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@KirkDBorne: Bayes Rules! — An Introduction to Applied Bayesian Modeling (Chapman & Hall/CRC Texts in Statistical Science): https://…

X AI KOLs Timeline ↗ · 6d ago Cached

Kirk Borne 分享并推荐了教材《Bayes Rules!: An Introduction to Applied Bayesian Modeling》,该书由 Alicia A. Johnson、Miles Q. Ott 和 Mine Dogucu 编写,涵盖共轭先验、MCMC、回归与层级模型,并配有 bayesrule R 包。

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#statistical-modeling

@TonerousHyus: Nate is so good at his job dawg

X AI KOLs Following ↗ · 2026-09-19 Cached

The tweet praises Nate Silver's work and shares FiveThirtyEight's election forecast, which predicts Harris with a 60% chance of winning.

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#statistical-modeling

Forking Fast: Efficiently Estimating Uncertainty Dynamics in Text Generation

arXiv cs.CL ↗ · 2026-08-21 Cached

This paper proposes a statistical model to efficiently estimate uncertainty dynamics in text generation, smoothing noisy resampling data to significantly reduce computational costs while maintaining accuracy in analyzing LLM reasoning chains.

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#statistical-modeling

@Phoenixyin13: Top 10 Skills & Tools for Social Science Research! 1. Auto-Empirical-Research-Skills - Stanford team's self-developed 23k+ empirical research Agent Skills all-in-one package https://github.com/brycewan…

X AI KOLs Timeline ↗ · 2026-06-30 Cached

This article recommends the top 10 skills and tools for social science research, including Auto-Empirical-Research-Skills developed by the Stanford team, for using AI agents to conduct empirical research and write papers.

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#statistical-modeling

VESTA: Visual Exploration with Statistical Tool Agents

arXiv cs.AI ↗ · 2026-06-02 Cached

This paper introduces VESTA, a framework that equips vision-language models with dynamically growing toolkits for data exploration and statistical model refinement, outperforming prior agent-based methods on complex scientific modeling tasks. The authors also present Dawn, a benchmark for distribution fitting and time series modeling, including real-world astronomy challenges.

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#statistical-modeling

Significance and Stability Analysis of Gene-Environment Interaction using RGxEStat

Hugging Face Daily Papers ↗ · 2026-04-03 Cached

The paper introduces RGxEStat, a lightweight interactive tool that applies mixed-effect models to analyze gene-environment interactions, offering breeders a user-friendly alternative to complex SAS/R programming.

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