Keyword

conditional independence

Description: A probabilistic relation in which two variables are independent given information about a third variable or set of variables.

Primary topic: Bayesian Modeling and Causal Inference (37%)

Wikidata ID: wiki/Q5159264

OpenAlex ID: keywords/conditional-independence

Training Products of Experts by Minimizing Contrastive Divergence

2002 · Geoffrey E. Hinton · Neural Computation · 4,876

Using Bayesian Networks to Analyze Expression Data

2000 · Nir Friedman, Michal Linial, et al. · Journal of Computational Biology · 3,268

Learning Bayesian Networks: The Combination of Knowledge and Statistical Data

1995 · David Heckerman, Dan Geiger, et al. · Machine Learning · 3,249

PDF

High dimensional graphs and variable selection with the Lasso

2006 · Nicolai Meinshausen, Peter Bühlmann · 2,538

High-dimensional graphs and variable selection with the Lasso

2006 · Nicolai Meinshausen, Peter Bühlmann · The Annals of Statistics · 2,519

PDF

Surrogate endpoints in clinical trials: Definition and operational criteria

1989 · Ross L. Prentice · Statistics in Medicine · 2,053

Learning Bayesian networks: The combination of knowledge and statistical data

1995 · David Heckerman, Dan Geiger, et al. · Machine Learning · 2,016

PDF

Graphical Models in Applied Multivariate Statistics

1991 · Colin R. Goodall, J. Whittaker · Technometrics · 1,849

The theory and practice of item response theory.

2009 · DE Ayala · Guilford Press eBooks · 1,810

Conditional Independence in Statistical Theory

1979 · A. P. Dawid · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1,505

A new statistic and practical guidelines for nonparametric Granger causality testing

2006 · Cees Diks, Valentyn Panchenko · Journal of Economic Dynamics and Control · 962

Covariance Selection

1972 · A. P. Dempster · Biometrics · 930

CP-nets: A Tool for Representing and Reasoning withConditional Ceteris Paribus Preference Statements

2004 · C. Boutilier, R. I. Brafman, et al. · Journal of Artificial Intelligence Research · 870

PDF

Elements of Causal Inference: Foundations and Learning Algorithms

2017 · Jonas Peters, Dominik Janzing, et al. · OAPEN (The OAPEN Foundation) · 763

PDF

Life as we know it

2013 · Karl Friston · Journal of The Royal Society Interface · 751

PDF

The Multivariate Analysis of Qualitative Data: Interactions among Multiple Classifications

1970 · Leo A. Goodman · Journal of the American Statistical Association · 746

Dimensionality Reduction for Supervised Learning With Reproducing Kernel Hilbert Spaces

2003 · Kenji Fukumizu, Francis R. Bach, et al. · 697

Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier.

1996 · Pedro Domingos, Michael J. Pazzani · 690

Corrgrams

2002 · Michael Friendly · The American Statistician · 685

Graphical Models for Associations between Variables, some of which are Qualitative and some Quantitative

1989 · S. L. Lauritzen, N. Wermuth · The Annals of Statistics · 676

PDF

Generalized Network Psychometrics: Combining Network and Latent Variable Models

2017 · Sacha Epskamp, Mijke Rhemtulla, et al. · Psychometrika · 633

PDF

Context-Specific Independence in Bayesian Networks

2013 · Boutilier, Craig, Friedman, Nir, et al. · arXiv (Cornell University) · 568

PDF

Learning Bayesian Networks

2005 · Marco F. Ramoni, Paola Sebastiani · IGI Global eBooks · 541

Partial Correlation and Conditional Correlation as Measures of Conditional Independence

2004 · Kunihiro Baba, Ritei Shibata, et al. · Australian & New Zealand Journal of Statistics · 520

Independence properties of directed markov fields

1990 · S. L. Lauritzen, A. P. Dawid, et al. · Networks · 516

Works count: 4,992

Citation count: 107,700