In recent years, the increasing accumulation of radiocarbon dating data in Jomon research has progressed, creating a foundation for more detailed chronological estimates of the Jomon period’s high-resolution typo-chronology. However, there remains a gap between relative chronologies based on typology and radiocarbon data. A key issue arises from discrepancies between the concept of keishiki (“type” in Japanese) as a time unit of relative chronology, defined based on production period, and the radiocarbon dates, which reflect various events that occurred to the pottery after its production. To overcome the gap, this study introduced a new Bayesian chronological model, the one-sided sequential model, which sequentially orders only the start boundaries of each typological group. When this model was applied to a case study from the Middle Jomon period in the Kanto region, it estimated more reasonable date ranges for each phase of the typo-chronology than the contiguous model. Additionally, the resulting estimated duration of each pottery type was shorter during periods of higher estimated populations and longer during periods of lower estimated populations, providing new insights into the temporal aspects of Jomon society While Bayesian chronological modeling is not prevalent in Jomon research, appropriate models make it possible to make chronological estimates consistent with the high-resolution Jomon chronology, which is considered to approach a generational scale. Such attempts enable detailed clarification of various social and cultural changes. The temporality of the past thus revealed provides a new approach to a deeper understanding of Jomon society.