L'oeuvre de Sade et le conte. Le retour refoulé de Barbe-Bleue

Cet article s’intéresse aux différentes fonctions que l’on peut attribuer aux éléments fabuleux dans les œuvres du marquis de Sade. Il s’agit en particulier d’éclaircir les liens intertextuels entre Barbe-Bleue et un conte allégorique que le marquis publie, en 1800, dans la série de ses Crimes de l’amour, sous le titre de Rodrigue ou la tour enchantée. Dans ce texte, la chambre interdite renvoie aussi à un passé criminel, mais elle ne réveille pas la mauvaise conscience et ne suscite aucun remords. Sade semble vouloir faire du conte de Barbe-Bleue le paradigme d’un refoulement manqué, la figure d’une rechute malencontreuse dans un passé archaïque et indigne d’être examiné moralement. Or, les œuvres de Sade ne peuvent plus admettre l’univers surnaturel des contes de fées, considéré comme tout aussi révolu que cette conscience morale qui s’exprime par le remords.

Why Monte Carlo Simulations are Inferences and not Experiments

Monte Carlo simulations arrive at their results by introducing randomness, sometimes derived from a physical randomizing device. Nonetheless, we argue, they open no new epistemic channels beyond that already employed by traditional simulations: the inference by ordinary argumentation of conclusions from assumptions built into the simulations. We show that Monte Carlo simulations cannot produce knowledge other than by inference, and that they resemble other computer simulations in the manner in which they derive their conclusions. Simple examples of Monte Carlo simulations are analysed to identify the underlying inferences.

More than just Good Luck. How to Explain the Success of Monte Carlo Simulations

Monte Carlo simulation is a powerful method in many natural and social sciences. But what sort of method is it? And where does its power come from? Are Monte Carlo simulations experiments, theories or something else? The aim of this talk is to answer these questions and to explain the power of Monte Carlo simulations. I provide a classification of Monte Carlo techniques and defend the claim that Monte Carlo simulation is a sort of inference.

Chrétiens ›Roman de Perceval ou le Conte du Graal‹ und Wolframs ›Parzival‹. Ihre Überlieferung und textkritische Erschließung

This article discusses the manuscript transmission of Chrétien’s Roman de Perceval ou le Conte du Graal and Wolfram’s Parzival in terms of their textual tradition and editorial criticism. It shows that the most recent edition of the Old French Perceval (K. Busby 1993) can be viewed as a landmark of the art of conventional editing that appeared at the peak of the discussion of ‘New Philology’ and took its own position in this context. At the same time, the Perceval was subject of critical studies based on the principle of ‘unrooted trees’ that questioned the genealogical concept of traditional ‘Lachmannian’ stemmatology. Conversely, a new edition of Wolfram’s Parzival, based on all known manuscripts, remained a desideratum for decades in German studies. Specific research on the textual tradition played a rather marginal role for a long time, but has been reinforced in the recent years in the context of a new critical edition presenting the totality of manuscripts as well as different textual versions in electronic form. The concept of ‘unrooted trees’ visualizing relationships of manuscript readings can be integrated in this concept. The article gives an overview of these methods, presents examples of editorial techniques, and develops ideas on how to combine the research on the manuscript tradition of both the German text and its French counterpart.

Saddlepoint approximations to sensitivities of tail probabilities of random sums and comparisons with Monte Carlo estimators

This article proposes computing sensitivities of upper tail probabilities of random sums by the saddlepoint approximation. The considered sensitivity is the derivative of the upper tail probability with respect to the parameter of the summation index distribution. Random sums with Poisson or Geometric distributed summation indices and Gamma or Weibull distributed summands are considered. The score method with importance sampling is considered as an alternative approximation. Numerical studies show that the saddlepoint approximation and the method of score with importance sampling are very accurate. But the saddlepoint approximation is substantially faster than the score method with importance sampling. Thus, the suggested saddlepoint approximation can be conveniently used in various scientific problems.

A critical evaluation of secondary cancer risk models applied to Monte Carlo dose distributions of 2-dimensional, 3-dimensional conformal and hybrid intensity-modulated radiation therapy for breast cancer

The comparison of radiotherapy techniques regarding secondary cancer risk has yielded contradictory results possibly stemming from the many different approaches used to estimate risk. The purpose of this study was to make a comprehensive evaluation of different available risk models applied to detailed whole-body dose distributions computed by Monte Carlo for various breast radiotherapy techniques including conventional open tangents, 3D conformal wedged tangents and hybrid intensity modulated radiation therapy (IMRT). First, organ-specific linear risk models developed by the International Commission on Radiological Protection (ICRP) and the Biological Effects of Ionizing Radiation (BEIR) VII committee were applied to mean doses for remote organs only and all solid organs. Then, different general non-linear risk models were applied to the whole body dose distribution. Finally, organ-specific non-linear risk models for the lung and breast were used to assess the secondary cancer risk for these two specific organs. A total of 32 different calculated absolute risks resulted in a broad range of values (between 0.1% and 48.5%) underlying the large uncertainties in absolute risk calculation. The ratio of risk between two techniques has often been proposed as a more robust assessment of risk than the absolute risk. We found that the ratio of risk between two techniques could also vary substantially considering the different approaches to risk estimation. Sometimes the ratio of risk between two techniques would range between values smaller and larger than one, which then translates into inconsistent results on the potential higher risk of one technique compared to another. We found however that the hybrid IMRT technique resulted in a systematic reduction of risk compared to the other techniques investigated even though the magnitude of this reduction varied substantially with the different approaches investigated. Based on the epidemiological data available, a reasonable approach to risk estimation would be to use organ-specific non-linear risk models applied to the dose distributions of organs within or near the treatment fields (lungs and contralateral breast in the case of breast radiotherapy) as the majority of radiation-induced secondary cancers are found in the beam-bordering regions.