Catherine A. Calder

Statistics and Probability · 2007–2009

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 19 citations into it
• Environmental Engineering — 15 citations into it; #4,426 of 5,479 by trust here, #2,438 by citations
• Ecology — 14 citations into it
• Artificial Intelligence — 13 citations into it
• Economics and Econometrics — 9 citations into it; #13,657 of 23,481 by trust here, #17,346 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Catherine A. Calder trusts overall

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

1. Montserrat Fuentes
2. Alan E. Gelfand
3. Jay M. Ver Hoef
4. Anandamayee Majumdar
5. D. Higdon
6. James S. Clark
7. Noel Cressie
8. John K. Kruschke
9. Carl N. Morris
10. Danny Pfeffermann

Who trusts Catherine A. Calder overall

1. Mauricio A Álvarez
2. Alexandra M. Schmidt
3. Lorenzo Rosasco
4. Francky Fouedjio
5. Neil D. Lawrence
6. Peter Guttorp
7. Mevin B. Hooten
8. Anthony OʼHagan
9. Kangning Dong
10. Marc Kéry

Papers from Catherine A. Calder's perspective

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

1. Hierarchical Modeling and Analysis for Spatial Data
2. Sampling-Based Approaches to Calculating Marginal Densities
3. Constructing and fitting models for cokriging and multivariable spatial prediction
4. Information Theory and an Extension of the Maximum Likelihood Principle
5. Spectral methods for nonstationary spatial processes
6. Bayesian data analysis.
7. Estimating the Dimension of a Model
8. Building statistical models to analyze species distributions. (Ecological Applications)
9. Model selection and multimodel inference : a practical information-theoretic approach
10. Small area estimation

Their papers

• Beyond Moran's I: Testing for Spatial Dependence Based on the Spatial Autoregressive Model (2007) — 509 citations
• Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. (2009) — 569 citations
• A dynamic process convolution approach to modeling ambient particulate matter concentrations (2008)
• Some topics in convolution-based spatial modeling (2007) — 42 citations