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Non-stationary Gaussian models with physical barriers
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/env.785openalex-snapshot
Spatial modelling using a new class of nonstationary covariance functions
inferredcites →https://doi.org/10.1007/bf01386390openalex-snapshot
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Optimized Schwarz methods for a diffusion problem with discontinuous coefficient
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inferredcites →https://doi.org/10.1016/j.ecolmodel.2006.07.005openalex-snapshot
Species distribution models and ecological theory: A critical assessment and some possible new approaches
inferredcites →https://doi.org/10.1016/j.ecolmodel.2011.12.025openalex-snapshot
Species distribution modeling with Gaussian processes: A case study with the youngest stages of sea spawning whitefish (Coregonus lavaretus L. s.l.) larvae
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A process-convolution approach to modelling temperatures in the North Atlantic Ocean
inferredcites →https://doi.org/10.1038/nature15535openalex-snapshot
The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015
inferredcites →https://doi.org/10.1080/01621459.2017.1415907openalex-snapshot
Constructing Priors that Penalize the Complexity of Gaussian Random Fields
inferredcites →https://doi.org/10.1080/10618600.2012.762920openalex-snapshot
Complex Region Spatial Smoother (CReSS)
inferredcites →https://doi.org/10.1093/icesjms/fst056openalex-snapshot
Nursery habitat availability limits adult stock sizes of predatory coastal fish
inferredcites →https://doi.org/10.1111/1467-9868.00294openalex-snapshot
Bayesian Calibration of Computer Models
inferredcites →https://doi.org/10.1111/1467-9868.00339openalex-snapshot
Spline Smoothing over Difficult Regions
inferredcites →https://doi.org/10.1111/j.1467-9868.2008.00700.xopenalex-snapshot
Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
inferredcites →https://doi.org/10.1111/j.1467-9868.2011.00777.xopenalex-snapshot
An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
inferredcites →https://doi.org/10.1111/j.1541-0420.2006.00674.xopenalex-snapshot
Low‐Rank Smoothing Splines on Complicated Domains
inferredcites →https://doi.org/10.1111/rssb.12062openalex-snapshot
The Deviance Information Criterion: 12 Years on
inferredcites →https://doi.org/10.1139/cjfas-2016-0008openalex-snapshot
Modeling the spatial distribution of larval fish abundance provides essential information for management
inferredcites →https://doi.org/10.1146/annurev-statistics-060116-054045openalex-snapshot
Bayesian Computing with INLA: A Review
inferredcites →https://doi.org/10.1146/annurev.ecolsys.110308.120159openalex-snapshot
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
inferredcites →https://doi.org/10.1214/06-ba102openalex-snapshot
Explaining species distribution patterns through hierarchical modeling
inferredcites →https://doi.org/10.1214/11-aoas530openalex-snapshot
A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA)
inferredcites →https://doi.org/10.1214/16-sts576openalex-snapshot
Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors
inferredcites →https://doi.org/10.1890/04-0609openalex-snapshot
Building Statistical Models To Analyze Species Distributions
inferredcites →https://doi.org/10.1890/10-1831.1openalex-snapshot
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inferredcites →https://doi.org/10.1890/13-1015.1openalex-snapshot
More than the sum of the parts: forest climate response from joint species distribution models
inferredcites →https://doi.org/10.1890/14-1826.1openalex-snapshot
Abundance models improve spatial and temporal prioritization of conservation resources
inferredcites →https://doi.org/10.3176/biol.ecol.2005.3.04openalex-snapshot
Smelt (Osmerus eperlanus L.) in the Baltic Sea
inferredcites →https://doi.org/10.48550/arxiv.1403.4630openalex-snapshot
Penalising model component complexity: A principled, practical approach to constructing priors
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Peer Review #2 of "Accounting for spatial habitat and management boundaries when estimating forest bird population distribution and density: inferences from a soap film smoother (v0.1)"
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Peer Review #3 of "Accounting for spatial habitat and management boundaries when estimating forest bird population distribution and density: inferences from a soap film smoother (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj.15558v0.2/reviews/3openalex-snapshot
Peer Review #3 of "Accounting for spatial habitat and management boundaries when estimating forest bird population distribution and density: inferences from a soap film smoother (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj.15558openalex-snapshot
Accounting for spatial habitat and management boundaries when estimating forest bird population distribution and density: inferences from a soap film smoother
inferred← citeshttps://doi.org/10.7717/peerj.20077openalex-snapshot
Spatially explicit models of density improve estimates of Eastern Bering Sea beluga (Delphinapterus leucas) abundance and distribution from line-transect surveys
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.