Bayesian approaches for capturing the heterogeneity of neuroimaging experiments

Francesco Denti; Laura D'Angelo; Michele Guindani

Bayesian approaches for capturing the heterogeneity of neuroimaging experiments

Francesco Denti, Laura D'Angelo, Michele Guindani^*

^*Corresponding author

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Book of Short Paper SIS 2022
Pages	18-29
Number of pages	12
Publication status	Published - 2022
Event	SIS 2022 - Caserta Duration: 22 Jun 2022 → 24 Jun 2022

Conference

Conference	SIS 2022
City	Caserta
Period	22/6/22 → 24/6/22

Keywords

Bayesian methods
Clustering
Heterogeneity
Neurosciences

Cite this

@inproceedings{89cc7d6576a349d3b725b354eacfaa2f,

title = "Bayesian approaches for capturing the heterogeneity of neuroimaging experiments",

keywords = "Bayesian methods, Clustering, Heterogeneity, Neurosciences, Bayesian methods, Clustering, Heterogeneity, Neurosciences",

author = "Francesco Denti and Laura D'Angelo and Michele Guindani",

year = "2022",

language = "English",

isbn = "9788891932310",

pages = "18--29",

booktitle = "Book of Short Paper SIS 2022",

note = "SIS 2022 ; Conference date: 22-06-2022 Through 24-06-2022",

}

TY - GEN

T1 - Bayesian approaches for capturing the heterogeneity of neuroimaging experiments

AU - Denti, Francesco

AU - D'Angelo, Laura

AU - Guindani, Michele

PY - 2022

Y1 - 2022

KW - Bayesian methods

KW - Clustering

KW - Heterogeneity

KW - Neurosciences

KW - Bayesian methods

KW - Clustering

KW - Heterogeneity

KW - Neurosciences

UR - http://hdl.handle.net/10807/221886

M3 - Conference contribution

SN - 9788891932310

SP - 18

EP - 29

BT - Book of Short Paper SIS 2022

T2 - SIS 2022

Y2 - 22 June 2022 through 24 June 2022

ER -

Bayesian approaches for capturing the heterogeneity of neuroimaging experiments

Conference

Keywords

Other files and links

Cite this