Christopher K. Wikle

Statistics and Probability · 1998–2021

A researcher in the Science corpus: 11 papers; trusts 56 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 54 citations into it; #10,318 of 12,932 by trust here, #12,077 by citations
• Artificial Intelligence — 20 citations into it; #14,208 of 35,345 by trust here, #21,316 by citations
• Environmental Engineering — 18 citations into it; #1,074 of 5,479 by trust here, #1,430 by citations
• Probabilistic & Bayesian Methods — 15 citations into it
• Ecology — 14 citations into it; #309 of 10,717 by trust here, #3,978 by citations
• Economics and Econometrics — 13 citations into it; #10,164 of 23,481 by trust here, #14,051 by citations
• Management Science and Operations Research — 9 citations into it; #5,109 of 11,946 by trust here, #4,602 by citations
• Global and Planetary Change — 8 citations into it; #3,362 of 10,225 by trust here, #5,357 by citations

Whom Christopher K. Wikle trusts overall

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

1. D. Higdon
2. Tilmann Gneiting
3. D. Nychka
4. Edward I. George
5. Alan E. Gelfand
6. Noel Cressie
7. Andrew Gelman
8. L. M. Berliner
9. Montserrat Fuentes
10. R. F. Milli

Who trusts Christopher K. Wikle overall

1. James S. Clark
2. T. Hefley
3. Noel Cressie
4. Mauricio A Álvarez
5. Olivier Flores
6. Luc Anselin
7. Andrew M. Latimer
8. Mevin B. Hooten
9. Scott H. Holan
10. Florian Hartig

Papers from Christopher K. Wikle's perspective

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

1. Sampling-Based Approaches to Calculating Marginal Densities
2. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
3. Estimating the Dimension of a Model
4. Hierarchical Modeling and Analysis for Spatial Data
5. Spatial Interaction and the Statistical Analysis of Lattice Systems
6. Nonparametric Estimation of Nonstationary Spatial Covariance Structure
7. Inference from Iterative Simulation Using Multiple Sequences
8. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
9. Interpolation of spatial data
10. Gaussian Markov Random Fields: Theory and Applications

Their papers

• Multiresolution models for nonstationary spatial covariance functions (2002) — 244 citations
• Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds (2001) — 359 citations
• Bayesian Hierarchical Models With Conjugate Full-Conditional Distributions for Dependent Data From the Natural Exponential Family (2017) — 62 citations
• ASA President’s Task Force Statement on Statistical Significance and Replicability (2021) — 49 citations
• Small Area Estimation via Multivariate Fay–Herriot Models with Latent Spatial Dependence (2013) — 63 citations
• Polynomial nonlinear spatio‐temporal integro‐difference equation models (2011) — 52 citations
• Statistics for Spatio-Temporal Data (2011) — 825 citations
• Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. (2009) — 569 citations
• Hierarchical Bayesian Models for Predicting The Spread of Ecological Processes (2003) — 441 citations
• A kernel-based spectral model for non-Gaussian spatio-temporal processes (2002) — 110 citations
• Hierarchical Bayesian space-time models (1998)