Top Tweets for #maximumlikelihood
Check this newly published article "On Doubly-Generalized-Transmuted Distributions" at https://t.co/TUMNQAVtvh
Authors: Barry C. Arnold et al.
#mdpisymmetry #maximumlikelihood
@UCRiverside
@ubbchile
@udeantofagasta
尤度おじさんくっそワロタｗｗｗ
✨ #Paper Sharing on 23 April #ActuarialScience #MaximumLikelihood #MixtureModels
🎯 Title: Bootstrap Initialization of MLE for Infinite Mixture Distributions with Applications in Insurance Data
👉 https://t.co/zhmRnWEI0Y
#InsuranceData #InsuranceRisk
#ActuarialModeling
📊 Editor’s Choice Article Spotlight
📝Maximum Likelihood and Calibrating Prior Prediction Reliability Bias Reference Charts by Stephen Jewson
📖 https://t.co/7WGd5W5fUT
#MaximumLikelihood; #prediction; #reliability; #extremes; #calibration; #CalibratingPriorPrediction
Understanding #MaximumLikelihood Estimation and Fisher Information from Scratch (with Python) by Denis Alpino https://t.co/e7U6lQ0yCI
⚠️#NewPaperAlert🪰
Molecular phylogenetics reveals Eocene origin and out-of-Africa dispersals of the stalk-eyed flies (#Diptera: #Schizophora: #Diopsidae)
By Zhou et al.
https://t.co/tZoD4Qfbsq
#Cladistics #Phylogenetics #Biogeography #Science #STEM #Taxonomy #MaximumLikelihood
📊 Predictions from #MaximumLikelihood in #ParametricStatisticalModels often ignore parameter uncertainty—making #PredictiveProbabilityDistributions too narrow & underestimating tail risks (reliability bias).
Read more here:📖https://t.co/y3zopAk2UH
New study shows weighted least squares estimators with #PolychoricCorrelations often outperforms #MaximumLikelihood estimation with Pearson correlations, but can overestimate loadings when items are highly skewed. MLE stays robust.
👉🏻https://t.co/3MFxelhosh
📈 This paper quantifies #MaximumLikelihood reliability bias across 18 common #StatisticalModels and compares it with #Bayesian calibrating prior prediction, offering reference charts to assess past results and guide future study design.
📖https://t.co/6pAawq7pTj
📊 #ReferenceIntervals are key for interpreting lab results.
📑 This paper presents #reflimR, a quantile- & #MaximumLikelihood-based method that estimates reference intervals even with many values below the #LimitOfDetection
📖 https://t.co/bJzhKnGWUV
🔭 In #RadioAstronomy, image formation is usually framed as reconstructing a nonnegative function from sparse #Fourier data.
This study explores estimating a diagonal covariance matrix from #GaussianData using iterative #MaximumLikelihood methods.
📖 https://t.co/hs7Hondqc3
Estimation of P(X < Y) Stress–Strength Reliability Measures for a Class of Asymmetric Distributions: The Case of Three-Parameter p-Max Stable Laws
✏️ Felipe Sousa Quintino et al.
🔗 https://t.co/tRGjLnqUqB
Viewed: 1453; Cited: 5
#mdpisymmetry #maximumlikelihood
A New Bivariate Family Based on Archimedean Copulas: Simulation, Regression Model and Application
✏️ Gabriela Rodrigues
🔗 https://t.co/Jci5J0TZUQ
Viewed: 2858; Cited: 4
#mdpisymmetry #maximumlikelihood #regressionmodel
@usponline
@unb_oficial
@ufpeoficial
#mdpisymmetry Article "A More Flexible Extension of the Fréchet Distribution Based on the Incomplete Gamma Function and Applications" is available at https://t.co/NSM7bWzvEH
Authors: Jaime S. Castillo et al.
#maximumlikelihood #probabilitytheory #statistics
@udeantofagasta
RAxML: A High-Performance Phylogenetic Tree Inference Tool RAxML (Randomized Axelerated Maximum Likelihood)
Author: Alexandros Stamatakis
Article link : https://t.co/Pa0VvOdjGy
#Phylogenetics #EvolutionaryBiology #ComputationalBiology #Genomics #MaximumLikelihood #RAxML
#mdpisymmetry Check this newly published article "The Computational Assessment on the Performance of Products with Multi-Parts Using the Gompertz Distribution" at https://t.co/0x79iNNnN8
Authors: Shu-Fei Wu and Chieh-Hsin Peng
#maximumlikelihood
@ComSciMath_Mdpi
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