A parametric empirical Bayes (PEB) approach for estimating maize progress percentage at field scale
Sign Up to like & getrecommendations! Published in 2020 at "Agricultural and Forest Meteorology"
DOI: 10.1016/j.agrformet.2019.107829
Abstract: Abstract The Crop Progress Percentage (CPP) in a given phenology stage reflects growth status in the crop life cycle. Generally, routine field measurements of this variable are missing, hence various alternative approaches have been proposed… read more here.
Keywords: empirical bayes; field scale; field; method ... See more keywords
pLARmEB: integration of least angle regression with empirical Bayes for multilocus genome-wide association studies
Sign Up to like & getrecommendations! Published in 2017 at "Heredity"
DOI: 10.1038/hdy.2017.8
Abstract: Multilocus genome-wide association studies (GWAS) have become the state-of-the-art procedure to identify quantitative trait nucleotides (QTNs) associated with complex traits. However, implementation of multilocus model in GWAS is still difficult. In this study, we integrated… read more here.
Keywords: empirical bayes; association; least angle; model ... See more keywords
An Empirical Bayes Method for Chi-Squared Data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2020.1777137
Abstract: Abstract In a thought-provoking paper, Efron investigated the merit and limitation of an empirical Bayes method to correct selection bias based on Tweedie’s formula first reported in the study by Robbins. The exceptional virtue of… read more here.
Keywords: squared data; bayes method; empirical bayes; tweedie formula ... See more keywords
Empirical Bayes estimates of finite mixture of negative binomial regression models and its application to highway safety
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DOI: 10.1080/02664763.2017.1389863
Abstract: ABSTRACT The empirical Bayes (EB) method is commonly used by transportation safety analysts for conducting different types of safety analyses, such as before–after studies and hotspot analyses. To date, most implementations of the EB method… read more here.
Keywords: empirical bayes; safety; model; negative binomial ... See more keywords
Empirical Bayes estimators in hierarchical models with mixture priors
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2018.1450364
Abstract: ABSTRACT We consider subgroup analyses within the framework of hierarchical modeling and empirical Bayes (EB) methodology for general priors, thereby generalizing the normal–normal model. By doing this one obtains greater flexibility in modeling. We focus… read more here.
Keywords: estimators hierarchical; methodology; empirical bayes; bayes estimators ... See more keywords
Efficient empirical Bayes estimates for risk parameters of Pareto distributions
Sign Up to like & getrecommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2020.1766501
Abstract: Abstract Pareto distributions are useful for modeling the loss data in many fields such as actuarial science, economics, insurance, hydrology and reliability theory. In this paper, we consider the simultaneous estimation of the risk parameters… read more here.
Keywords: risk parameters; parameters pareto; pareto distributions; empirical bayes ... See more keywords
An empirical Bayes method for differential expression analysis of single cells with deep generative models
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1101/2022.05.27.493625
Abstract: Detecting differentially expressed genes is important for characterizing subpopulations of cells. In scRNA-seq data, however, nuisance variation due to technical factors like sequencing depth and RNA capture efficiency obscures the underlying biological signal. Deep generative… read more here.
Keywords: bayes method; generative models; expression; empirical bayes ... See more keywords
An Efficient and Flexible Spike Train Model Via Empirical Bayes
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3076885
Abstract: Accurate statistical models of neural spike responses can characterize the information carried by neural populations. But the limited samples of spike counts during recording usually result in model overfitting. Besides, current models assume spike counts… read more here.
Keywords: efficient flexible; empirical bayes; glm; model ... See more keywords
Empirical Bayes Deconvolution Based Modulation Discovery Under Additive Noise
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2018.2800111
Abstract: The problem of identifying digital amplitude-phase modulations under additive noise is addressed within the theory of empirical Bayes deconvolution. The presented methods employ parametric models in the observation and signal constellation spaces. The model parameters… read more here.
Keywords: additive noise; modulation; empirical bayes; bayes deconvolution ... See more keywords
On the Use of Empirical Bayes Estimates as Measures of Individual Traits
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DOI: 10.1177/1073191119885019
Abstract: Empirical Bayes (EB) estimates of the random effects in multilevel models represent how individuals deviate from the population averages and are often extracted to detect outliers or used as predictors in follow-up analysis. However, little… read more here.
Keywords: use empirical; empirical bayes; measures individual; individual traits ... See more keywords
Bayes, Oracle Bayes and Empirical Bayes
Sign Up to like & getrecommendations! Published in 2019 at "Statistical Science"
DOI: 10.1214/18-sts674
Abstract: This article concerns the Bayes and frequentist aspects of empirical Bayes inference. Some of the ideas explored go back to Robbins in the 1950s, while others are current. Several examples are discussed, real and artificial,… read more here.
Keywords: empirical bayes; methodology; bayes oracle; oracle bayes ... See more keywords