Tabla de Contenidos: “…L'Ordre de Malte et la Croisade au début de l'Époque Moderne / Anne Brogini sièc -- El imaginario de la Orden de Malta: Milicia de Cristo, Cruzada de Dios / Pedro García Martín -- Servir a la Monarquía sirviendo a "la Religión": La renovación de la tradición jerosolimitana de la nobleza navarra y la estrategia discursiva del mérito entre los siglos XVI y XVII / Fernando Chavarría Múgica -- Principi e cardinali italiani ricevuti nell'Ordine di San Giovanni di Gerusalemme (secoli XVI-XVII) / Angelantonio Spagnoletti -- Le relazioni diplomatiche tra il Regno di Sicilia e i Cavalieri di San Giovanni nella prima metà del XVII secolo: Le ragioni e il fine di un atteggiamento neutrale / Rafaella Pilo -- Filiberto de Saboya,un príncipe que llega a ser Gran Prior / Miguel Ángel de Bunes Ibarra -- Don Juan (José) de Austria, bastardo regio y Gran Prior. …”
Acceso restringido con credenciales, usuarios UPSA

Tabla de Contenidos: “…; 1.4.2.2 Where do Savage's priors come from?; 1.4.2.3 When are the worlds of game theory small?…”

Tabla de Contenidos: “…7.4.2.1 Robust Bayes and imprecise probabilities -- 7.4.2.2 Some computational aspects -- 7.4.3 A closer exemplary look at a popular class of models: The IDM and other models based on sets of conjugate priors in exponential families -- 7.4.3.1 The general model -- 7.4.3.2 The IDM and other prior near-ignorance models -- 7.4.3.3 Substantial prior information and sensitivity to prior-data conflict -- 7.4.4 Some further comments and a brief look at other models for generalized Bayesian inference -- 7.5 Frequentist statistics with imprecise probabilities -- 7.5.1 The nonrobustness of classical frequentist methods -- 7.5.2 (Frequentist) hypothesis testing under imprecise probability: Huber-Strassen theory and extensions -- 7.5.2.1 A generalized Neyman-Pearson setting: Basic concepts -- 7.5.2.2 Globally least favourable pairs and Huber-Strassen theory -- 7.5.3 Towards a frequentist estimation theory under imprecise probabilities-some basic criteria and first results -- 7.5.3.1 Basic traditional criteria -- 7.5.3.2 Generalized unbiasedness -- 7.5.3.3 Minimum distance estimation -- 7.5.3.4 Asymptotics -- 7.5.4 A brief outlook on frequentist methods -- 7.6 Nonparametric predictive inference -- 7.6.1 Overview -- 7.6.2 Applications and challenges -- 7.7 A brief sketch of some further approaches and aspects -- 7.8 Data imprecision, partial identification -- 7.8.1 Data imprecision -- 7.8.1.1 The basic setting -- 7.8.1.2 Basic coarsening model -- 7.8.1.3 Coarse data in traditional statistics -- 7.8.2 Cautious data completion -- 7.8.3 Partial identification and observationally equivalent models -- 7.8.3.1 (Partial) Identifiability, identification regions -- 7.8.3.2 Partial identification and misclassification -- 7.8.4 A brief outlook on some further aspects -- 7.8.4.1 Partial identification and other concepts of imprecise probabilities…”

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