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Nodal support is Bayesian posterior probability (PP) and maximum likelihood bootstrap (BS) values obtained from Bayesian inference analysis and maximum likelihood analysis, respectively.

Morphological and molecular phylogenetic identification and record verification of Gambierdiscus excentricus (Dinophyceae) from Madeira Island (NE Atlantic Ocean)

Therefore, this study aims to fill this gap by fitting the Gompertz, Logistic, Brody and Von Bertalanffy models to the Mengali sheep data from birth to two years of age through Bayesian inference as a reliable approach.

Fitting Nonlinear Growth Models on Weight in Mengali Sheep through Bayesian Inference

Bayesian inference allows the use of prior information of the studied trait being included in the analysis through information of a prior distribution of the parameters to be analyzed along with its uncertainty before the observation data.

Genetic parameters for marbling and body score in Anglonubian goats using Bayesian inference via threshold and linear models

Then Gull and Daniell's view is presented and, in the last part of the section, it is shown that MaxEnt is a special case of Bayesian inference. Section 3 describes Cornwell algorithm that is used in section 4 for giving some experimental results.

Maximum Entropy Principle in Image Restoration

Metrics were obtained from the maximum likelihood values of their probability distributions using Bayesian inference, which allows for statistical comparisons between communities (Jackson et al., 2011).

Isotopic niches of four commercially important pelagic elasmobranch species captured by the small-scale driftnet fishery of northern Peru

One of the proposed alternatives to classic statistics based on NHST is to use Bayesian inference (i.

Deciding on Null Hypotheses using P-values or Bayesian alternatives: A simulation study

This paper presents the development of the personalized visual satisfaction and preference models using Bayesian inference, and demonstrates their potential application in shading and lighting control based on multi-objective optimization.

The Influence of Lighting Conditions, Shading Patterns and Weather on Occupant Visual Preferences in Perimeter Building Zones

This article utilized two advanced prediction methods to predict the probability of a flight-delay incident--data mining using the decision tree and data mining using Bayesian inference. Prediction models were built using flight on-time performance data collected from different sources.

Applications of Business Analytics in Predicting Flight On-time Performance in a Complex and Dynamic System

Klir, "Bayesian inference based on interval-valued prior distributions and likelihoods," Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, vol.

Distribution Network Risk Assessment Using Multicriteria Fuzzy Influence Diagram

Unlike traditional subspace-based DOA estimation algorithms, the emerging sparse source reconstruction (SSR) algorithms [14-19], including matching pursuit (MP) algorithm [14], lp-norm optimization algorithms [15, 16], and sparse Bayesian inference (SBI) algorithms [17-19], provide a new perspective for DOA estimation.

DOA Estimation for a Mixture of Uncorrelated and Coherent Sources Based on Hierarchical Sparse Bayesian Inference with a Gauss-Exp-[Chi.sup.2] Prior

Caticha, "Updating probabilities with data and moments," in Proceedings of the 27th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2007, pp.

An Information Geometric Perspective on the Complexity of Macroscopic Predictions Arising from Incomplete Information

Bayesian statistics

Bayesian statistics