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Michele Peruzzi

Showing results (1-10 of 9) with videos related to

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Journal of Machine Learning Research : JMLR|July 27, 2022
Spatial Multivariate Trees for Big Data Bayesian RegressionMichele Peruzzi, David B Dunson
Journal of Machine Learning Research : JMLR|July 9, 2025
Spatial meshing for general Bayesian multivariate modelsMichele Peruzzi, David B Dunson
Bayesian Analysis|September 2, 2025
Bag of DAGs: Inferring Directional Dependence in Spatiotemporal ProcessesBora Jin, Michele Peruzzi, David Dunson
Biorxiv : the Preprint Server for Biology|July 16, 2025
SHADE: A Multilevel Bayesian Approach to Modeling Directional Spatial Associations in TissuesJoel Eliason, Michele Peruzzi, Arvind Rao
Plos Computational Biology|February 4, 2026
SHADE: A multilevel Bayesian framework for modeling directional spatial interactions in tissue microenvironmentsJoel Eliason, Michele Peruzzi, Arvind Rao
Journal of the American Statistical Association|August 8, 2022
Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned DomainsMichele Peruzzi, Sudipto Banerjee, Andrew O Finley
Biometrika|April 14, 2025
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian ProcessesYichen Zhu, Michele Peruzzi, Cheng Li, et al.
Bayesian Analysis|October 20, 2025
Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate DataMichele Peruzzi, Sudipto Banerjee, David B Dunson, et al.
Scientific Reports|January 11, 2026
Informed spatially aware patterns for multiplexed immunofluorescence dataSagnik Bhadury, Michele Peruzzi, Satwik Acharyya, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Machine Learning Research : JMLR|July 27, 2022
Spatial Multivariate Trees for Big Data Bayesian RegressionMichele Peruzzi, David B Dunson
Journal of Machine Learning Research : JMLR|July 9, 2025
Spatial meshing for general Bayesian multivariate modelsMichele Peruzzi, David B Dunson
Bayesian Analysis|September 2, 2025
Bag of DAGs: Inferring Directional Dependence in Spatiotemporal ProcessesBora Jin, Michele Peruzzi, David Dunson
Biorxiv : the Preprint Server for Biology|July 16, 2025
SHADE: A Multilevel Bayesian Approach to Modeling Directional Spatial Associations in TissuesJoel Eliason, Michele Peruzzi, Arvind Rao
Plos Computational Biology|February 4, 2026
SHADE: A multilevel Bayesian framework for modeling directional spatial interactions in tissue microenvironmentsJoel Eliason, Michele Peruzzi, Arvind Rao
Journal of the American Statistical Association|August 8, 2022
Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned DomainsMichele Peruzzi, Sudipto Banerjee, Andrew O Finley
Biometrika|April 14, 2025
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian ProcessesYichen Zhu, Michele Peruzzi, Cheng Li, et al.
Bayesian Analysis|October 20, 2025
Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate DataMichele Peruzzi, Sudipto Banerjee, David B Dunson, et al.
Scientific Reports|January 11, 2026
Informed spatially aware patterns for multiplexed immunofluorescence dataSagnik Bhadury, Michele Peruzzi, Satwik Acharyya, et al.
Pageof 1