Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
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Updated
Nov 25, 2020 - R
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
Piece-wise exponential Additive Mixed Modeling tools
A workshop on using generalized additive models and the mgcv package.
A quick reference for how to run many models in R.
Documents that go into methodological detail regarding various statistical procedures.
Official Implementation of ARACHNET: INTERPRETABLE SUB-ARACHNOID SPACE SEGMENTATION USING AN ADDITIVE CONVOLUTIONAL NEURAL NETWORK
An introduction to the concepts of Survival Analysis and its implementation in lifelines package for Python.
Python implementations of semiparametric statistical techniques.
İBB'nin İkitelli'de bulunan güneş enerjisi panellerinin gelecek zamanda üretecekleri toplam enerjinin tahmininin yapılmasına ilişkin oluşturulmuş repository.
This project utilizes Facebook Prophet to analyze time series data and accurately predict commodity (avocado) prices for the market.
Piece-wise exponential Additive Mixed Models (PAMMs)
Pedestrians destination prediction
ENSAI : Stage 2A - modèles additifs fonctionnels & déconvolution
PAGER is an efficient genotype encoding strategy designed to improve the detection of non-additive genetic variation in complex trait association studies and epistasis investigation. PAGER dynamically encodes genetic variants or multi-locus genotypes (MLG) by normalizing mean phenotypic differences between genotype/MLG classes.
PAGER is an efficient genotype encoding strategy designed to improve the detection of non-additive genetic variation in complex trait association studies and epistasis investigation. PAGER dynamically encodes genetic variants or multi-locus genotypes (MLG) by normalizing mean phenotypic differences between genotype/MLG classes.
A Python Package for a Sparse Additive Boosting Regressor
Bayesian Hierarchical Additive Models
Ferenci Tamás: Simítás, spline-regresszió, additív modellek (jegyzet).
Some decision models for the nutri-score label of foods
Teleològic i abductiu: Una aproximació als models additius per la interpretabilitat.
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