Natural a-Quantiles and Conditional a-Quantlies.
Non-exchangeable random variables, Archimax copulas and their fitting to real data
The aim of this paper is to open a new way of modelling non-exchangeable random variables with a class of Archimax copulas. We investigate a connection between powers of generators and dependence functions, and propose some construction methods for dependence functions. Application to different hydrological data is given.
Nonquadratic stabilization of continuous-time systems in the Takagi-Sugeno form
This paper presents a relaxed scheme for controller synthesis of continuous- time systems in the Takagi-Sugeno form, based on non-quadratic Lyapunov functions and a non-PDC control law. The relaxations here provided allow state and input dependence of the membership functions’ derivatives, as well as independence on initial conditions when input constraints are needed. Moreover, the controller synthesis is attainable via linear matrix inequalities, which are efficiently solved by commercially available...
Note méthodologique. Mesures, proportions et probabilités : sur l'emploi des formulations ensemblistes en inférence statistique
Note méthodologique. Statistiques de groupe, groupes d'observations
Cette note se situe dans le cadre d'un travail méthodologique en cours, sur la formalisation des procédures élémentaires d'analyse de données. Nous nous bornerons ci-dessous (§ 1) à rappeler les notions de base nécessaires à la compréhension de cette note. En sciences humaines, l'expression de «groupe d'observations» est souvent utilisée comme quasi-synonyme de «famille d'observations», mais avec une connotation plus restrictive : un groupe est une famille d'observations considérée comme «formant...
Nuevas medidas de información paramétricas reales basadas en la matriz de Fisher.
Se proponen en este trabajo nuevos funcionales reales de la matriz de información de Fisher como medidas de información paramétricas. Se analizan las propiedades de dichas medidas. Se presenta un método sencillo, basado en la matriz de Fisher, para obtener medidas de información paramétricas reales con la propiedad de invariancia bajo transformaciones biyectivas del espacio paramétrico.
On a famous problem of induction.
A Bayesian solution is provided to the problem of testing whether an entire finite population shows a certain characteristic, given that all the elements of a random sample are observed to have it. This is obtained as a direct application of existing theory and, it is argued, improves upon Jeffrey's solution.
On a Theory of Scale Types.
On conditional independence and the relationship between sufficiency and invariance under the Bayesian point of view.
On detectors with incomplete answers
On finite additivity, non-conglomerability and statistical paradoxes.
Some statistical paradoxes arising from the use of non-conglomerable finitely additive distributions are discussed.
On Invariant Parametric Covariance Families.
On maximum entropy priors and a most likely likelihood in auditing.
There are two basic questions auditors and accountants must consider when developing test and estimation applications using Bayes' Theorem: What prior probability function should be used and what likelihood function should be used. In this paper we propose to use a maximum entropy prior probability function MEP with the most likely likelihood function MLL in the Quasi-Bayesian QB model introduced by McCray (1984). It is defined on an adequate parameter. Thus procedure only needs an expected value...
On prior distributions which give rise to a dominated Bayesian experiment.
On probability of first order formulas in a given model
On the amount of information resulting from empirical and theoretical knowledge.
We present a mathematical model allowing formally define the concepts of empirical and theoretical knowledge. The model consists of a finite set P of predicates and a probability space (Ω, S, P) over a finite set Ω called ontology which consists of objects ω for which the predicates π ∈ P are either valid (π(ω) = 1) or not valid (π(ω) = 0). Since this is a first step in this area, our approach is as simple as possible, but still nontrivial, as it is demonstrated by examples. More realistic approach...
On the continuity of invariant statistics
The aim of this paper is to establish theorems on the absolute continuity of translation as well as scale invariant statistics in general, from which the related results by Hodges-Lehmann and Puri-Sen follow. The continuity relations between the joint cdf of a random vector and its marginal cdf's are also considered.
On the equivalence of invariance and almost-invariance from a Bayesian point of view.
On the foundations of statistics and decision theory.
An elementary axiomatic foundation for decision theory is presented at a general enough level to cover standard applications of Bayesian methods. The intuitive meaning of both axioms and results is stressed. It is argued that statistical inference is a particular decision problem to which the axiomatic argument fully applies.
On the frequentist and Bayesian approaches to hypothesis testing.
Hypothesis testing is a model selection problem for which the solution proposed by the two main statistical streams of thought, frequentists and Bayesians, substantially differ. One may think that this fact might be due to the prior chosen in the Bayesian analysis and that a convenient prior selection may reconcile both approaches. However, the Bayesian robustness viewpoint has shown that, in general, this is not so and hence a profound disagreement between both approaches exists. In this paper...