Bayesian Analysis of Agricultural Field Experiments
From MaRDI portal
Publication:4935282
DOI10.1111/1467-9868.00201zbMath0951.62091OpenAlexW1990075873MaRDI QIDQ4935282
Publication date: 31 January 2000
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/1467-9868.00201
spatial statisticsMarkov chain Monte Carlo methodsMarkov random fieldsBayesian computationbinary dataprior distributionsranking and selectioncombining informationvariety trialsagricultural field trialsintrinsic autoregressionscrop experiments
Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)
Related Items
Spline adaptation in extended linear models, What is a statistical model? (With comments and rejoinder)., Combining assumptions and graphical network into gene expression data analysis, Comparison of three-dimensional profiles over time, BAYESIAN SMOOTHING WITH OCCASIONAL JUMPS, Exploring Dependence with Data on Spatial Lattices, Fitting large-scale structured additive regression models using Krylov subspace methods, Bayesian analysis of nonnegative data using dependency-extended two-part models, Statistical Assessment of Numerical Models*, Resolving the ambiguity of random‐effects models with singular precision matrix, Batch Bayesian optimization design for optimizing a neurostimulator, Evidence for conformal invariance of crop yields, Two‐dimensional P‐spline smoothing for spatial analysis of plant breeding trials, Relating nano‐particle properties to biological outcomes in exposure escalation experiments, Toxicity profiling of engineered nanomaterials via multivariate dose-response surface modeling, Rejoinder: ``Robust Bayesian graphical modeling using Dirichlet \(t\)-distributions, Independent sampling for Bayesian normal conditional autoregressive models with OpenCL acceleration, Variogram calculations for random fields on regular lattices using quadrature methods, Likelihood inference for models with unobservables: another view, Bayesian spatio-temporal models based on discrete convolutions, Goodness of fit tests for a class of Markov random field models, Gaussian Markov random field spatial models in GAMLSS, Nonparametric estimation of correlation functions in longitudinal and spatial data, with application to colon carcinogenesis experiments, HGLMs for analysis of correlated non-normal data, Space-varying regression models: specifications and simulation, Modeling Nonstationary Processes Through Dimension Expansion, An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach, Enhanced diagnostics for the spatial analysis of field trials, Bayesian estimation of \(g\)-and-\(k\) distributions using MCMC, Approximating Hidden Gaussian Markov Random Fields, Bayesian Inference for Non-Stationary Spatial Covariance Structure via Spatial Deformations, The use of spatial and randomisation-based methods for analysis of trials with treatments randomised into rows and columns, Modular regression -- a Lego system for building structured additive distributional regression models with tensor product interactions, Analysis of variance -- why it is more important than ever. (With discussions and rejoinder), Double Hierarchical Generalized Linear Models (With Discussion), The stationary regions for the parameter space of unilateral second-order spatial AR model, Weighted estimation of AMMI and GGE models, Properties of Designs in Experiments on Spatial Lattices, Prediction interval for disease mapping using hierarchical likelihood, Spatial disease mapping using directed acyclic graph auto-regressive (DAGAR) models, On the Precision of the Conditionally Autoregressive Prior in Spatial Models, Specifying a Gaussian Markov Random Field by a Sparse Cholesky Triangle, Gaussian Predictive Process Models for Large Spatial Data Sets, Bayesian Robust Inference for Differential Gene Expression in Microarrays with Multiple Samples, Point estimates for variance-structure parameters in Bayesian analysis of hierarchical models, Linear variance, P-splines and neighbour differences for spatial adjustment in field trials: how are they related?, Adjusting for spatial effects in genomic prediction, BAYESIAN ANALYSIS OF THE ADDITIVE MIXED MODEL FOR RANDOMIZED BLOCK DESIGNS, Childhood Malaria in the Gambia: A Case-Study in Model-Based Geostatistics, Generalized Additive Models for Location, Scale and Shape
