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⚠️#NewPaperAlert🐜 Phylogenomics and historical biogeography of the cosmopolitan velvet ant tribe #Trogaspidiini (#Hymenoptera: #Mutillidae) By Waldren et al. doi.org/10.1111/cla.70042 #Cladistics #Phylogenomics #Parsimony #Biogeography #MaximumLikelihood #Science #STEM
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Check this newly published article "On Doubly-Generalized-Transmuted Distributions" at brnw.ch/21x2N2n Authors: Barry C. Arnold et al. #mdpisymmetry #maximumlikelihood @UCRiverside @ubbchile @udeantofagasta
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“おじさん”はともかく “尤度を軽視する者は尤度に泣く”− #最尤推定 #MaximumLikelihood #ベイズ推定へ
尤度おじさんくっそワロタwww
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📊 Editor’s Choice Article Spotlight 📝Maximum Likelihood and Calibrating Prior Prediction Reliability Bias Reference Charts by Stephen Jewson 📖 brnw.ch/21x1Ptk #MaximumLikelihood; #prediction; #reliability; #extremes; #calibration; #CalibratingPriorPrediction
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Introduction to #Maximumlikelihood by Leandre Sabourin medium.com/@sabourinleandre/…
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Understanding #MaximumLikelihood Estimation and Fisher Information from Scratch (with Python) by Denis Alpino medium.com/@denis.tomin.alpi…
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⚠️#NewPaperAlert🪰 Molecular phylogenetics reveals Eocene origin and out-of-Africa dispersals of the stalk-eyed flies (#Diptera: #Schizophora: #Diopsidae) By Zhou et al. doi.org/10.1111/cla.70026 #Cladistics #Phylogenetics #Biogeography #Science #STEM #Taxonomy #MaximumLikelihood
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📊 Predictions from #MaximumLikelihood in #ParametricStatisticalModels often ignore parameter uncertainty—making #PredictiveProbabilityDistributions too narrow & underestimating tail risks (reliability bias). Read more here:📖mdpi.com/2571-905X/8/4/109
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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. 👉🏻brnw.ch/21wZZjh
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📈 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. 📖brnw.ch/21wZiHP
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17 Nov 2025
📊 #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 📖 brnw.ch/21wXyYk
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12 Nov 2025
🔭 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. 📖 brnw.ch/21wXqbp
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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. 🔗 brnw.ch/21wWAX6 Viewed: 1453; Cited: 5 #mdpisymmetry #maximumlikelihood
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A New Bivariate Family Based on Archimedean Copulas: Simulation, Regression Model and Application ✏️ Gabriela Rodrigues 🔗 brnw.ch/21wVROu Viewed: 2858; Cited: 4 #mdpisymmetry #maximumlikelihood #regressionmodel @usponline @unb_oficial @ufpeoficial
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#mdpisymmetry Article "A More Flexible Extension of the Fréchet Distribution Based on the Incomplete Gamma Function and Applications" is available at brnw.ch/21wTxNN Authors: Jaime S. Castillo et al. #maximumlikelihood #probabilitytheory #statistics @udeantofagasta
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11 Apr 2025
RAxML: A High-Performance Phylogenetic Tree Inference Tool RAxML (Randomized Axelerated Maximum Likelihood) Author: Alexandros Stamatakis Article link : lnkd.in/g7jjVcgj #Phylogenetics #EvolutionaryBiology #ComputationalBiology #Genomics #MaximumLikelihood #RAxML
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#mdpisymmetry Check this newly published article "The Computational Assessment on the Performance of Products with Multi-Parts Using the Gompertz Distribution" at brnw.ch/21wRBtU Authors: Shu-Fei Wu and Chieh-Hsin Peng #maximumlikelihood @ComSciMath_Mdpi
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