Model Averaging for Proportional hazard models: bic. ...
- Bayesian Model Averaging for linear regression: bicreg .
- Bayesian Model Averaging for logistic regression: bic. ...
- Bayesian generalized linear modeling and model comparison: glib.
- shar is a collection of programs that perform Bayesian simultaneous variable selection and outlier identification (SVO) via Markov chain Monte Carlo model composition (MC^3). ...
- glm: code for implementing BMA as found in "The Use of Bayesian Model Averaging to better represent uncertainty in ecological models. ...
- Crime dataset and f77 code implementing Markov chain Monte Carlo model composition (MC^3) in "Benchmark Priors for Bayesian Model Averaging". ...
- Bayesian Model Averaging Papers.
- "Using Bayesian Model Averaging to Calibrate Forecast Ensembles. ...
- "Long-Run Performance of Bayesian Model Averaging" Adrian E. ... Journal of Computational and Graphical Statistics 11 (485-507) Variable selection and Bayesian model averaging in epidemiological case-control studies. ... Model Uncertainty in Cross-Country Growth Regressions Carmen Fernandez, Eduardo Ley, and Mark Steel (2001) Journal of Applied Econometrics 16 (563-576) All papers by Fernandez/Ley/Steel can also be found here Benchmark Priors for Bayesian Model Averaging Carmen Fernandez, Eduardo Ley, and Mark Steel (2001) Journal of Econometrics 100 (381-427) Bayesian information criterion for censored survival models Chris Volinsky and Adrian E. Raftery (2000) Biometrics 56 (256-262) The choice of variables in multivariate regression: a non-conjugate Bayesian decision theory approach P. ... (1999) Biometrika, 86 Bayesian Model Averaging (review paper) PDF Version Jennifer Hoeting, David Madigan, Adrian Raftery and Chris Volinsky (1999) Statistical Science 14, 382-401. ... Please access the paper from the link above, and not from the journal itself) Bayesian model order determination and basis selection for seemingly unrelated regressions C. ... Denison (1999) Technical Report, Statistics Section, Department of Maths, Imperial College Bayesian Wavelength Selection in Multicomponent Analysis P. ... Multivariate Bayesian Variable Selection and Prediction P. ... Benchmark Priors For Bayesian Model Averaging Carmen Fernandez, Eduardo Ley, Mark F. ... Documento de Trabajo 98-06, Fedea, Madrid, Spain 1998 Bayesian Model Averaging in Proportional Hazard Models: Predicting the Risk of a Stroke Chris Volinsky, David Madigan, Adrian E. ... Bayesian Model Averaging for Censored Survival Models Chris Volinsky (1997).
5. libbpfl - Bayesian Probability Filtering Library
- libbpfl.sourceforge.net
- libbpfl - Bayesian Probability Filtering Library.
- The Bayesian Probability Filtering Library ( BPFL ) is a C++ library library intended for creation of Bayesian Filtering Programs. If you don't know what Bayesian Filters are, please read the documentation top page.
- Although there are currently at least three mail filters using Bayesian filtering, the filter is being written as an example of how to use the library.
6. Introduction to Bayesian Statistics
- bidug.pnl.gov
- Introduction to Bayesian Statistics.
- Introduction to Bayesian Statistics.
- Bayesian Approach: An Identity.
- Bayesian Approach: Law of Total Probability 1.
- Bayesian Approach: Law of Total Probability 2.
- Bayesian Approach: The Prior Probability 1.
- Bayesian Approach: The Prior Probability 2.
- Bayesian Approach for Background Only.
- Bayesian Approach for Background Only.
- Bayesian Approach.
- References for Bayesian N+1 Result Using a Flat Prior.
- Quasi-Bayesian Statistics: Relationships Among Observed Quantities.
- Bayesian Approach for Background and Gross Counts: Joint Likelihood 1.
- Bayesian Approach for Background and Gross Counts: Joint Likelihood 2.
- Bayesian Approach: Limitations.
7. Bayes Days at LANL
- public.lanl.gov
- Tutorial and Workshop on Bayesian Analysis .
- Bayesian Reasoning in Physics: Principles and Applications .
- In Bayesian inference, probability is the measure of the degree of belief in a hypothesis, which is a very intuitive notion. ... The lessons will deal with uncertainty arising from measurements: inference on the value of a physics quantity from experimental observations (examining in depth the cases of observations following Gaussian, binomial and Poisson distributions); combinations of results; upper/lower limits and their combination; hypothesis tests versus probabilities of the hypotheses; systematic errors and the correlations they induce; simplified methods for routine applications (by-passing the explicit use of Bayes' theorem); type A and type B uncertainties (according to BIPM/ISO); recovery of many standard methods, but in the context of the Bayesian approach; multidimensional unfolding. ...
