MIT Open Scholarship
metadata only
Probabilistic latent variable modeling for predicting future well-being and assessing behavioral influences on mood, stress and health
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Mental Health Prediction Using Machine Learning#404893
- Heterogeneity of depressive symptoms and associated factors in Korean adults: a latent class analysis using a national data survey.#449975
- Manageable Environmental Factors in Migraine#905309
- Latent profile analysis of adolescents' active health behaviors and the predictive factors.#258059
- Modeling bounded well-being indices using Bayesian double generalized beta regression with spatial and temporal borrowing#1052289
Record · ID 284691
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive