Rosangela Helena Loschi

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The multiple change point identification problem may be encountered in many subject areas, including disease mapping, medical diagnosis, industrial control, and finance. One appealing way of tackling the problem is through the product partition model (PPM), a Bayesian approach. Nowadays, practical applications of Bayesian methods have attracted attention(More)
This paper extends previous results for the classical product partition model (PPM) applied to the identification of multiple change points in the means and variances of time series. Prior distributions for these two parameters and for the probability p that a change takes place at a particular period of time are considered and a new scheme based on Gibbs(More)
The well-known product partition model (PPM) is considered for the identiÿcation of multiple change points in the means and variances of normal data sequences. In a natural fashion, the PPM may provide product estimates of these parameters at each instant of time, as well as the posterior distributions of the partitions and the number of change points.(More)
Incipient fault detection Induction machine stator-winding Fuzzy clusters Bayesian analysis Metropolis–Hastings algorithm a b s t r a c t In this paper the incipient fault detection problem in induction machine stator-winding is considered. The problem is solved using a new technique of change point detection in time series, based on a two-step formulation.(More)
The main causes of numerical chromosomal anomalies, including trisomies, arise from an error in the chromosomal segregation during the meiotic process, named a non-disjunction. One of the most used techniques to analyze chromosomal anomalies nowadays is the polymerase chain reaction (PCR), which counts the number of peaks or alleles in a polymorphic(More)
In this paper we analyze the fraction of non-disjunction in Meiosis I assuming reference (non-informative) priors. We consider Jeffreys's approach to built a non-informative prior (Jeffreys's prior) for the fraction of non-disjunction in Meiosis I. We prove that Jeffreys's prior is a proper distribution. We perform Monte Carlo studies in order to compare(More)
Ill-defined causes of death can be related to problems in access to health services or poor quality of medical care and are indicators of data quality in the Mortality Information System (MIS). A sample of municipalities (counties) was selected from the Northeastern Macro-Region of Minas Gerais State, Brazil, with the aim of investigating deaths from(More)
In change point problems in general we should answer three questions: how many changes are there? Where are they? And, what is the distribution of the data within the blocks? In this paper, we develop a new full predictivistic approach for mod-eling observations within the same block of observation and consider the product partition model (PPM) for treating(More)