Evaluating accuracy of diagnostic tests without conditional independence assumption.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7688
Abstract: Evaluating the accuracy (ie, estimating the sensitivity and specificity) of new diagnostic tests without the presence of a gold standard is of practical meaning and has been the subject of intensive study for several decades.… read more here.
Keywords: assumption; diagnostic tests; method; conditional independence ... See more keywords
Bayesian hypothesis testing for Gaussian graphical models: Conditional independence and order constraints
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Mathematical Psychology"
DOI: 10.1016/j.jmp.2020.102441
Abstract: Abstract Gaussian graphical models (GGM; partial correlation networks) have become increasingly popular in the social and behavioral sciences for studying conditional (in)dependencies between variables. In this work, we introduce exploratory and confirmatory Bayesian tests for… read more here.
Keywords: hypothesis; graphical models; conditional independence; gaussian graphical ... See more keywords
Using conditional independence tests to elucidate causal links in cell cycle regulation in Escherichia coli.
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2214796120
Abstract: How cells regulate their cell cycles is a central question for cell biology. Models of cell size homeostasis have been proposed for bacteria, archaea, yeast, plant, and mammalian cells. New experiments bring forth high volumes… read more here.
Keywords: cell; cell cycle; independence tests; regulation ... See more keywords
On testing marginal versus conditional independence
Sign Up to like & getrecommendations! Published in 2020 at "Biometrika"
DOI: 10.1093/biomet/asaa040
Abstract: We consider testing marginal independence versus conditional independence in a trivariate Gaussian setting. The two models are non-nested and their intersection is a union of two marginal independences. We consider two sequences of such models,… read more here.
Keywords: versus conditional; conditional independence; testing marginal; independence ... See more keywords
Do rats learn conditional independence?
Sign Up to like & getrecommendations! Published in 2017 at "Royal Society Open Science"
DOI: 10.1098/rsos.160994
Abstract: If acquired associations are to accurately represent real relevance relations, there is motivation for the hypothesis that learning will, in some circumstances, be more appropriately modelled, not as direct dependence, but as conditional independence. In… read more here.
Keywords: rats learn; learn conditional; conditional independence; food ... See more keywords
On Hypothesis Testing Against Conditional Independence With Multiple Decision Centers
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2018.2798659
Abstract: A distributed binary hypothesis testing problem is studied with one observer and two decision centers. Achievable type-II error exponents are derived for testing against conditional independence when the observer communicates with the two decision centers… read more here.
Keywords: decision; testing conditional; decision centers; hypothesis testing ... See more keywords
The Undecidability of Conditional Affine Information Inequalities and Conditional Independence Implication With a Binary Constraint
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2022.3190800
Abstract: We establish the undecidability of conditional affine information inequalities, the undecidability of the conditional independence implication problem with a constraint that one random variable is binary, and the undecidability of the problem of deciding whether… read more here.
Keywords: information; independence implication; undecidability conditional; conditional independence ... See more keywords
Undecidability of Network Coding, Conditional Information Inequalities, and Conditional Independence Implication
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2023.3247570
Abstract: We resolve three long-standing open problems, namely the (algorithmic) decidability of network coding, the decidability of conditional information inequalities, and the decidability of conditional independence implication among random variables, by showing that these problems are… read more here.
Keywords: information; network; information inequalities; conditional independence ... See more keywords