Michele Peruzzi

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All published works

Action	Title	Year	Authors
+ PDF Chat	Inside-out cross-covariance for spatial multivariate data	2024	Michele Peruzzi
+	Bag of DAGs: Inferring Directional Dependence in Spatiotemporal Processes	2024	Bora Jin Michele Peruzzi David Dunson
+	Spatial meshing for general Bayesian multivariate models	2022	Michele Peruzzi David B. Dunson
+	Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes	2022	Yichen Zhu Michele Peruzzi Cheng Li David. B. Dunson
+	Grid-Parametrize-Split (GriPS) for Improved Scalable Inference in Spatial Big Data Analysis	2021	Michele Peruzzi Sudipto Banerjee David B. Dunson Andrew O. Finley
+	Bag of DAGs: Inferring Directional Dependence in Spatiotemporal Processes	2021	Bora Jin Michele Peruzzi David B. Dunson
+ PDF Chat	Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains	2020	Michele Peruzzi Sudipto Banerjee Andrew O. Finley
+	Spatial Multivariate Trees for Big Data Bayesian Regression	2020	Michele Peruzzi David B. Dunson
+	Bayesian Modular and Multiscale Regression	2018	Michele Peruzzi David B. Dunson
+	Bayesian Modular and Multiscale Regression	2018	Michele Peruzzi David B. Dunson

