The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
Even for a well-trained statistician the construction of a histogram
for a given real-valued data set is a difficult problem. It is even
more difficult to construct a fully automatic procedure which
specifies the number and widths of the bins in a satisfactory manner
for a wide range of data sets. In this paper we compare several
histogram construction procedures by means of a simulation
study. The study includes plug-in methods, cross-validation,
penalized maximum
likelihood and the taut string...
The paper briefly reviews recent advances in the methodology of feature selection (FS) and the conceptual base of a consulting system for solving FS problems. The reasons for designing a kind of expert or consulting system which would guide a less experienced user are outlined. The paper also attempts to provide a guideline which approach to choose with respect to the extent of a priori knowledge of the problem. The methods discussed here form the core of the software package being developed for...
In this paper we start from the following situation: a decision maker wants information about a certain parameter space for which he has a set of random variables with probability distribution depending on an unknown paremeter belonging to the mentioned space. Generally, we assume that the decision maker may observe values of any experiment but not of two simultaneous ones. This reason makes a comparison between them indispensable to choose the most appropriate for his objectives.Through the article...
This paper is devoted to the study of some asymptotic properties of a -estimator in a framework of detection of abrupt changes in random field’s distribution. This class of problems includes e.g. recovery of sets. It involves various techniques, including -estimation method, concentration inequalities, maximal inequalities for dependent random variables and -mixing. Penalization of the criterion function when the size of the true model is unknown is performed. All the results apply under mild,...
This paper is devoted to the study of some asymptotic properties of a
M-estimator in a framework of detection of abrupt changes in
random field's distribution. This class of problems includes e.g.
recovery of sets. It involves various
techniques, including M-estimation method, concentration
inequalities, maximal inequalities for dependent random variables and
ϕ-mixing. Penalization of the criterion function when the size of the
true model is
unknown is performed. All the results apply under...
The motivation for this paper arises out of the authors experiences in modelling real decision makers where the decisions show not only a continuous response to a continuously changing environment but also sudden or discontinuous changes. The theoretical basis involves a parametric characterisation of the environment, a decision makers perception of it in terms of a twice differentiable Distribution Function and a bounded Loss Function. Under a specified minimizing dynamic, the resultant Expected...
The problem to be analyzed in this paper deals with the finding of n values x1, x2, ..., xn ∈ R which minimize the function:E [míni=1,...,n c (ξ - xi)]where ξ is a one-dimensional random variable with known distribution function φ and c is a measurable and positive function.First, conditions on c in order to ensure the existence of a solution to this problem are determined. Next, necessary conditions to be satisfied by the point (x1, x2, ..., xn) in which the function attains the minimum are looked...
En este trabajo se propone y estudia una medida para la incertidumbre correspondiente a las utilidades, o inquietud. Este concepto recibe por vez primera un tratamiento matemático. En la etapa inicial del trabajo se consideran conjuntos constituidos por resultados elementales, y en una segunda etapa se consideran conjuntos constituidos por pares de resultados.
Currently displaying 1 –
20 of
63