#Techtonique
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Generating Synthetic Data with R-vine Copulas using esgtoolkit in R
https://thierrymoudiki.github.io/blog/2025/09/21/r/synthetic-copulas

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September 29, 2026 at 2:29 PM
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nnetsauce's introduction as of 2024-02-11 (new version 0.17.0)
https://thierrymoudiki.github.io/blog/2024/02/11/python/quasirandomizednn/nnetsauce-tuto

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September 29, 2026 at 1:43 AM
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Boosted Configuration (neural) Networks Pt. 2
https://thierrymoudiki.github.io/blog/2022/09/03/r/boosted-configuration-networks-pt2

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September 28, 2026 at 9:28 PM
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Prediction intervals for nnetsauce models
https://thierrymoudiki.github.io/blog/2019/10/18/quasirandomizednn/nnetsauce-prediction-intervals

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September 28, 2026 at 7:23 PM
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rtopy (v0.1.1): calling R functions in Python
https://thierrymoudiki.github.io/blog/2024/03/04/python/r/rtopyintro

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September 28, 2026 at 4:18 PM
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Forecasting benchmark: Dynrmf (a new serious competitor in town) vs Theta Method on M-Competitions and Tourism competitition
https://thierrymoudiki.github.io/blog/2026/01/01/r/theta-vs-dynrmf-on-M1-M3-Tourism

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September 28, 2026 at 12:28 AM
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A Machine Learning workflow using Techtonique
https://thierrymoudiki.github.io/blog/2022/06/06/python/lsboost/explainableml/mlsauce/techtonique-workflow

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September 27, 2026 at 4:36 PM
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Stock price forecasting with Deep Learning: throwing power at the problem (and why it won't make you rich)
https://thierrymoudiki.github.io/blog/2024/12/29/r/stock-forecasting

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September 27, 2026 at 1:26 PM
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Analyzing Paper Reviews with LLMs: I Used ChatGPT, DeepSeek, Qwen, Mistral, Gemini, and Claude (and you should too + publish the analysis)
https://thierrymoudiki.github.io/blog/2025/12/03/r/python/misc/analyzing-reviews

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September 27, 2026 at 12:24 AM
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Conformalized predictive simulations for univariate time series on more than 250 data sets
https://thierrymoudiki.github.io/blog/2024/04/07/r/conformal-time-series

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September 26, 2026 at 6:52 PM
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Maximizing your tip as a waiter
https://thierrymoudiki.github.io/blog/2020/06/05/python/r/misc/databases/mlsauce/target-encoder-correlation-2

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September 26, 2026 at 4:00 PM
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Transfer Learning using ahead::ridge2f on synthetic stocks returns Pt.2: synthetic data generation
https://thierrymoudiki.github.io/blog/2025/09/09/r/python/pretraining-ridge2f-part2

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September 26, 2026 at 12:35 PM
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mlsauce (home to a model-agnostic gradient boosting algorithm) can now be installed from PyPI.
https://thierrymoudiki.github.io/blog/2025/07/10/python/mlsauce

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September 26, 2026 at 12:29 AM
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`crossvalidation` on R-universe, plus a classification example
https://thierrymoudiki.github.io/blog/2021/07/23/r/crossvalidation-r-universe

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September 25, 2026 at 7:43 PM
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Extending the Theta forecasting method to GLMs, GAMs, GLMBOOST and attention: benchmarking on Tourism, M1, M3 and M4 competition data sets (28000 series)
https://thierrymoudiki.github.io/blog/2025/04/14/r/theta-M1-M3-M4

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September 25, 2026 at 4:48 PM
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LSBoost: Explainable 'AI' using Gradient Boosted randomized networks (with examples in R and Python)
https://thierrymoudiki.github.io/blog/2020/07/24/python/r/lsboost/explainableml/mlsauce/xai-boosting

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September 25, 2026 at 1:07 PM
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News from ESGtoolkit, ycinterextra, and nnetsauce
https://thierrymoudiki.github.io/blog/2022/04/04/python/r/misc/packages-news

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September 25, 2026 at 12:24 AM
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Stacked generalization (Machine Learning model stacking) + conformal prediction for forecasting with ahead::mlf
https://thierrymoudiki.github.io/blog/2025/06/18/r/mlf-stacking

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September 24, 2026 at 7:37 PM
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A Guide to Using techtonique.net's API and rush for simulating and plotting Stochastic Scenarios
https://thierrymoudiki.github.io/blog/2025/05/30/r/python/techtonique/esgtoolkit-techtonique-api-rush

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September 24, 2026 at 4:43 PM
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Boosted Configuration (_neural_) Networks for classification
https://thierrymoudiki.github.io/blog/2022/07/21/r/misc/boosted-configuration-networks

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September 24, 2026 at 1:03 PM
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Prediction intervals (not only) for Boosted Configuration Networks in Python
https://thierrymoudiki.github.io/blog/2022/10/05/python/explainableml/interpretation-and-PI-for-BCN

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September 24, 2026 at 12:21 AM
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A diffusion model: G2++
https://thierrymoudiki.github.io/blog/2023/10/09/r/g2plus

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September 23, 2026 at 7:20 PM
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nnetsauce for R
https://thierrymoudiki.github.io/blog/2020/01/31/r/quasirandomizednn/nnetsauce-R-1

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September 23, 2026 at 4:20 PM
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unifiedml in R: A Unified Machine Learning Interface
https://thierrymoudiki.github.io/blog/2025/11/05/r/unifiedml-in-r

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September 23, 2026 at 1:10 PM
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Tests for the significance of marginal effects in the teller
https://thierrymoudiki.github.io/blog/2019/11/08/explainableml/the-teller-2

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September 23, 2026 at 12:14 AM