Results 31 to 40 of about 184,299 (283)
Analysis of the Use of Background Distribution for Naive Bayes Classifiers
Journal of Intelligent Systems, 2019 The naive Bayes classifier is a popular classifier, as it is easy to train, requires no cross-validation for parameter tuning, and can be easily extended due to its generative model. Moreover, recently it was shown that the word probabilities (background
Andrade Daniel +2 more
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Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data. [PDF]
PLoS ONE, 2013 In capture-recapture and mark-resight surveys, movements of individuals both within and between sampling periods can alter the susceptibility of individuals to detection over the region of sampling.
Robert M Dorazio
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Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector
, 2014 For the important classical problem of inference on a sparse high-dimensional normal mean vector, we propose a novel empirical Bayes model that admits a posterior distribution with desirable properties under mild conditions.
Martin, Ryan, Walker, Stephen G.
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Journal of Probability and Statistics, 2014 The comparison of empirical Bayes and generalized maximum likelihood estimates of reliability performances is made in terms of risk efficiencies when the data are progressively Type II censored from Rayleigh distribution.
Dinesh Barot, Manhar Patel
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Dominance properties of constrained Bayes and empirical Bayes estimators
, 2013 This paper studies decision theoretic properties of benchmarked estimators which are of some importance in small area estimation problems. Benchmarking is intended to improve certain aggregate properties (such as study-wide averages) when model based ...
Kubokawa, Tatsuya +1 more
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Empirical Bayes estimation of posterior probabilities of enrichment [PDF]
, 2011 To interpret differentially expressed genes or other discovered features, researchers conduct hypothesis tests to determine which biological categories such as those of the Gene Ontology (GO) are enriched in the sense of having differential ...
Bickel, David R. +2 more
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Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source
Empirical Bayes and Full Bayes for Signal Estimation [PDF]
, 2014 We consider signals that follow a parametric distribution where the parameter values are unknown. To estimate such signals from noisy measurements in scalar channels, we study the empirical performance of an empirical Bayes (EB) approach and a full Bayes
Baron, Dror +3 more
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Empirical Bayes posterior concentration in sparse high-dimensional linear models
, 2017 We propose a new empirical Bayes approach for inference in the $p \gg n$ normal linear model. The novelty is the use of data in the prior in two ways, for centering and regularization.
Martin, Ryan +2 more
core +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source