Category
Advanced Modeling
This category will cover several advanced statistical modeling methods using R or Python, including time series analysis, machine learning, deep learning, forecasting, text mining, network analysis, and Bayesian regression.
80
articles
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views
R Project
Python
Advanced Modeling
10 years ago
Smoothing Techniques using basis functions: Gaussian Basis
Rene Essomba
Advanced Modeling
10 years ago
Modelling Dependence with Copulas in R
Michy Alice
Advanced Modeling
10 years ago
Linear Mixed-effect Model Workflow
Lionel Hertzog
Advanced Modeling
10 years ago
Smoothing Techniques using basis functions: Fourier Basis
Rene Essomba
Advanced Modeling
10 years ago
Fitting a Neural Network in R; neuralnet package
Michy Alice
Advanced Modeling
11 years ago
Analysing Longitudinal Data: Multilevel Growth Models (II)
Frederick Ho
Advanced Modeling
11 years ago
Analysing Longitudinal Data: Multilevel Growth Models (I)
Frederick Ho
Advanced Modeling
11 years ago
Time Series Analysis: Building a Model on Non-stationary Time Series
Beau Lucas
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