arXiv Open Access 2021

The Past as a Stochastic Process

David H. Wolpert Michael H. Price Stefani A. Crabtree Timothy A. Kohler Jurgen Jost +4 lainnya

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Abstrak

Historical processes manifest remarkable diversity. Nevertheless, scholars have long attempted to identify patterns and categorize historical actors and influences with some success. A stochastic process framework provides a structured approach for the analysis of large historical datasets that allows for detection of sometimes surprising patterns, identification of relevant causal actors both endogenous and exogenous to the process, and comparison between different historical cases. The combination of data, analytical tools and the organizing theoretical framework of stochastic processes complements traditional narrative approaches in history and archaeology.

Topik & Kata Kunci

stat.AP cs.LG econ.EM

Penulis (9)

David H. Wolpert

Michael H. Price

Stefani A. Crabtree

Timothy A. Kohler

Jurgen Jost

James Evans

Peter F. Stadler

Hajime Shimao

Manfred D. Laubichler

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APA MLA BibTeX

Wolpert, D.H., Price, M.H., Crabtree, S.A., Kohler, T.A., Jost, J., Evans, J. et al. (2021). The Past as a Stochastic Process. https://arxiv.org/abs/2112.05876

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Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