J. Thorson
Global and Planetary Change · 2009–2020
A researcher in the Science corpus: 15 papers; trusts 40 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 94 citations into it; #4,039 of 10,225 by trust here, #5,787 by citations
- Nature and Landscape Conservation — 87 citations into it; #2,714 of 6,941 by trust here, #3,240 by citations
- Ecology — 59 citations into it; #6,475 of 10,717 by trust here, #4,993 by citations
- Ecological Modeling — 47 citations into it
- Statistics and Probability — 43 citations into it
- Economics and Econometrics — 21 citations into it
- Artificial Intelligence — 20 citations into it
- Environmental Engineering — 17 citations into it
Whom J. Thorson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Finn Lindgren
- Andrew Gelman
- Carl J Walters
- D. MacKenzie
- Eric P. Smith
- Connie M. Borror
- Tara G. Martin
- Malin Pinsky
- Håvard Rue
- A. Kelly
Who trusts J. Thorson overall
Papers from J. Thorson's perspective
Ordered by how strongly the researchers J. Thorson trusts endorse each paper. Same corpus, a different order for every researcher.
- Ecological and Evolutionary Responses to Recent Climate Change
- Model selection and multimodel inference : a practical information-theoretic approach
- Bayesian data analysis.
- Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
- Random Forests
- Quantitative fisheries stock assessment: Choice, dynamics and uncertainty (Reviews in Fish Biology and Fisheries)
- Bayesian measures of model complexity and fit
- Can niche-based distribution models outperform spatial interpolation?
- Gaussian predictive process models for large spatial data sets (Journal of The Royal Statistical Society Series B-statistical Methodology)
- Generalized Linear Models
Their papers
- Predicting recruitment density dependence and intrinsic growth rate for all fishes worldwide using a data‐integrated life‐history model (2020) — 103 citations
- Evaluation of the impacts of different treatments of spatio-temporal variation in catch-per-unit-effort standardization models (2019) — 69 citations
- Three problems with the conventional delta-model for biomass sampling data, and a computationally efficient alternative (2018) — 69 citations
- Improving estimates of population status and trend with superensemble models (2017) — 88 citations
- Model-based estimates of effective sample size in stock assessment models using the Dirichlet-multinomial distribution (2017) — 56 citations
- Comparing estimates of abundance trends and distribution shifts using single- and multispecies models of fishes and biogenic habitat (2017) — 186 citations
- Model‐based inference for estimating shifts in species distribution, area occupied and centre of gravity (2016) — 115 citations
- Joint dynamic species distribution models: a tool for community ordination and spatio‐temporal monitoring (2016) — 172 citations
- Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range (2015) — 156 citations
- A Bayesian approach for estimating length‐weight relationships in fishes (2014) — 479 citations
- Spatial semiparametric models improve estimates of species abundance and distribution (2014) — 147 citations
- Multispecies fisheries management and conservation: tactical applications using models of intermediate complexity (2014) — 359 citations
- Complexity is costly: a meta‐analysis of parametric and non‐parametric methods for short‐term population forecasting (2014) — 120 citations
- Accounting for space–time interactions in index standardization models (2013) — 52 citations
- Gear selectivity and sample size effects on growth curve selection in shark age and growth studies (2009) — 86 citations