Peter Guttorp

Environmental Engineering · 1992–2011

A researcher in the Science corpus: 12 papers; trusts 33 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 38 citations into it; #400 of 5,479 by trust here, #1,005 by citations
• Global and Planetary Change — 30 citations into it; #1,683 of 10,225 by trust here, #4,939 by citations
• Atmospheric Science — 19 citations into it; #800 of 4,804 by trust here, #2,108 by citations
• Economics and Econometrics — 18 citations into it; #2,702 of 23,481 by trust here, #4,632 by citations
• Artificial Intelligence — 17 citations into it; #10,267 of 35,345 by trust here, #21,878 by citations
• Statistics and Probability — 13 citations into it; #6,583 of 12,932 by trust here, #5,481 by citations
• Probabilistic & Bayesian Methods — 7 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Peter Guttorp trusts overall

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

1. Michael R. Chernick
2. Stéphane Mallat
3. Tilmann Gneiting
4. Ingrid Daubechies
5. Montserrat Fuentes
6. Michael L. Stein
7. L. M. Berliner
8. Chunsheng Ma
9. D. Higdon
10. Donald B. Percival

Who trusts Peter Guttorp overall

1. Tilmann Gneiting
2. Montserrat Fuentes
3. Marc G. Genton
4. R. Ingebrigtsen
5. Francky Fouedjio
6. Finn Lindgren
7. R. M. Lark
8. Michael L. Stein
9. Luke Bornn
10. Martin Schlather

Papers from Peter Guttorp's perspective

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

1. Nonparametric Estimation of Nonstationary Spatial Covariance Structure
2. Sampling-Based Approaches to Calculating Marginal Densities
3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
4. Gaussian Markov Random Fields: Theory and Applications
5. Blur‐generated non‐separable space–time models
6. Space–Time Covariance Functions
7. Compactly Supported Correlation Functions
8. Nonseparable, Stationary Covariance Functions for Space–Time Data
9. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
10. Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds

Their papers

• Handbook of spatial statistics (2010) — 505 citations
• Studies in the history of probability and statistics XLIX On the Matérn correlation family (2006) — 307 citations
• Wavelet analysis of covariance with application to atmospheric time series (2000) — 355 citations
• Geostatistical Space-Time Models, Stationarity, Separability, and Full Symmetry (2007) — 352 citations
• Considering covariates in the covariance structure of spatial processes (2011) — 105 citations
• Statistical Interpretation of Species Composition (2001) — 316 citations
• Testing for homogeneity of variance in time series: Long memory, wavelets, and the Nile River (2002) — 122 citations
• Space‐time modelling of trends in temperature series (2011) — 53 citations
• Bias Correction and Bayesian Model Averaging for Ensemble Forecasts of Surface Wind Direction (2010) — 88 citations
• Trend assessment in a long memory dependence model using the discrete wavelet transform (2004) — 68 citations
• Multivariate receptor models and model uncertainty (2002) — 58 citations
• Nonparametric Estimation of Nonstationary Spatial Covariance Structure (1992)