an R package for structural equation modeling and more
-
Updated
Jun 12, 2024 - R
an R package for structural equation modeling and more
rstanarm R package for Bayesian applied regression modeling
An R package for Bayesian structural equation modeling
Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models
Basic statistical modelling examples.
The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
Code and resources to serve as a starting point for data science projects.
農研機構統計研修「ベイズ統計モデリングとMCMC」
Recursive Partitioning for Structural Equation Models
We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals
OCaml Random Forests
An autoencoder neural network and a Gaussian mixture model are used for generating movement quality scores for rehabilitation exercises.
rstanarm R package for Bayesian applied regression modeling
Portfolio of personal projects & curriculum from Springboard
Expand broom::tidy() output for categorical parameter estimates
Wrapper on top of libsvm-tools
2022-11_brainhack_DetecSpikMotifs: Automatic detection of spiking motifs in neurobiological data. This project aims to develop a method for the automated detection of repeating spiking motifs, possibly noisy, in ongoing activity.
MATH-342 Time Series course taken at EPFL during Spring 17-18.
Simple statistical prediction of the survival chances of the passengers in the testing set, given certain conditions as input. Refer to README.md for more detail
Add a description, image, and links to the statistical-modeling topic page so that developers can more easily learn about it.
To associate your repository with the statistical-modeling topic, visit your repo's landing page and select "manage topics."