Michele Guindani

Michele Guindani

University of California, Irvine

H-index: 30

North America-United States

About Michele Guindani

Michele Guindani, With an exceptional h-index of 30 and a recent h-index of 26 (since 2020), a distinguished researcher at University of California, Irvine, specializes in the field of Bayesian Analysis, Bayesian Nonparametrics, Neuroimaging, Imaging Genetics, Statistical decision making.

His recent articles reflect a diverse array of research interests and contributions to the field:

Proteome trait regulation of marine Synechococcus elemental stoichiometry under global change

Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data

Multiple hypothesis screening using mixtures of non‐local distributions with applications to genomic studies

Semi-parametric local variable selection under misspecification

A common atoms model for the Bayesian nonparametric analysis of nested data

Central Posterior Envelopes for Bayesian Functional Principal Component Analysis.

Changepoint detection with random partition models

A horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging

Michele Guindani Information

University

Position

Department of Statistics

Citations(all)

3028

Citations(since 2020)

1998

Cited By

1796

hIndex(all)

30

hIndex(since 2020)

26

i10Index(all)

57

i10Index(since 2020)

50

Email

University Profile Page

Google Scholar

Michele Guindani Skills & Research Interests

Bayesian Analysis

Bayesian Nonparametrics

Neuroimaging

Imaging Genetics

Statistical decision making

Top articles of Michele Guindani

Title

Journal

Author(s)

Publication Date

Proteome trait regulation of marine Synechococcus elemental stoichiometry under global change

The ISME Journal

Nathan S Garcia

Mingyu Du

Michele Guindani

Matthew R McIlvin

Dawn M Moran

...

2024/1/1

Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data

Biometrics

Laura D'Angelo

Antonio Canale

Zhaoxia Yu

Michele Guindani

2023/6

Multiple hypothesis screening using mixtures of non‐local distributions with applications to genomic studies

Statistics in Medicine

Francesco Denti

Stefano Peluso

Michele Guindani

Antonietta Mira

2023/5/30

Semi-parametric local variable selection under misspecification

arXiv preprint arXiv:2401.10235

David Rossell

Arnold Kisuk Kseung

Ignacio Saez

Michele Guindani

2023/11/14

A common atoms model for the Bayesian nonparametric analysis of nested data

Journal of the American Statistical Association

Francesco Denti

Federico Camerlenghi

Michele Guindani

Antonietta Mira

2023/1/2

Central Posterior Envelopes for Bayesian Functional Principal Component Analysis.

Journal of Data Science

Joanna Boland

Donatello Telesca

Catherine Sugar

Michele Guindani

Shafali Jeste

...

2023/10/1

Changepoint detection with random partition models

A Giampino

M Guindani

B Nipoti

M Vannucci

2023

A horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging

The Annals of Applied Statistics

Francesco Denti

Ricardo Azevedo

Chelsie Lo

Damian G Wheeler

Sunil P Gandhi

...

2023/9

Galton-Watson process: a non parametric prior for the offspring distribution

Massimo Cannas

Michele Guindani

Nicola Piras

2023

AI-based automated lipomatous tumor segmentation in MR images: ensemble solution to heterogeneous data

Journal of digital imaging

Chih-Chieh Liu

Yasser G Abdelhafez

S Paran Yap

Francesco Acquafredda

Silvia Schirò

...

2023/6

Thinned random measures for sparse graphs with overlapping communities

Advances in Neural Information Processing Systems

Federica Zoe Ricci

Michele Guindani

Erik Sudderth

2022/12/6

Clustering artists based on the energy distributions of their songs on Spotify via the Common Atoms Model

Francesco Denti

Federico Camerlenghi

Michele Guindani

Antonietta Mira

2022

A predictor-informed multi-subject Bayesian approach for dynamic functional connectivity

arXiv preprint arXiv:2210.01281

Jaylen Lee

Sana Hussain

Ryan Warnick

Marina Vannucci

Isaac Menchaca

...

2022/10/4

A nonparametric Bayesian model for estimating spectral densities of resting-state EEG twin data

Biometrics

Brian Hart

Michele Guindani

Stephen Malone

Mark Fiecas

2022/3

Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research

Zhaoxia Yu

Michele Guindani

Steven F Grieco

Lujia Chen

Todd C Holmes

...

2022/1/5

Bayesian approaches for capturing the heterogeneity of neuroimaging experiments

Francesco Denti

Laura D'Angelo

Michele Guindani

2022

Time-varying optimization for Spike Inference from Multi-Trial Calcium Recordings

arXiv preprint arXiv:2103.03818

Tong Shen

Kevin Johnston

Gyorgy Lur

Michele Guindani

Hernando Ombao

...

2021/3/2

A Bayesian nonparametric model for textural pattern heterogeneity

Journal of the Royal Statistical Society Series C: Applied Statistics

Xiao Li

Michele Guindani

Chaan S Ng

Brian P Hobbs

2021/3

Bayesian time-varying tensor vector autoregressive models for dynamic effective connectivity

arXiv preprint arXiv:2106.14083

Wei Zhang

Ivor Cribben

Michele Guindani

2021/6/26

Detection of neural activity in calcium imaging data via Bayesian mixture models

Preface XIX 1 Plenary Sessions

Laura D’Angelo

Antonio Canale

Zhaoxia Yu

Michele Guindani

2021

See List of Professors in Michele Guindani University(University of California, Irvine)

Co-Authors

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