- The lecture notes for this course, taught in 1998 at CERN, have been finalized and issued as a CERN Yellow Report 99-03, July 1999 (vi + 175 pages) under the title ``Bayesian reasoning in high energy physics. ...
- Part 2 - Bayesian primer, .
- For a short bibliography on Bayesian inference, look at (ps, 75 KB), (pdf, 62 KB), (LaTeX BiB, 9 KB) .
- Workshop on Bayesian Data Analysis .
- We invite you to participate in a two-day Bayesian Data Analysis Workshop in the afternoons following the morning tutorial. ...
- 1:30 "Bayesian Estimation of Trends in the Scram Rate at Nuclear Power Plants," Harry Martz, TSA-1 (Abstract) .
- 1:30 "Bayesian Inference and Ill-Posed Inverse Problems," David Schmidt, P-21 (Abstract) .
8. IDIS Lab - Bayesian Networks Resources
- excalibur.brc.uconn.edu
- Bayesian Networks .
- Bayesian Networks is a model for representing uncertainty in our knowledge. ...
- Bayesian Networks use probability theory to manage uncertainty by explicitly representing the conditional dependencies between the different knowledge components. ...
- These Web pages have been developed to provide a source of information on Bayesian Networks including a tutorial, current research efforts, commercial applications as well as tools for construction. ...
- Bayesian Network Resources .
- Introduction to Bayesian Networks and general references .
- Basic research in Bayesian Networks .
- Current research on various applications of Bayesian Networks mainly focusing on preliminary studies and approaches .
- Fielded/commercial systems using Bayesian Networks .
- Discussions on building/using Bayesian Networks .
- Tools for constructing/using Bayesian Networks .
- Bibliography of papers for Bayesian Networks, including some links to electronic versions of the papers. ...
- Links to other sites about Bayesian Networks .
9. AIME'01 Workshop: Bayesian Models in Medicine
- www.csd.abdn.ac.uk
- AIME'01 Workshop: Bayesian Models in Medicine .
- Bayesian networks (also known as causal probabilistic networks) with their associated methods have now been around in medicine for more than a decade. ... Almost simultaneously, the use of Bayesian statistics has increased in popularity in medicine. Currently, interest is emerging within bioinformatics to use Bayesian methods for building models of various kind. ...
- Bayesian models are used in medicine to assist in the diagnosis of disorders and to predict the natural course of disease or outcome after treatment (prognosis). ... The Bayesian approach has the advantage that evidence can be easily incorporated into statistical models. Another advantage is that evidence can be handled readily when using a Bayesian model to solve an actual medical problem. Furthermore, Bayesian models cannot only be developed by extracting probabilistic information from datasets; graphical models like Bayesian networks can also be constructed with the help of medical domain experts or by consulting relevant biomedical literature. Typically, Bayesian networks rely for their construction on causal, in particular (patho)physiological models of disease. Bayesian networks have also been used successfully for the construction of dynamic, temporal statistical models. The fact that Bayesian models allow for the easy incorporation of knowledge of background populations, explains that they are also increasingly used in research on risk models of disease, associating risk with spatial distribution of populations. ... In the context of medical decision making, Bayesian models can be easily integrated with decision theory to yield models for the selection of optimal treatments, or to develop models for healthcare planning under uncertainty. ...
- Construction of Bayesian network models in collaboration with medical domain experts, using qualitative knowledge or decision-theoretic principles .
- Bayesian modelling of biological mechanisms .
- Specification languages for Bayesian models, such as probabilistic logic and graph-like languages .
- Problem solving in medicine with Bayesian networks .
10. J Cheng's Bayesian Belief Network Software
- www.cs.ualberta.ca
- 3821 J Cheng's Bayesian Belief Network Software.
- BN PowerConstructor: An efficient system that learns Bayesian belief network structures & parameters from data.
- Bayesian network PowerPredictor gives the best prediction accuracy on KDDCup 2001 Task one, from among 114 submissions all over the world. ...
11. jBNC - Bayesian Network Classifier Toolbox
- jbnc.sourceforge.net
- Bayesian Network Classifier Toolbox.
- jBNC is a Java toolkit for training, testing, and applying Bayesian Network Classifiers. ...
- SB - Standard Bayesian .
- "Bayesian learning for cardiac SPECT image interpretation", Artificial Intelligence in Medicine, 26, pp. ...
- "New synthesis of Bayesian network classifiers and interpretation of cardiac SPECT images", Ph. ...
- "Bayesian network classifiers", Machine Learning, 29:2/3, 1997.
- JavaBayes - Bayesian Networks in Java.
- BNJ - Bayesian Network tools in Java.
12. International Society for Bayesian Analysis
- www.bayesian.org
- International Society of Bayesian Analysis .
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