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A number of regularization methods for discrete inverse problems consist in considering weighted versions of the usual least square solution. However, these so-called filter methods are generally res...
In applications throughout science and engineering one is often faced with the challenge of solving an ill-posed inverse problem, where the number of available measurements is smaller than the dimensi...
The multiple disorder problem seeks to determine a sequence of stopping times which are as close as possible to the unknown times of disorders at which the observation process changes its probability ...
We study the Bayesian problem of detecting a change in the drift rate of an observable diffusion process with certain non-additive detection delay penalty criterions. We express the Bayesian risk func...
This is a companion note to Zinde-Walsh (2010), arXiv:1009.4217v1[MATH.ST], to clarify and extend results on identification in a number of problems that lead to a system of convolution equations. Exam...
The correspondence between the cross-entropymethod and the zero-variance approximation to simulate a rare event problem in Markov chains is shown. This leads to a sufficient condition that the cross...
When testing a large number of independent hypotheses, three different questions are of interest: are some hypotheses true alternatives? How many of them? Which of them? These questions give rise to...
The Three Doors Problem, or Monty Hall Problem, is familiar to statisticians as a paradox in elementary probability theory often found in elementary probability texts (especially in their exercises ...
Upon reading the paper Efficient Likelihood Estimation in State Space Models by Cheng-Der Fuh I found a number of problems in the formulations and a number of mathematical errors. Together, these fi...
This paper considers estimation of the predictive density for a normal linear model with unknown variance under -divergence loss for −1   1. We first give a general canonical form for the...
We study estimation of a multivariate function f :Rd !R when the observations are available from the function Af, where A is a known linear operator. Both the Gaussian white noise model and densit...
We consider the signal detection problem for mildly, severely and extremely ill-posed inverse problems with Sobolev, analytic and generalized analytic classes of functions under the Gaussian white n...
This article shows and analyzes the results of a data collecting survey in Brazilian food industry companies, on management practices and problems in the product development process (PDP). The general...
The above-mentioned courses were designed and organized by ILO “Safe work” and held in Turin. The objective was to develop the participants’ capacity in integrating psychosocial issues, such as stress...
Recent illicit activity among professionals, politicians, and specifically among members of the business community has made scholars skeptical of the viability of traditional consequential and deontol...

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