Fast Partition-Based Cross-Validation Algorithms for Matrix Models

Algorithms cut partition‑based cross‑validation to the time of a single XᵀX/XᵀY product. Published in Journal of Chemometrics 2025 and on arXiv:2401.13185. Read more: getnews.me/fast-partition-based-cro... #crossvalidation #matrixmodels #chemometrics

#TimeSeries #Forecasting #DataScience #MachineLearning #M5 #CrossValidation

Understand bias-variance tradeoffs for time-based folds
#CrossValidation #MLEngineering #FinancialAI #timeseries #forecasting

Machine Learning Fundamentals: cross validation Cross Validation in Production Machine Learning Systems 1. Introduction In Q3...

Machine Learning Fundamentals: cross validation Cross Validation in Production Machine Learning Systems 1. Introduction In Q3 2023, a critical anomaly detection model powering fraud prevention at a...

#machinelearning #ai #crossvalidation

Origin | Interest | Match

#DataScience #MachineLearning #Statistics #ModelSelection #CrossValidation #AIC #PredictiveModeling #LinkedInLearning

✨ Excited to share our new preprint: osf.io/preprints/os... ✨

In this paper, Nick Jacobson and I dive into the challenges researchers face when developing prediction models for just-in-time adaptive interventions (JITAI). 🧵👇

#EMA #JITAI #CrossValidation #PassiveSensing

Let's discuss how we can innovate beyond traditional methods to ensure our models truly generalize.

#MachineLearning #DataScience #CrossValidation #TimeSeries #SpatialData

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On the marginal likelihood and cross-validation Summary. In Bayesian statistics, the marginal likelihood, also known as the evidence, is used to evaluate model fit as it quantifies the joint probability

#statstab #103 On the marginal likelihood and cross-validation

Thoughts: Can't say I can follow much of this, so I'll open it up to the #bayesian community for input. Seems important though.

#stats #bayes #likelihood #evidence #crossvalidation

doi.org/10.1093/biom...

Protocol for a #crossvalidation assessing the validity of two metrics for depression self-reports, focusing on size of bias & precision of depression severity estimates:


Metrics:




#itembank #psychometrics