David Bolin

Statistics and Probability · 2011–2018

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 24 citations into it; #6,275 of 12,932 by trust here, #9,714 by citations
• Environmental Engineering — 22 citations into it; #495 of 5,479 by trust here, #2,609 by citations
• Economics and Econometrics — 19 citations into it; #6,732 of 23,481 by trust here, #16,151 by citations
• Artificial Intelligence — 12 citations into it; #17,327 of 35,345 by trust here, #30,347 by citations
• Global and Planetary Change — 9 citations into it; #5,587 of 10,225 by trust here, #9,949 by citations
• Applied Mathematics — 8 citations into it

Whom David Bolin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alan Genz
2. Håvard Rue
3. Finn Lindgren
4. Noel Cressie
5. Mikyoung Jun
6. Frank Bretz
7. Michael L. Stein
8. Christian P. Robert
9. G. Jóhannesson
10. Sara Martino

Who trusts David Bolin overall

1. Finn Lindgren
2. Håvard Rue
3. Francky Fouedjio
4. Zdravko I. Botev
5. H. Bakka
6. R. Ingebrigtsen
7. Andrea Riebler
8. Jonas Wallin
9. Geir-Arne Fuglstad
10. Tilmann Gneiting

Papers from David Bolin's perspective

Ordered by how strongly the researchers David Bolin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Spatial Interaction and the Statistical Analysis of Lattice Systems
2. Gaussian Markov Random Fields: Theory and Applications
3. An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
4. Applied Regression Including Computing and Graphics
5. Bayesian Spatial Modelling with R-INLA
6. Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors
7. Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping
8. Nonparametric Estimation of Nonstationary Spatial Covariance Structure
9. Statistical Analysis and Modelling of Spatial Point Patterns
10. Statistical Analysis of Spatial Point Patterns (Technometrics)

Their papers

• Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping (2011) — 142 citations
• Excursion and contour uncertainty regions for latent Gaussian models (2012) — 138 citations
• Spatial modelling with R-INLA: A review (2018) — 401 citations
• Geostatistical Modelling Using Non‐Gaussian Matérn Fields (2015) — 82 citations