Mikyoung Jun

Environmental Engineering · 2008–2015

A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 26 citations into it; #1,040 of 5,479 by trust here, #3,093 by citations
• Global and Planetary Change — 16 citations into it; #2,172 of 10,225 by trust here, #5,647 by citations
• Economics and Econometrics — 11 citations into it; #16,613 of 23,481 by trust here, #21,405 by citations
• Statistics and Probability — 9 citations into it; #9,649 of 12,932 by trust here, #10,855 by citations
• Applied Mathematics — 6 citations into it
• Artificial Intelligence — 6 citations into it; #15,801 of 35,345 by trust here, #26,682 by citations

Whom Mikyoung Jun trusts overall

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

1. Tilmann Gneiting
2. Michael L. Stein
3. Alexandra M. Schmidt
4. Michael E. Hohn
5. Montserrat Fuentes
6. Hans Wackernagel
7. Alan E. Gelfand
8. D. Higdon
9. Cari Kaufman
10. Mark J. Schervish

Who trusts Mikyoung Jun overall

1. Emilio Porcu
2. Jaehong Jeong
3. David Bolin
4. Reto Knutti
5. Dan Cheng
6. Moreno Bevilacqua
7. Tilmann Gneiting
8. Marc G. Genton
9. Finn Lindgren
10. David Masson

Papers from Mikyoung Jun's perspective

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

1. Nonparametric Estimation of Nonstationary Spatial Covariance Structure
2. Hierarchical Modeling and Analysis for Spatial Data
3. Interpolation of spatial data
4. Applied Regression Including Computing and Graphics
5. Nonstationary multivariate process modeling through spatially varying coregionalization
6. Spatial modelling using a new class of nonstationary covariance functions (Environmetrics)
7. Covariance Tapering for Interpolation of Large Spatial Datasets
8. Compactly Supported Correlation Functions
9. Nonseparable, Stationary Covariance Functions for Space–Time Data
10. A process-convolution approach to modelling temperatures in the North Atlantic Ocean

Their papers

• Spatial Analysis to Quantify Numerical Model Bias and Dependence (2008) — 251 citations
• Non‐stationary Cross‐Covariance Models for Multivariate Processes on a Globe (2011) — 53 citations
• A class of Matérn-like covariance functions for smooth processes on a sphere (2015) — 48 citations
• Nonstationary covariance models for global data (2008) — 160 citations