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Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
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Tools for Multilayer and Single Layer Network Modeling
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Classification with Matrix Variate Normal and t Distributions
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An Extended Mixed-Effects Framework for Meta-Analysis
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Mixed Poisson Regression for Overdispersed Count Data
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Simulation-Based Power Analysis for Mixed-Effects Models
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Extensible Finite Mixtures of Quantile and Expectile Regressions
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A Random-Forest-Based Approach for Imputing Clustered Incomplete Data
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Mixtures of Multivariate Shifted Asymmetric Laplace (SAL) Distributions
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Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions
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Parameter Estimation for Stable Distributions and Their Mixtures
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Dose Response Curve Fitting and Mixture Toxicity Assessment
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Modelling Continuous Report Visual Short-Term Memory Studies
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Fitting of Univariate Mixture Distributions to Data using Various Approaches
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2D and 3D Movement-Based Kernel Density Estimates (MKDEs)
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Maximum Likelihood Inference on Multi-State Trees
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Collection of Machine Learning Datasets for Supervised Machine Learning
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Exploratory Data Analysis and Manipulation of Multi-Label Data Sets
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Resampling Algorithms for Multi-Label Datasets
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Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions
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Machine Learning Algorithms with Unified Interface and Confusion Matrices
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MLE for Normally Distributed Data Censored by Limit of Detection
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