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Inferring causation from time series in Earth system sciences

Nature communications, 2019-06, Vol.10 (1), p.2553-13, Article 2553

2019

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Understanding the impact of exposure to adverse socioeconomic conditions on chronic stress from a complexity science perspective

BMC medicine, 2021-10, Vol.19 (1), p.1-242, Article 242

2021

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Evaluating the performance of multivariate indicators of resilience loss

Scientific reports, 2021-04, Vol.11 (1), p.9148-11, Article 9148

2021

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Bridging the gap between complexity science and clinical practice by formalizing idiographic theories: a computational model of functional analysis

BMC medicine, 2020-04, Vol.18 (1), p.99-99, Article 99

2020

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Game of neutrophils: modeling the balance between apoptosis and necrosis

BMC bioinformatics, 2019-12, Vol.20 (Suppl 6), p.475-17, Article 475

2019

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Using network analysis to identify leverage points based on causal loop diagrams leads to false inference

Scientific reports, 2023-11, Vol.13 (1), p.21046-21046, Article 21046

2023

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Data-driven Lie point symmetry detection for continuous dynamical systems

Machine learning: science and technology, 2024-03, Vol.5 (1), p.15037

2024

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Information dissipation as an early-warning signal for the Lehman Brothers collapse in financial time series

Scientific reports, 2013-05, Vol.3 (1), p.1898-1898, Article 1898

2013

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Quantifying Synergistic Information Using Intermediate Stochastic Variables

Entropy (Basel, Switzerland), 2017-02, Vol.19 (2), p.85-85

2017

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Questionnaire data analysis using information geometry

Scientific reports, 2020-05, Vol.10 (1), p.8633-8633, Article 8633

2020

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A study on the dynamics of temporary HIV treatment to assess the controversial outcomes of clinical trials: An in-silico approach

PloS one, 2018-07, Vol.13 (7), p.e0200892-e0200892

2018

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Inferring temporal dynamics from cross-sectional data using Langevin dynamics

Royal Society open science, 2021-11, Vol.8 (11), p.211374-211374

2021

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Modelling the Influence of Regional Identity on Human Migration

Urban science, 2019-09, Vol.3 (3), p.78

2019

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Mapping the multicausality of Alzheimer’s disease through group model building

GeroScience, 2021-04, Vol.43 (2), p.829-843

2021

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Understanding multimorbidity requires sign-disease networks and higher-order interactions, a perspective

Frontiers in Systems Biology (Online), 2023-06, Vol.3

2023

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Dynamic importance of network nodes is poorly predicted by static structural features

Physica A, 2022-05, Vol.593, p.126889, Article 126889

2022

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Information Processing Features Can Detect Behavioral Regimes of Dynamical Systems

Complexity (New York, N.Y.), 2018-01, Vol.2018 (2018), p.1-16

2018

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Increasing risk behaviour can outweigh the benefits of antiretroviral drug treatment on the HIV incidence among men-having-sex-with-men in Amsterdam

BMC infectious diseases, 2011-05, Vol.11 (1), p.118-118, Article 118

2011

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Applying Information Theory to Neuronal Networks: From Theory to Experiments

Entropy, 2014-11, Vol.16 (11), p.5721-5737

2014

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Spontaneous cooperation for public goods

The Journal of mathematical sociology, 2021-07, Vol.45 (3), p.183-191

2021

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Refining the Causal Loop Diagram: A Tutorial for Maximizing the Contribution of Domain Expertise in Computational System Dynamics Modeling

Psychological methods, 2024-02, Vol.29 (1), p.169-201

2024

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How exposure to chronic stress contributes to the development of type 2 diabetes: A complexity science approach

Frontiers in neuroendocrinology, 2022-04, Vol.65, p.100972-100972, Article 100972

2022

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The need for systems thinking to advance Alzheimer's disease research

Psychiatry research, 2024-03, Vol.333, p.115741-115741, Article 115741

2024

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Foreseeing the future of mutualistic communities beyond collapse

Ecology letters, 2020-01, Vol.23 (1), p.2-15

2020

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A network analysis of depressive symptoms and metabolomics

Psychological medicine, 2023-11, Vol.53 (15), p.7385-7394

2023

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Inferring causation from time series in Earth system sciences

Understanding the impact of exposure to adverse socioeconomic conditions on chronic stress from a complexity science perspective

Evaluating the performance of multivariate indicators of resilience loss

Bridging the gap between complexity science and clinical practice by formalizing idiographic theories: a computational model of functional analysis

Game of neutrophils: modeling the balance between apoptosis and necrosis

Using network analysis to identify leverage points based on causal loop diagrams leads to false inference

Data-driven Lie point symmetry detection for continuous dynamical systems

Information dissipation as an early-warning signal for the Lehman Brothers collapse in financial time series

Quantifying Synergistic Information Using Intermediate Stochastic Variables

Questionnaire data analysis using information geometry

A study on the dynamics of temporary HIV treatment to assess the controversial outcomes of clinical trials: An in-silico approach

Inferring temporal dynamics from cross-sectional data using Langevin dynamics

Modelling the Influence of Regional Identity on Human Migration

Mapping the multicausality of Alzheimer’s disease through group model building

Understanding multimorbidity requires sign-disease networks and higher-order interactions, a perspective

Dynamic importance of network nodes is poorly predicted by static structural features

Information Processing Features Can Detect Behavioral Regimes of Dynamical Systems

Increasing risk behaviour can outweigh the benefits of antiretroviral drug treatment on the HIV incidence among men-having-sex-with-men in Amsterdam

Applying Information Theory to Neuronal Networks: From Theory to Experiments

Spontaneous cooperation for public goods

Refining the Causal Loop Diagram: A Tutorial for Maximizing the Contribution of Domain Expertise in Computational System Dynamics Modeling

How exposure to chronic stress contributes to the development of type 2 diabetes: A complexity science approach

The need for systems thinking to advance Alzheimer's disease research

Foreseeing the future of mutualistic communities beyond collapse

A network analysis of depressive symptoms and metabolomics

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