10 citations · 56 across the 19 of their papers we have counts for
6 papers · 1 filter
Improving Bayesian Network Structure Learning in the Presence of Measurement Error
Yang Liu, Anthony C. Constantinou, ZhiGao Guo
Structure learning algorithms that learn the graph of a Bayesian network from observational data often do so by assuming the data correctly reflect the true distribution of the var…
Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets
Zhigao Guo, Anthony C. Constantinou
Score-based algorithms that learn Bayesian Network (BN) structures provide solutions ranging from different levels of approximate learning to exact learning. Approximate solutions…
Bayesian network structure learning with causal effects in the presence of latent variables
Kiattikun Chobtham, Anthony C. Constantinou
Latent variables may lead to spurious relationships that can be misinterpreted as causal relationships. In Bayesian Networks (BNs), this challenge is known as learning under causal…
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data
Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham +2
Numerous Bayesian Network (BN) structure learning algorithms have been proposed in the literature over the past few decades. Each publication makes an empirical or theoretical case…
Learning Bayesian Networks that enable full propagation of evidence
Anthony Constantinou
This paper builds on recent developments in Bayesian network (BN) structure learning under the controversial assumption that the input variables are dependent. This assumption can…
Investigating the efficiency of the Asian handicap football betting market with ratings and Bayesian networks
Anthony Constantinou
Despite the massive popularity of the Asian Handicap (AH) football (soccer) betting market, its efficiency has not been adequately studied by the relevant literature. This paper co…