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Simplified integrated nested Laplace approximation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Matrix Algebra From a Statistician’s Perspective

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Bayesian computing with INLA: New features

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Numerical optimization

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Core Statistics

inferredcites →https://doi.org/10.1080/01621459.2016.1180986openalex-snapshot

Smoothing Parameter and Model Selection for General Smooth Models

inferredcites →https://doi.org/10.1111/j.1467-9469.2011.00741.xopenalex-snapshot

Simultaneous Credible Bands for Latent Gaussian Models

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.2517-6161.1985.tb01327.xopenalex-snapshot

Some Aspects of the Spline Smoothing Approach to Non-Parametric Regression Curve Fitting

inferredcites →https://doi.org/10.1111/j.2517-6161.1995.tb02060.xopenalex-snapshot

Laplace Approximation of High Dimensional Integrals

inferredcites →https://doi.org/10.1137/1.9780898718881openalex-snapshot

Direct Methods for Sparse Linear Systems

inferredcites →https://doi.org/10.1142/9789812774248_0002openalex-snapshot

Numerical optimization

inferredcites →https://doi.org/10.1145/1113316.1113320openalex-snapshot

Very large fractional factorial and central composite designs

inferredcites →https://doi.org/10.1146/annurev-statistics-060116-054045openalex-snapshot

Bayesian Computing with INLA: A Review

inferredcites →https://doi.org/10.1201/9781315370279openalex-snapshot

Generalized Additive Models

inferredcites →https://doi.org/10.18637/jss.v063.i21openalex-snapshot

Structured Additive Regression Models: An R Interface to BayesX

inferredcites →https://doi.org/10.2307/2533884openalex-snapshot

Matrix Algebra From a Statistician's Perspective.

inferredcites →https://doi.org/10.32614/cran.package.rjagsopenalex-snapshot

rjags: Bayesian Graphical Models using MCMC

inferredcites →https://doi.org/10.56021/9781421407944openalex-snapshot

Matrix Computations

inferredcites →https://doi.org/10.6084/m9.figshare.3405673openalex-snapshot

Smoothing Parameter and Model Selection for General Smooth Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Marginal inference for hierarchical generalized linear mixed models with patterned covariance matrices using the Laplace approximation

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Efficient modeling of quasi-periodic data with seasonal Gaussian process

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Inference and computation with generalized additive models and their extensions

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Understanding the Stochastic Partial Differential Equation Approach to Smoothing

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Bayesian Supervised Learning Methods: Regularization and Predictive Uncertainty

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Spatiotemporal physical barrier analysis of southern king crab (Lithodes santolla) catch rates in Magallanes, Chilean Patagonia (2014–2020)

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Spatial species distribution models: Using Bayes inference with INLA and SPDE to improve the tree species choice for important European tree species

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Stochastic Convergence Rates and Applications of Adaptive Quadrature in Bayesian Inference

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Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models

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Correction to: ‘Simplified integrated nested Laplace approximation’

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Bayesian views of generalized additive modelling

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Approximating Bayes in the 21st Century

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Computing Bayes: From Then ‘Til Now

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gratia: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'

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The impact of rapid urbanization on water resources based on INLA

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Peer Review #2 of "Hierarchical generalized additive models in ecology: an introduction with mgcv (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj.6876v0.1/reviews/3openalex-snapshot

Peer Review #3 of "Hierarchical generalized additive models in ecology: an introduction with mgcv (v0.1)"

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Peer Review #1 of "Hierarchical generalized additive models in ecology: an introduction with mgcv (v0.2)"

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Peer Review #2 of "Hierarchical generalized additive models in ecology: an introduction with mgcv (v0.2)"

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Peer Review #3 of "Hierarchical generalized additive models in ecology: an introduction with mgcv (v0.2)"

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Hierarchical generalized additive models in ecology: an introduction with mgcv

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