M. Hinne

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A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP

E. Wagenmakers, A. Ly, M. Marsman, 2020, L’Année psychologique.

The JASP guidelines for conducting and reporting a Bayesian analysis

E. Wagenmakers, A. Ly, M. Marsman, 2020, Psychonomic bulletin & review.

Bayesian Connectomics: A probabilistic perspective on brain networks

M. Hinne, 2017 .

Preface Organizing Committee Program Committee Usefulness as the Criterion for Evaluation of Interactive Information Retrieval Systems Semi-supervised Priors for Microblog Language Identification Scope of Negation Detection in Sentiment Analysis a Multi-dimensional Model for Search Intent Result Div

Wes, Arjen P. de Vries, S. Robertson, 2022 .

Node centrality measures are a poor substitute for causal inference

F. Dablander, M. Hinne, 2018, Scientific Reports.

LOCAL IDENTIFICATION OF WEB GRAPH COMMUNITIES

Max Hinne, M. Hinne, 2010 .

Highways to happiness for autistic adults? Perceived causal relations among clinicians

D. Borsboom, M. Deserno, H. Geurts, 2020, PloS one.

Resting-state subcortical functional connectivity in HIV-infected patients on long-term cART

M. V. van Gerven, M. Hinne, B. Goraj, 2016, Brain Imaging and Behavior.

Between-subject variability in the influence of mental imagery on conscious perception

M. V. van Gerven, M. Hinne, Sander Erik Bosch, 2019, Scientific Reports.

A Conceptual Introduction to Bayesian Model Averaging

E. Wagenmakers, Don van den Bergh, Q. Gronau, 2019, Advances in Methods and Practices in Psychological Science.

DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing data

L. Vissers, M. V. van Gerven, C. Gilissen, 2021, bioRxiv.

Bayesian model averaging for nonparametric discontinuity design

M. V. van Gerven, M. Hinne, L. Ambrogioni, 2022, PloS one.

Highways to happiness for autistic adults? Perceived causal relations among clinicians

D. Borsboom, M. Deserno, H. Geurts, 2018, PloS one.

PhenoScore: AI-based phenomics to quantify rare disease and genetic variation

Baralle, A. V. Vulto-van Silfhout, L. Vissers, 2022, medRxiv.

Comparing facial feature extraction methods in the diagnosis of rare genetic syndromes

L. Vissers, B. D. de Vries, M. V. van Gerven, 2022, medRxiv.

Non-Gaussian Normative Modelling With Hierarchical Bayesian Regression

O. Andreassen, S. Rutherford, C. Beckmann, 2022, bioRxiv.

Automatic structured variational inference pdf

Luca Ambrogioni, Marcel van Gerven, Max Hinne, 2020, AISTATS.

Efficient sampling of Gaussian graphical models using conditional Bayes factors

Marcel van Gerven, Max Hinne, Tom Heskes, 2014, 1409.2676.

GP CaKe: Effective brain connectivity with causal kernels

Luca Ambrogioni, Marcel van Gerven, Max Hinne, 2017, NIPS.

The missing link: Predicting connectomes from noisy and partially observed tract tracing data

Paul H. E. Tiesinga, Morten Mørup, Marcel van Gerven, 2016, bioRxiv.

The JASP guidelines for conducting and reporting a Bayesian analysis

Eric-Jan Wagenmakers, Johnny van Doorn, Dora Matzke, 2019, Psychonomic Bulletin & Review.

The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test

E. Wagenmakers, A. Ly, M. Marsman, 2019, Computational Brain & Behavior.

A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP

E. Wagenmakers, A. Ly, M. Marsman, 2019 .

Node centrality measures are a poor substitute for causal inference

F. Dablander, M. Hinne, 2018, Scientific Reports.

Structurally-informed Bayesian functional connectivity analysis

Luca Ambrogioni, Tom Heskes, Marcel van Gerven, 2014, NeuroImage.

Forward Amortized Inference for Likelihood-Free Variational Marginalization pdf

Luca Ambrogioni, Marcel van Gerven, Julia Berezutskaya, 2018, AISTATS.

Validation of structural brain connectivity networks: The impact of scanning parameters

Morten Mørup, Tim B. Dyrby, Mikkel N. Schmidt, 2020, NeuroImage.

Probabilistic Clustering of the Human Connectome Identifies Communities and Hubs

Tom Heskes, Max Hinne, Marcel A. J. van Gerven, 2015, PloS one.

Individual differences in the influence of mental imagery on conscious perception

M. V. van Gerven, M. Hinne, Sander Erik Bosch, 2019, bioRxiv.

Wasserstein Variational Inference

Luca Ambrogioni, Marcel van Gerven, Umut Güçlü, 2018, NeurIPS.

Non-Gaussian Normative Modelling With Hierarchical Bayesian Regression

O. Andreassen, S. Rutherford, C. Beckmann, 2024, bioRxiv.

Cutting Graphs Using Competing Ant Colonies and an Edge Clustering Heuristic

Elena Marchiori, Max Hinne, E. Marchiori, 2011, EvoCOP.

Bayesian inference of structural brain networks

Tom Heskes, Marcel van Gerven, Max Hinne, 2013, NeuroImage.

Quantifying uncertainty in brain network measures using Bayesian connectomics

Tom Heskes, Marcel van Gerven, Max Hinne, 2014, Front. Comput. Neurosci..

Bayesian Inference of Whole-Brain Networks

M. Hinne, T. Heskes, M. A. J. van Gerven, 2012, 1202.1696.

Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates

Tom Heskes, Marcel van Gerven, Max Hinne, 2015, PLoS Comput. Biol..

Reliability and Validity of Query Intent Assessments

Wessel Kraaij, Suzan Verberne, Eduard Hoenkamp, 2013, DIR.

Causal inference using Bayesian non-parametric quasi-experimental design

M. Hinne, L. Ambrogioni, M. Gerven, 2019, ArXiv.

Bayesian nonparametric discontinuity design

M. Hinne, L. Ambrogioni, M. Gerven, 2019, 1911.06722.

Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates

T. Heskes, M. Hinne, R. Janssen, 2015, PLoS Comput. Biol..

Quantifying uncertainty in brain network measures using Bayesian connectomics

T. Heskes, M. Hinne, R. Janssen, 2014, Front. Comput. Neurosci..

Forward Amortized Inference for Likelihood-Free Variational Marginalization

Eva W. P. van den Borne, E. Maris, M. Hinne, 2018, AISTATS.

Reliability and Validity of Query Intent Assessments Compressed version of paper accepted for publication in JASIST

Wessel Kraaij, Suzan Verberne, Eduard Hoenkamp, 2013 .