PsyArXiv
metadata only
A Bayesian method for representing the process of accumulating evidence over time: The case of forgetting curve models
In the practice of cognitive modeling, comparing and organizing proposed models plays a crucial role in refining psychological theory. Secondary data analysis provides a useful framework for such evaluations, enabling researchers to assess models across multiple datasets. Bayes factors (BFs) are val
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
- A Bayesian method for representing the process of accumulating evidence over time: The case of forgetting curve models#989241
- MemoryLACE: Memory Lifecycle-Aware Consolidation and Evidence Retrieval#925562
- Statistical harmonization of versions of measures across studies using external data: Self-rated health and self-rated memory#1174779
- Detecting Conflicts in Evidence Synthesis Models Using Score Discrepancies#1082986
- A Bayesian Learning Model for Joint Risk Prediction of Alcohol and Cannabis Use Disorders.#358529
Record · ID 989383
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