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717
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Bayes Factors
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877
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A Bayesian method for the induction of probabilistic networks from data
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3145
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R.: Classification and Regression Trees
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61
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Benchmark Priors for Bayesian Model Averaging
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149
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Verification of forecasts expressed in terms of probabilities
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1581
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Estimating the dimension of a model
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1998
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Bagging Predictors
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693
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Generalized Autoregressive Conditional Heteroskedasticity
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159
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Multivariate stochastic variance models
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356
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On the Relation Between the Expected Value and Volatility of Nominal Excess Return on Stocks
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4405
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A mathematical theory of communication
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179
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Induction of Selective Bayesian Classifiers
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208
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Learning Bayesian Networks With Local Structure
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214
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Operations for Learning with Graphical Models
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Learning Bayesian networks: The combination of knowledge and statistical data
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168
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Bayesian Graphical Models for Discrete Data
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5667
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Probabilistic reasoning in intelligent systems
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