Alexandra M. Schmidt

Statistics and Probability · 2003–2011

A researcher in the Science corpus: 6 papers; trusts 12 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 14 citations into it; #3,423 of 12,932 by trust here, #7,165 by citations
• Environmental Engineering — 9 citations into it; #139 of 5,479 by trust here, #707 by citations
• Artificial Intelligence — 7 citations into it; #6,775 of 35,345 by trust here, #14,438 by citations
• Probabilistic & Bayesian Methods — 7 citations into it
• Economics and Econometrics — 6 citations into it; #3,060 of 23,481 by trust here, #5,251 by citations
• Global and Planetary Change — 5 citations into it

Whom Alexandra M. Schmidt trusts overall

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

1. D. Higdon
2. S. Ejaz Ahmed
3. Catherine A. Calder
4. Alan E. Gelfand
5. Christopher J. Paciorek
6. Leonardo S. Bastos
7. Radford M. Neal
8. Peter Guttorp
9. Anthony OʼHagan
10. Martyn Plummer

Who trusts Alexandra M. Schmidt overall

1. Mikyoung Jun
2. Alan E. Gelfand
3. Tatiyana V. Apanasovich
4. Michael L. Stein
5. Francky Fouedjio
6. R. Ingebrigtsen
7. Robert B. Gramacy
8. Luke Bornn
9. Marc G. Genton
10. Ryan P. Adams

Papers from Alexandra M. Schmidt's perspective

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

1. Sampling-Based Approaches to Calculating Marginal Densities
2. Nonparametric Estimation of Nonstationary Spatial Covariance Structure
3. Non-Stationary Spatial Modeling
4. A process-convolution approach to modelling temperatures in the North Atlantic Ocean
5. Spatial modelling using a new class of nonstationary covariance functions (Environmetrics)
6. Interpolation of spatial data
7. Spatial Interaction and the Statistical Analysis of Lattice Systems
8. Compactly Supported Correlation Functions
9. Bayesian Spatial Modeling of Extreme Precipitation Return Levels
10. Bayesian measures of model complexity and fit

Their papers

• Bayesian inference for non‐stationary spatial covariance structure via spatial deformations (2003) — 353 citations
• Nonstationary multivariate process modeling through spatially varying coregionalization (2004) — 366 citations
• A Bayesian coregionalization approach for multivariate pollutant data (2003) — 175 citations
• Modelling species diversity through species level hierarchical modelling (2005) — 158 citations
• Considering covariates in the covariance structure of spatial processes (2011) — 105 citations
• Spatio‐temporal models for mapping the incidence of malaria in Pará (2005) — 68 citations