Common Coauthors

Coauthor	Papers Together
David B. Dunson	5
Bora Jin	2
Andrew O. Finley	2
Sudipto Banerjee	2
David B. Dunson	1
David Dunson	1
David. B. Dunson	1
Cheng Li	1
Yichen Zhu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach	2011	Finn Lindgren Håvard Rue Johan Lindström	4
+ PDF Chat	Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets	2015	Abhirup Datta Sudipto Banerjee Andrew O. Finley Alan E. Gelfand	4
+	Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis	2016	Abhirup Datta Sudipto Banerjee Andrew O. Finley Nicholas Hamm Martijn Schaap	3
+ PDF Chat	Gaussian Predictive Process Models for Large Spatial Data Sets	2008	Sudipto Banerjee Alan E. Gelfand Andrew O. Finley Huiyan Sang	3
+ PDF Chat	A Multi-Resolution Approximation for Massive Spatial Datasets	2016	Matthias Katzfuß	3
+ PDF Chat	Covariance Tapering for Likelihood-Based Estimation in Large Spatial Data Sets	2008	Cari G. Kaufman Mark J. Schervish Douglas Nychka	3
+ PDF Chat	A General Framework for Vecchia Approximations of Gaussian Processes	2020	Matthias Katzfuß Joseph Guinness	3
+ PDF Chat	Local Gaussian Process Approximation for Large Computer Experiments	2014	Robert B. Gramacy Daniel W. Apley	3
+	Cross-Covariance Functions for Multivariate Geostatistics	2015	Marc G. Genton William Kleiber	3
+	High-Dimensional Bayesian Geostatistics	2017	Sudipto Banerjee	3
+ PDF Chat	Covariance Tapering for Interpolation of Large Spatial Datasets	2006	Reinhard Furrer Marc G. Genton Douglas Nychka	3
+ PDF Chat	Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes	2018	Andrew O. Finley Abhirup Datta Bruce D. Cook Douglas C. Morton Hans E. Andersen Sudipto Banerjee	3
+	Fixed Rank Kriging for Very Large Spatial Data Sets	2008	Noel Cressie Gardar Johannesson	3
+ PDF Chat	Adaptive Gaussian predictive process models for large spatial datasets	2011	Rajarshi Guhaniyogi Andrew O. Finley Sudipto Banerjee Alan E. Gelfand	3
+	Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations	2009	Håvard Rue Sara Martino Nicolás Chopin	3
+	Block Nearest Neighboor Gaussian processes for large datasets	2019	Zaida C. Quiroz Marcos O. Prates Dipak K. Dey	3
+ PDF Chat	Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains	2020	Michele Peruzzi Sudipto Banerjee Andrew O. Finley	2
+	Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping	2018	Daniel Taylor‐Rodríguez Andrew O. Finley Abhirup Datta Chad Babcock Hans‐Erik Andersen Bruce D. Cook Douglas C. Morton Sudipto Banerjee	2
+	Bayesian Treed Gaussian Process Models With an Application to Computer Modeling	2008	Robert B. Gramacy Herbert K. H. Lee	2
+ PDF Chat	Fast Direct Methods for Gaussian Processes	2015	Sivaram Ambikasaran Daniel Foreman-Mackey Leslie Greengard David W. Hogg Michael O’Neil	2
+	Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data	2019	Shinichiro Shirota Andrew O. Finley Bruce D. Cook Sudipto Banerjee	2
+ PDF Chat	Scalable Gaussian Process Computations Using Hierarchical Matrices	2019	Christopher J. Geoga Mihai Anitescu Michael L. Stein	2
+	Limitations on low rank approximations for covariance matrices of spatial data	2013	Michael L. Stein	2
+ PDF Chat	Modeling massive spatial datasets using a conjugate Bayesian linear modeling framework	2020	Sudipto Banerjee	2
+ PDF Chat	Approximating Likelihoods for Large Spatial Data Sets	2004	Michael L. Stein Zhiyi Chi Leah J. Welty	2
+ PDF Chat	Robust adaptive Metropolis algorithm with coerced acceptance rate	2011	Matti Vihola	2
+	Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees	2011	Joseph E. Gonzalez Yucheng Low Arthur Gretton Carlos Guestrin	2
+ PDF Chat	Hierarchical Low Rank Approximation of Likelihoods for Large Spatial Datasets	2017	Huang Huang Ying Sun	2
+	Permutation and Grouping Methods for Sharpening Gaussian Process Approximations	2018	Joseph Guinness	2
+	The Hastings algorithm at fifty	2019	David B. Dunson James E. Johndrow	1
+	R package for Nearest Neighbor Gaussian Process models	2020	Andrew O. Finley Abhirup Datta Sudipto Banerjee	1
+	Bayesian inference of causal effects from observational data in Gaussian graphical models	2020	Federico Castelletti Guido Consonni	1
+	Fast increased fidelity approximate Gibbs samplers for Bayesian Gaussian process regression	2020	Kelly R. Moran Matthew W. Wheeler	1
+	Nonstationary Modeling With Sparsity for Spatial Data via the Basis Graphical Lasso	2020	Mitchell Krock William Kleiber Stephen Becker	1
+ PDF Chat	BART: Bayesian additive regression trees	2010	Hugh Chipman Edward I. George Robert E. McCulloch	1
+	Predicting Missing Values in Spatio-Temporal Remote Sensing Data	2018	Florian Gerber Rogier de Jong Michael E. Schaepman Gabriela Schaepman‐Strub Reinhard Furrer	1
+ PDF Chat	The Zig-Zag process and super-efficient sampling for Bayesian analysis of big data	2019	Joris Bierkens Paul Fearnhead Gareth O. Roberts	1
+	Spatial Multivariate Trees for Big Data Bayesian Regression	2020	Michele Peruzzi David B. Dunson	1
+ PDF Chat	Regression‐based covariance functions for nonstationary spatial modeling	2015	Mark D. Risser Catherine A. Calder	1
+ PDF Chat	Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data	2021	Lu Zhang Sudipto Banerjee	1
+ PDF Chat	Bayesian Nonstationary and Nonparametric Covariance Estimation for Large Spatial Data (with Discussion)	2021	Brian Kidd Matthias Katzfuß	1
+ PDF Chat	Fast Increased Fidelity Samplers for Approximate Bayesian Gaussian Process Regression	2022	Kelly R. Moran Matthew W. Wheeler	1
+	Gaussian Markov Random Fields	2005	Håvard Rue Leonhard Held	1
+ PDF Chat	Nearest-Neighbor Mixture Models for Non-Gaussian Spatial Processes	2023	Xiaotian Zheng Athanasios Kottas Bruno Sansó	1
+ PDF Chat	Hierarchical Factor Models for Large Spatially Misaligned Data: A Low‐Rank Predictive Process Approach	2013	Qian Ren Sudipto Banerjee	1
+	Direct Methods for Sparse Linear Systems	2006	Timothy A. Davis	1
+	Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)	2006	Andrew Gelman	1
+	CODA: convergence diagnosis and output analysis for MCMC	2006	Martyn Plummer Nicky Best Kate Cowles Karen Vines	1
+	To Center or Not to Center: That Is Not the Question—An Ancillarity–Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Efficiency	2011	Yaming Yu Xiao‐Li Meng	1
+ PDF Chat	A General Framework for the Parametrization of Hierarchical Models	2007	Omiros Papaspiliopoulos Gareth O. Roberts Martin Sköld	1