Michele Guindani

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Professor

University of California, Los Angeles

United States

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Professor Michele Guindani is affiliated with the University of California Los Angeles. His research interests include Bayesian modeling, psychophysiological interaction models, and data clustering methods. He has authored several recent articles exploring topics such as biostatistics in sports, nutrient delivery systems, and advanced modeling techniques for brain data and neuroimaging. His work contributes to advancements in healthcare analytics and psychological research.

Recent Grants

Grant: Close

Collaborative Research: Bayesian Approaches for Inference on Brain Connectivity

Open Date: 2017-07-01

Close Date: 2020-06-30

Articles (20)

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Collaborators (13)

Weining Shen

Associate Professor

University of California, Irvine

UNITED STATES

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Steven Allison

University of California, Irvine

UNITED STATES

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Sarah Tonello

University of Padua

ITALY

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Aaron Bornstein

Assistant Professor

University of California, Irvine

UNITED STATES

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FRANCESCO DENTI

Assistant Professor (RtdB)

University of Padua

ITALY

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Antonietta Mira

SWITZERLAND

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Adriana Romero-Olivares

Assistant Professor

University of New Mexico

UNITED STATES

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Beniamino Hadj-Amar

Assistant Professor

University of South Carolina

UNITED STATES

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Peter Buchwald

University of Miami

UNITED STATES

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Xiaoping Hu

Cooperating Professor

University of California, Riverside

UNITED STATES

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Qiwei Li

Assistant Professor

University of Texas at Dallas

UNITED STATES

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Alberto Cassese

University of Maastricht

NETHERLANDS

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Aaron R. Seitz

UNITED STATES

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Michele Guindani

Research Interests

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About

Recent Grants

Articles (20)

A Bayesian Time-Varying Psychophysiological Interaction Model

BISON: bi-clustering of spatial omics data with feature selection

Discrete Autoregressive Switching Processes with Cumulative Shrinkage Priors for Graphical Modeling of Time Series Data

Bayesian bivariate Conway–Maxwell–Poisson regression model for correlated count data in sports

Controlled Nutrient Delivery to Pancreatic Islets Using Polydopamine-Coated Mesoporous Silica Nanoparticles

Diagnostic accuracy in NSCLC lymph node staging with Total-Body and conventional PET/CT

Semiparametric local variable selection under misspecification

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

Clustering computer mouse tracking data with informed hierarchical shrinkage partition priors

Modeling intra-individual inter-trial EEG response variability in autism

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

A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data

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

Two‐group Poisson‐Dirichlet mixtures for multiple testing

A Bayesian approach to evaluation of soil biogeochemical models

A hierarchical bayesian model for differential connectivity in multi-trial brain signals

Beneficial effects of melatonin on apolipoprotein-e knockout mice by morphological and<sup>18</sup>f-fdg pet/ct assessments

Impedance-based monitoring of mesenchymal stromal cell three-dimensional proliferation using aerosol jet printed sensors: A tissue engineering application

Increasing Promotion of Women Faculty in Academic Medicine: Impact of National Career Development Programs

Collaborators (13)

Weining Shen

Steven Allison

Sarah Tonello

Aaron Bornstein

FRANCESCO DENTI

Antonietta Mira

Adriana Romero-Olivares

Beniamino Hadj-Amar

Peter Buchwald

Xiaoping Hu

Qiwei Li

Alberto Cassese

Aaron R. Seitz

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