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International audience ; Studying time is at the core of the historian's research. For the statistician, time is usually a supplementary parameter or a supplementary variable which the models he develops have to take into account. This manuscript is the result of a collaboration between historians and mathematicians, having time as the starting point of a joint work. We are interested in studying a specific time-series, reporting the production of law related to military logistics of the Duchy of Savoy, during the XVIth and XVIIth centuries. The expected outcome is a better understanding of the temporality and of the functioning of the state. Two models based on hidden Markov chains and taking into account the specificities of the data are introduced. They are then estimated on the historical data and provide interesting results, which either confirm the existing historical hypothesis on the subject or bring new insights on the studied period.

International audience ; Studying time is at the core of the historian's research. For the statistician, time is usually a supplementary parameter or a supplementary variable which the models he develops have to take into account. This manuscript is the result of a collaboration between historians and mathematicians, having time as the starting point of a joint work. We are interested in studying a specific time-series, reporting the production of law related to military logistics of the Duchy of Savoy, during the XVIth and XVIIth centuries. The expected outcome is a better understanding of the temporality and of the functioning of the state. Two models based on hidden Markov chains and taking into account the specificities of the data are introduced. They are then estimated on the historical data and provide interesting results, which either confirm the existing historical hypothesis on the subject or bring new insights on the studied period.

International audience ; Studying time is at the core of the historian's research. For the statistician, time is usually a supplementary parameter or a supplementary variable which the models he develops have to take into account. This manuscript is the result of a collaboration between historians and mathematicians, having time as the starting point of a joint work. We are interested in studying a specific time-series, reporting the production of law related to military logistics of the Duchy of Savoy, during the XVIth and XVIIth centuries. The expected outcome is a better understanding of the temporality and of the functioning of the state. Two models based on hidden Markov chains and taking into account the specificities of the data are introduced. They are then estimated on the historical data and provide interesting results, which either confirm the existing historical hypothesis on the subject or bring new insights on the studied period.

This article uses recent English-language historical accounts of the 1707 siege of the French naval base of Toulon by the army of Prince Eugene of Savoy as a case study of the distortions that can occur when the authors of these accounts have not made full use of works written at the time of the events they treat and, in particular, are ignorant of the historical literature on the subject in languages other than their own (in this case, works in French, German, and Italian). The author believes that these shortcomings in the English-language literature on the military history of the 1688–1748 period, which currently dominates the field, demonstrate how much work remains to be done on every aspect of this crucial period, addressing once again problems that everyone believed had been closed for good.