Showing entries 14801-14900 out of 28187.
Tests of Randomness and Tests of Independence
Mixed Level Response Surface Designs
Mixed, Low-Rank, and Sparse Multivariate Regression on High-Dimensional Data
Tools for Discrete Multivariate Mixed Membership Models
Mixed Poisson Models
Statistical Tools for the Analysis of Psychophysical Data
Estimation Methods for Stochastic Differential Mixed Effects Models
Mixed Tempered Stable Distribution
Design and Analysis of Mixture Experiments
Evaluation of the FIM in NLMEMs using MCMC
Mixture fMRI Clustering Analysis
Multiple Imputation Through 'XGBoost'
Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized …
Mixture of Multiple Highly Variable Feature Selection Methods
Genetics and Independence Testing of Mixed Genetic Panels
Omics Data Integration Using Kernel Methods
Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
Mixed Model ANOVA and Statistics for Education
Classification with Matrix Variate Normal and t Distributions
An Extended Mixed-Effects Framework for Meta-Analysis
Design and Analysis of Order-of-Addition Mixture Experiments
Mixed Variable Optimization
Mixture Optimization Algorithm
Mixtures of Proportional Hazard Models
Mixed Poisson Regression for Overdispersed Count Data
Finite Mixture Modeling for Raw and Binned Data
Plotting and Average Theta Functions for Multiple Class Mixed Rasch Models
A Random-Forest-Based Approach for Imputing Clustered Incomplete Data
Mixtures of Multivariate Shifted Asymmetric Laplace (SAL) Distributions
Mixture Models: Parametric, Semiparametric, and Robust
Bayesian Mixing Models in R
Simulating Data to Study Performance of Clustering Algorithms
Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions
Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clus…
Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions
Clustering Using Mixtures of Sub Gaussian Stable Distributions
Tools for Analyzing Finite Mixture Models
Dose Response Curve Fitting and Mixture Toxicity Assessment
Modelling Continuous Report Visual Short-Term Memory Studies
Mixture Models for Clustering and Classification
Robust and Flexible Model-Based Clustering for Data Sets with Missing Values at Random
Large-Scale Hypothesis Testing by Variance Mixing
Analysis and Exploration of Mixed Microbial Genomic Samples
Variable Length Markov Chains with Covariates
Unconstrained Numerical Optimization Algorithms
Dynamic Multi-Species Size Spectrum Modelling
Multivariate Joint Models with 'bamlss'
Statistical Classification
2D and 3D Movement-Based Kernel Density Estimates (MKDEs)
Descriptive Statistics
Matrix Kendall's Tau and Matrix Elliptical Factor Model
Kinetic Evaluation of Chemical Degradation Data
Inferential Statistics
Maximum Kernel Likelihood Estimation
A Modern K-Means (MKMeans) Clustering Algorithm
Miscellaneous Functions from M. Kohl
Multiple Knapsack Problem Solver
Omics Data Analysis
Power Analysis and Sample Size Calculation
Efficient Multi-Level k-Circulant Supersaturated Designs
Variational Autoencoder Models for IRT Parameter Estimation
Abstract Classes for Building 'scikit-learn' Like API
Machine Learning Benchmark Problems
Create 'ggplot2' and 'gt' Visuals with Major League Baseball Logos
Major League Baseball Player Statistics Calculator
Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality
Maximum Likelihood Conjoint Measurement
Classification Models with Copula Functions
Collection of Machine Learning Datasets for Supervised Machine Learning
Exploratory Data Analysis and Manipulation of Multi-Label Data Sets
Maximum Likelihood Difference Scaling
Machine Learning Algorithms with Unified Interface and Confusion Matrices
Asymptotic Efficient Closed-Form Estimators for Multivariate Distributions
Computation of the MLE for Bivariate Interval Censored Data
Maximum Likelihood Estimates of Gaussian Processes
MLE for Normally Distributed Data Censored by Limit of Detection
Multilevel Exponential-Family Random Graph Models
Machine Learning Model Evaluation
Machine Learning Experiments