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Causal versions of maximum entropy and principle of insufficient reason

Journal of causal inference, 2021-12, Vol.9 (1), p.285-301

Janzing, Dominik

2021

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Causal Inference Using the Algorithmic Markov Condition

IEEE transactions on information theory, 2010-10, Vol.56 (10), p.5168-5194

2010

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A quantum advantage for inferring causal structure

Nature physics, 2015-03, Vol.11 (5), p.414-420

2015

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Information-geometric approach to inferring causal directions

Artificial intelligence, 2012-05, Vol.182-183, p.1-31

2012

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Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference

New journal of physics, 2016-09, Vol.18 (9), p.93052

2016

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A phenomenological account for causality in terms of elementary actions

Journal of causal inference, 2024-04, Vol.12 (1), p.8-14

2024

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Detecting Confounding in Multivariate Linear Models via Spectral Analysis

Journal of causal inference, 2018-03, Vol.6 (1), p.362-378

2018

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Thermodynamic efficiency of information and heat flow

Journal of statistical mechanics, 2009-09, Vol.2009 (9), p.P09011

2009

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Analysis of cause-effect inference by comparing regression errors

PeerJ. Computer science, 2019-01, Vol.5, p.e169-e169, Article e169

2019

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QUANTIFYING CAUSAL INFLUENCES

The Annals of statistics, 2013-10, Vol.41 (5), p.2324-2358

2013

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Causal Inference on Discrete Data Using Additive Noise Models

IEEE transactions on pattern analysis and machine intelligence, 2011-12, Vol.33 (12), p.2436-2450

2011

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A quantum advantage for inferring causal structure

Nature physics, 2015-05, Vol.11 (5), p.414-420

2015

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Replacing Causal Faithfulness with Algorithmic Independence of Conditionals

Minds and machines (Dordrecht), 2013-05, Vol.23 (2), p.227-249

2013

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Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach

NeuroImage (Orlando, Fla.), 2016-01, Vol.125, p.825-833

2016

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On the Entropy Production of Time Series with Unidirectional Linearity

Journal of statistical physics, 2010-03, Vol.138 (4-5), p.767-779

Janzing, Dominik

2010

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Quantum thermodynamics with missing reference frames : Decompositions of free energy into non-increasing components

Journal of statistical physics, 2006-11, Vol.125 (3), p.761-776

JANZING, Dominik

2006

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Modeling confounding by half-sibling regression

Proceedings of the National Academy of Sciences - PNAS, 2016-07, Vol.113 (27), p.7391-7398

2016

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Justifying Additive Noise Model-Based Causal Discovery via Algorithmic Information Theory

Open systems & information dynamics, 2010-06, Vol.17 (2), p.189-212

2010

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Does Universal Controllability of Physical Systems Prohibit Thermodynamic Cycles?

Open systems & information dynamics, 2018-09, Vol.25 (3), p.1850016

2018

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On the computational power of molecular heat engines

Journal of statistical physics, 2006-02, Vol.122 (3), p.531-556

JANZING, Dominik

2006

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Tools for causal inference from cross-sectional innovation surveys with continuous or discrete variables: Theory and applications

Cuadernos de economía (Bogotá, Colombia), 2018-01, Vol.37 (75), p.779-808

2018

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Identification of Causal Dependences in Gene Regulatory Networks Using Algorithmic Information Theory

Information- and Communication Theory in Molecular Biology, 2018, p.315-330

2018

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Causal I nference on Discrete Data Using Additive Noise Models

IEEE transactions on pattern analysis and machine intelligence, 2011, Vol.33 (12), p.2436-2450

2011

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Decomposition of time-covariant operations on quantum systems with continuous and/or discrete energy spectrum

Journal of mathematical physics, 2005-12, Vol.46 (12), p.1

Janzing, Dominik

2005

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Decomposition of time-covariant operations on quantum systems with continuous and∕or discrete energy spectrum

Journal of mathematical physics, 2005-12, Vol.46 (12), p.122107-122107-20

Janzing, Dominik

2005

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Causal versions of maximum entropy and principle of insufficient reason

Causal Inference Using the Algorithmic Markov Condition

A quantum advantage for inferring causal structure

Information-geometric approach to inferring causal directions

Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference

A phenomenological account for causality in terms of elementary actions

Detecting Confounding in Multivariate Linear Models via Spectral Analysis

Thermodynamic efficiency of information and heat flow

Analysis of cause-effect inference by comparing regression errors

QUANTIFYING CAUSAL INFLUENCES

Causal Inference on Discrete Data Using Additive Noise Models

A quantum advantage for inferring causal structure

Replacing Causal Faithfulness with Algorithmic Independence of Conditionals

Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach

On the Entropy Production of Time Series with Unidirectional Linearity

Quantum thermodynamics with missing reference frames : Decompositions of free energy into non-increasing components

Modeling confounding by half-sibling regression

Justifying Additive Noise Model-Based Causal Discovery via Algorithmic Information Theory

Does Universal Controllability of Physical Systems Prohibit Thermodynamic Cycles?

On the computational power of molecular heat engines

Tools for causal inference from cross-sectional innovation surveys with continuous or discrete variables: Theory and applications

Identification of Causal Dependences in Gene Regulatory Networks Using Algorithmic Information Theory

Causal I nference on Discrete Data Using Additive Noise Models

Decomposition of time-covariant operations on quantum systems with continuous and/or discrete energy spectrum

Decomposition of time-covariant operations on quantum systems with continuous and∕or discrete energy spectrum

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