Piece-wise exponential Additive Mixed Models (PAMMs)
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Updated
Oct 18, 2017 - R
Piece-wise exponential Additive Mixed Models (PAMMs)
Python implementations of semiparametric statistical techniques.
A quick reference for how to run many models in R.
Documents that go into methodological detail regarding various statistical procedures.
A workshop on using generalized additive models and the mgcv package.
Some decision models for the nutri-score label of foods
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 **Superseded by the models-by-example repo**.
Analysis to forecast IHSG based on several macro economic indicator using Generalize Additive Model.
Ferenci Tamás: Simítás, spline-regresszió, additív modellek (jegyzet).
Teleològic i abductiu: Una aproximació als models additius per la interpretabilitat.
An introduction to the concepts of Survival Analysis and its implementation in lifelines package for Python.
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.
A Python Package for a Sparse Additive Boosting Regressor
Bayesian Hierarchical Additive Models
Pedestrians destination prediction
Piece-wise exponential Additive Mixed Modeling tools
Official Implementation of ARACHNET: INTERPRETABLE SUB-ARACHNOID SPACE SEGMENTATION USING AN ADDITIVE CONVOLUTIONAL NEURAL NETWORK
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.
Statistical inference in sparse high-dimensional additive models
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