%0 Journal Article %1 Wolpert2021-rf %A Wolpert, David H %A Price, Michael H %A Crabtree, Stefani A %A Kohler, Timothy A %A Jost, Jurgen %A Evans, James %A Stadler, Peter F %A Shimao, Hajime %A Laubichler, Manfred D %D 2021 %I arXiv %K %T The past as a stochastic process %X 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.

@article{Wolpert2021-rf, abstract = {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.}, added-at = {2024-09-10T11:56:37.000+0200}, author = {Wolpert, David H and Price, Michael H and Crabtree, Stefani A and Kohler, Timothy A and Jost, Jurgen and Evans, James and Stadler, Peter F and Shimao, Hajime and Laubichler, Manfred D}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2b422b237e3e0a2fd26a7fb7aa3f8bbe2/scadsfct}, interhash = {533d70cf494a7c26b668dc2debeb07ca}, intrahash = {b422b237e3e0a2fd26a7fb7aa3f8bbe2}, keywords = {}, publisher = {arXiv}, timestamp = {2024-09-10T15:15:57.000+0200}, title = {The past as a stochastic process}, year = 2021 }