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Taggraphical models

Includes: graphical models, Graphical Models, graphical_models

Tagged Works

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Probabilistic Graphical Models: Principles and Techniques by Daphne Koller (5 times)
Counterfactuals and Causal Inference: Methods and Principles for Social Research by Stephen L. Morgan (3 times)
Pattern Recognition and Machine Learning by Christopher M. Bishop (3 times)
Learning in Graphical Models by Michael I. Jordan (3 times)
Causality: Models, Reasoning, and Inference by Judea Pearl (3 times)
Introduction to Graphical Modelling by David Edwards (2 times)
Causal inferences in nonexperimental research by Hubert M. Blalock, Jr. (2 times)
Sparse Modeling: Theory, Algorithms, and Applications (Chapman & Hall/Crc Machine Learning & Pattern Recognition) by Irina Rish (1 times)
Why: A Guide to Finding and Using Causes by Samantha Kleinberg (1 times)
Unifying the Mind: Cognitive Representations as Graphical Models by David Danks (1 times)
Bayesian Networks in R: with Applications in Systems Biology by Radhakrishnan Nagarajan (1 times)
Graphical Models with R by Søren Højsgaard (1 times)
Statistics for High-Dimensional Data: Methods, Theory and Applications by Peter Bühlmann (1 times)
Statistical Analysis of Network Data: Methods and Models by Eric D. Kolaczyk (1 times)
Information, Physics, and Computation by Marc Mezard (1 times)
Modern Coding Theory by Tom Richardson (1 times)
Complex Stochastic Systems (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by O.E. Barndorff-Nielsen (1 times)
Introduction to Statistical Relational Learning by Lise Getoor (1 times)
Algebraic Statistics for Computational Biology by L. Pachter (1 times)
Pattern Theory: From Representation to Inference (Oxford Studies in Modern European Culture) by Ulf Grenander (1 times)
Statistical Network Analysis: Models, Issues, and New Directions: ICML 2006 Workshop on Statistical Network Analysis, Pi by Edoardo M. Airoldi (1 times)
Hunting Causes and Using Them: Approaches in Philosophy and Economics by Nancy Cartwright (1 times)
Multivariate Dependencies: Models, Analysis and Interpretation by D. R. Cox (1 times)
Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference by Bill Shipley (1 times)
Uncertainty in Artificial Intelligence: Proceedings of the Twentieth Conference [UAI 2004] by Max Chickering (1 times)

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Related Series

Adaptive Computation And Machine Learning

Information Science and Statistics

Springer Series in Statistics

Analytical Methods for Social Research

Springer Texts in Statistics

Use R! (Springer)

Oxford Statistical Science Series

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Oxford Graduate Texts

Related Tagmashes

machine learning, math (12)

computer science, statistics (6)

probability, statistics, textbook (6)

philosophy, statistics (5)

algorithms, machine learning (4)

artificial intelligence, non-fiction, programming (4)

machine learning, programming (4)

statistics, textbooks (4)

AI, non-fiction, programming (3)

algorithms, computer science (3)

algorithms, data mining, machine learning (3)

artificial intelligence, --fiction (3)

biology, statistics (3)

causality, causation (3)

computer science, engineering (3)

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