adjustment of uncertainty
      Adjustment of uncertainty
  Agena
      BBN related web sites
      Welcome
  Analysing a BBN
      Analysing a BBN: entering evidence and propagation
  Analysing a BBN:  entering evidence and propagation
      Analysing a BBN: entering evidence and propagation
  Availability
      Availability
  base-rate neglect
      Representativeness
  Bayes rule
      Bayes rule
      Bayes Rule Example
  Bayes rule:  Bayes Rule Example
      Bayes Rule Example
  Bayes theorem
      What is a BBN?
  Bayesian approach to probability
      Bayesian approach to probability
  Bayesian Belief Net (BBN)
      BBN
      BBN Tutorial: About this section
      What is a BBN?
  Bayesian Belief Net (BBN):  books
      Books about BBNs
  Bayesian Belief Net (BBN):  Microsoft use of
      What is a BBN?
  Bayesian Belief Net (BBN):  overview
      What is a BBN?
  Bayesian Belief Net (BBN):  projects
      BBN projects
  Bayesian Belief Net (BBN):  resources
      BBNs and Bayesian Probability Resources: Overview
  Bayesian Belief Net (BBN):  tools
      BBN tools
  Bayesian Belief Net (BBN):  Tutorial
      BBN Tutorial: About this section
  Bayesian Belief Net (BBN):  web sites
      BBN related web sites
  BBN (see Bayesian Belief Net)
      BBN
      What is a BBN?
  BBN projects
      BBN projects
  BBN related web sites
      BBN related web sites
  BBN tools
      BBN tools
  BBNs and Bayesian Probability Resources
      BBNs and Bayesian Probability Resources: Overview
  BBNs and Bayesian Probability Resources:  Overview
      BBNs and Bayesian Probability Resources: Overview
  belief measure
      Bayesian approach to probability
  Biases of imaginability
      Availability
  binomial coefficient
      Biases of imaginability solution
  Books about BBNs
      Books about BBNs
  CASCADE
      Safety Arguments
  chain rule
      Chain rule
      Why do we need a BBN for the probability computations?
  Conditional probability
      Conditional probability
  Conditionally dependence
      Converging connection
  Conjunction Fallacy
      Conjunction Fallacy
  Conservatism
      Conservatism
  Converging connection
      Converging connection
  d-connectedness
      Analysing a BBN: entering evidence and propagation
      Bayes rule
      BBN Tutorial: About this section
      Chain rule
      Conditional probability
      Independence and conditional independence
      Joint events and marginalisation
      Probability axioms
      The notion of 'explaining away' evidence
      Variables and probability distributions
      Why do we need a BBN for the probability computations?
  d-separated
      Diverging connection
      Serial Connection
  d-separation
      The notion of d-separation
  Denial of Uncertainty
      Denial of Uncertainty
  Difficulties in assessing variance
      Difficulties in assessing variance, covariance, and correlation
  Difficulties in assessing variance:  covariance:   and correlation
      Difficulties in assessing variance, covariance, and correlation
  discrete variable
      Variables and probability distributions
  Diverging connection
      Diverging connection
  explaining away evidence
      The notion of 'explaining away' evidence
  Fallacies associated with causal and diagnostic reasoning
      Fallacies associated with causal and diagnostic reasoning
  Frequentist approach to probability
      Frequentist approach to probability
  General case of joint probability distribution in BBN
      General case of joint probability distribution in BBN
  Hard evidence
      Hard evidence
      In summary: why should we use BBNs?
  Help file
      Help file: about
  Help file:  about
      Help file: about
  Hindsight bias
      Hindsight bias
  Hugin tool
      BBN related web sites
      BBN tools
      Hugin tool
      What is a BBN?
  IEC 61508
      Safety Arguments
  Illusory Correlation
      Availability
  IMPRESS
      BBN projects
  Independence and conditional independence
      Conditional probability
      Independence and conditional independence
  Insensitivity to prior probability of outcomes
      Representativeness
  Joint events and marginalisation
      Joint events and marginalisation
  Lectures/Teaching material for BBNs
      Lectures/Teaching material for BBNs
  likelihood
      Likelihood Ratio
  Likelihood Ratio
      Likelihood Ratio
  links (on the web)
      BBN related web sites
  marginal probability
      Analysing a BBN: entering evidence and propagation
  Microsoft
      What is a BBN?
  mutually exclusive events
      Probability axioms
  node probability table
      NPT (Node Probability Table)
      What is a BBN?
  NPT (Node Probability Table)
      NPT (Node Probability Table)
      What is a BBN?
  overconfidence
      Overconfidence
  Papers about BBNs
      Papers about BBNs
  People working on BBNs
      People working on BBNs
  PES
      PES
  probability axioms
      Probability axioms
  probability distribution
      Variables and probability distributions
  Probability References
      Probability References
  probability theory fundamentals
      Probability_Theory_Fundamentals:_About_this_section
  product rule
      Chain rule
  propagation
      Analysing a BBN: entering evidence and propagation
      What is a BBN?
  References on eliciting probabilities
      References on eliciting probabilities
  Relevant Journals for BBNs
      Relevant Journals for BBNs
  representativeness
      Representativeness
  root node
      BBN Tutorial: About this section
  Safety Arguments
      Safety Arguments
  safety case
      Safety Arguments
  separation
      Analysing a BBN: entering evidence and propagation
      Bayes rule
      BBN Tutorial: About this section
      Chain rule
      Conditional probability
      Independence and conditional independence
      Joint events and marginalisation
      Probability axioms
      The notion of 'explaining away' evidence
      Variables and probability distributions
      Why do we need a BBN for the probability computations?
  SERENE
      BBN projects
      SERENE
  Serial Connection
      Serial Connection
  Soft evidence
      In summary: why should we use BBNs?
      Soft evidence
  Spurs
      Bayesian approach to probability
      Variables and probability distributions
  TRACS
      BBN projects
  uncertainty
      What is a BBN?
  variable
      Variables and probability distributions
  Variables and probability distributions
      Variables and probability distributions
  Welcome
      Welcome
  What is a BBN?
      What is a BBN?
  Why do we need a BBN for the probability computations?
      Why do we need a BBN for the probability computations?