Airborne LIDAR-Derived Aboveground Biomass Estimates Using a Hierarchical Bayesian Approach
Remote Sensing, 2019 Conventional ground survey data are very accurate, but expensive. Airborne lidar data can reduce the costs and effort required to conduct large-scale forest surveys. It is critical to improve biomass estimation and evaluate carbon stock when we use lidar
Mengxi Wang +4 more
doaj +1 more source
VCBART: Bayesian Trees for Varying Coefficients
Bayesian AnalysisThe linear varying coefficient models posits a linear relationship between an outcome and covariates in which the covariate effects are modeled as functions of additional effect modifiers. Despite a long history of study and use in statistics and econometrics, state-of-the-art varying coefficient modeling methods cannot accommodate multivariate effect ...
Deshpande, Sameer K. +4 more
openaire +3 more sources
Effects of growth rate, size, and light availability on tree survival across life stages: a demographic analysis accounting for missing values and small sample sizes. [PDF]
, 2015 The data set supporting the results of this article is available in the Dryad repository, http://dx.doi.org/10.5061/dryad.6f4qs. Moustakas, A. and Evans, M. R.
Moustakas, A +5 more
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Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean
Advanced Science, EarlyView.This study identified NAR5, a gene encoding a subtilisin‐like protease, that regulates nitrogenase activity in soybean nodules. Overexpressing NAR5 delayed nodule senescence, enhancing nitrogenase activity, yield, and low‐nitrogen tolerance. The elite haplotype NAR5HapI‐1 linked to superior nitrogenase activity and greater seed weight has been ...
Chao Ma +11 more
wiley +1 more source
Multi-dimensional Bayesian Network Classifier Trees [PDF]
, 2018 Multi-dimensional Bayesian network classifiers (MBCs) are probabilistic graphical models tailored to solving multi-dimensional classification problems, where an instance has to be assigned to multiple class variables. In this paper, we propose a novel multi-dimensional classifier that consists of a classification tree with MBCs in the leaves.
Santiago Gil-Begue +2 more
openaire +2 more sources
Tree-ring based climate reconstruction using a hierarchical Bayesian model [PDF]
, 2016 A hierarchical Bayesian model for paleoclimate reconstruction is illustrated along with an application to an Italian site. Climate is represented through temperature and moisture variables, while the reconstruction is based on tree-ring widths ...
Cabras, Stefano, GUINDANI, MICHELE
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Dynamic staged trees for discrete multivariate time series : forecasting, model selection and causal analysis [PDF]
, 2010 A new tree-based graphical model — the dynamic staged tree — is used to model discrete-valued discrete-time multivariate processes which are hypothesised to exhibit certain symmetries concerning how situations might unfold.
Smith, JQ +5 more
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Advanced Science, EarlyView.Oligonucleotide‐based fluorescence in situ hybridization probes were developed in the model citrus species Citrus maxima. These probes were applied to comparative karyotyping across 14 species in the Rutaceae family. This analysis revealed chromosomal evolution in lineages that diverged from Citrus nearly 52 million years ago.
Li He +9 more
wiley +1 more source
Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms [PDF]
, 2004 Bayesian learning in undirected graphical models—computing posterior distributions over parameters and predictive quantities—is exceptionally difficult.
Murray, Iain +2 more
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ricklupton/bayesian-mfa-paper: Initial published version [PDF]
, 2017 Code and data supporting the paper "Incremental Material Flow Analysis with Bayesian ...
Lupton, Rick, Rick Lupton
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