Articles by T. Moudiki
Presenting ‘Online Probabilistic Estimation of Carbon Beta and Carbon Shapley Values for Financial and Climate Risk’ at Institut Louis Bachelier
Presenting 'Online Probabilistic Estimation of Carbon Beta and Carbon Shapley Values for Financial and Climate Risk' at Institut Louis Bachelier for the 18th FINANCIAL RISKS INTERNATIONAL FORUM
Web app with DeepSeek R1 and Hugging Face API for chatting
Demo usage of DeepSeek R1 and Hugging Face API for chatting [Read more...]
tisthemachinelearner: A Lightweight interface to scikit-learn with 2 classes, Classifier and Regressor (in Python and R)
R version of survivalist: Probabilistic model-agnostic survival analysis using scikit-learn, xgboost, lightgbm (and conformal prediction)
Survival analysis is used to predict the time until an event of interest occurs. In this post, I show how to use scikit-learn, xgboost, lightgbm, and conformal prediction for probabilistic survival analysis
A simple test of the martingale hypothesis in esgtoolkit
Command Line Interface (CLI) for techtonique.net’s API
Command Line Interface (CLI) for techtonique.net's API [Read more...]
Gradient-Boosting and Boostrap aggregating anything (alert: high performance): Part5, easier install and Rust backend
Gradient-Boosting and Boostrap aggregating anything (alert: high performance): Part5, easier install and Rust backend
Just got a paper on conformal prediction REJECTED by International Journal of Forecasting despite evidence on 30,000 time series (and more). What’s going on? Part2: 1311 time series from the Tourism competition
Extensive benchmark based on 1311 time series from the Tourism competition, comparing the splitconformal method to the state of the art.
Techtonique is out! (with a tutorial in various programming languages and formats)
A platform for making informed, data-driven decisions using Mathematics, Statistics, Machine Learning, and Data Visualization
Just got a paper on conformal prediction REJECTED by International Journal of Forecasting despite evidence on 30,000 time series (and more). What’s going on?
Extensive benchmark based on 30,000 time series (code provided in this post) and conformal prediction, with R and Python code provided [Read more...]
Stock price forecasting with Deep Learning: throwing power at the problem (and why it won’t make you rich)
Stock price forecasting with Deep Learning: throwing power at the problem (and why it won't make you rich)
No-code Machine Learning Cross-validation and Interpretability in techtonique.net
No-code Machine Learning Cross-validation and Interpretability in techtonique.net: what are the variables that drive an increase in the price of an apartment, or the probability of a patient having cancer? Is the effect of the number of rooms on the price of an apartment statistically significant? To what extent ... [Read more...]
Unified interface and conformal prediction (calibrated prediction intervals) for R package forecast (and affiliates)
Unified interface and calibrated prediction intervals for R package forecast, with multiple examples
GLMNet in Python: Generalized Linear Models
Gradient-Boosting anything (alert: high performance): Part4, Time series forecasting
Gradient boosting with any regression algorithm in Python and R package mlsauce. Part4, Time series forecasting
Predictive scenarios simulation in R, Python and Excel using Techtonique API
Chat with your tabular data in www.techtonique.net
Gradient-Boosting anything (alert: high performance): Part3, Histogram-based boosting
Gradient boosting with any regression algorithm in Python and R package mlsauce. Part3, Histogram-based boosting
R editor and SQL console (in addition to Python editors) in www.techtonique.net
Copyright © 2025 | MH Corporate basic by MH Themes