Code and tutorials for fitting generalized linear models (GLM) in Tensorflow 2
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Updated
Aug 16, 2024 - Jupyter Notebook
Code and tutorials for fitting generalized linear models (GLM) in Tensorflow 2
Statsmodels: statistical modeling and econometrics in Python
Benchopt benchmark for GLMs
Statistical analysis of the Los Angeles real estate market in form of assessed values and rental prices
Tesis "Modelos de regresión gamma generalizada cero-inflacionada para la media" (PUCP, 2018). > Regresión para respuesta semi-continua cero-inflacionada
Sorted L1 Penalized Estimation
Efficient Variable Selection for GLMs in R
GAM workshop for NHS-R Community Conference 2023
This repository contains the R codes used for the simulation analyses in the manuscript titled "Censored Panel Quantile Regression with Fixed Effects via an Asymmetric Link Function" by Fulden Komuryakan & Selahattin Guris.
This repository contains the R code done in the laboratories during the first course of statistical models.
Fitting dose-response models in R
Course website for UCLA Biostat 200C - 2023 Spring
one day introduction to generalized nonlinear models using the gnm and logmult R packages
Interactive visualization of ordered logistic regression
This repository documents my senior year independent project related to exploring the impact of behavioral interactions on the foraging success/attempts of five, peruvian army-ant following birds.
his repository contains the data and source code used to produce the results presented in the paper linked below.
From linear regression towards neural networks...
One-hot HMM-GLM. GLM with a one-hot prior on top of a hidden Markov model.
One-hot HMM-GLM. GLM with a one-hot prior on top of a hidden Markov model.
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