Search Results for author: Michele Peruzzi

Found 2 papers, 2 papers with code

Date Published Github Stars

Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains

2 code implementations • 25 Mar 2020 • Michele Peruzzi, Sudipto Banerjee, Andrew O. Finley

Unlike some existing models for large spatial data, a Q-MGP facilitates massive caching of expensive matrix operations, making it particularly apt in dealing with spatiotemporal remote-sensing data.

Methodology Computation

11
Paper
Code

Bayesian Modular and Multiscale Regression

1 code implementation • 16 Sep 2018 • Michele Peruzzi, David B. Dunson

We tackle the problem of multiscale regression for predictors that are spatially or temporally indexed, or with a pre-specified multiscale structure, with a Bayesian modular approach.

Methodology

1
Paper
Code
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