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Now showing items 21-30 of 93
Estimação de funções do redshift de galáxias com base em dados fotométricos
(Universidade Federal de São Carlos, 2017-09-18)
In a substantial amount of astronomy problems, we are interested in estimating values assumed of some unknown quantity z ∈ R, for many function g, based on covariates x ∈ R^d. This is made using a sample (X1,Z1), ... ...
Métodos de categorização de variáveis preditoras em modelos de regressão para variáveis binárias
(Universidade Federal de São Carlos, 2017-06-13)
Regression models for binary response variables are very common in several areas of knowledge.
The most used model in these situations is the logistic regression model, which assumes that the
logit of the probability of ...
Bayesian variable selection for logistic mixture models with Pólya-Gamma data augmentation
(Universidade Federal de São Carlos, 2022-02-15)
In this work, Bayesian methods for estimating and selecting variables in a mixture of logistic regressions model are presented.
In order to simplify its Bayesian estimation, we extend the data augmentation approach ...
Influência local com procura "forward' em modelos de regressão linear
(Universidade Federal de São Carlos, 2015-02-25)
The identification of influential and/or atypical observations in a data set is known as a part of the diagnostic analysis. One of the purposes of the diagnostic analysis is to verify the robustness of a statistical model, ...
Um estudo de estresse através dos níveis de cortisol em crianças
(Universidade Federal de São Carlos, 2017-05-26)
The level of cortisol is considered as a measure of people’s stress. We perform an
statistical analysis of the data from a study conducted to evaluate if children that
work on the streets during the day have higher stress ...
Distribuições k-modificadas da família Série de Potência uniparamétrica
(Universidade Federal de São Carlos, 2017-05-23)
This paper proposes a family of distributions Power Series k-Modified from to model sets of count data which have or not any discrepancy in the frequency of observation k in relation to the distribution associated Power ...
Modelos de sobrevivência para estimação do período de latência do câncer
(Universidade Federal de São Carlos, 2017-06-29)
Cancer is responsible for about 13% of all deaths in the world occuring mainly in people who
are late diagnosed and in advanced stages. Due to its devastating characteristics and the growing
prevalence of the disease, ...
Quantificação em problemas com mudança de domínio
(Universidade Federal de São Carlos, 2018-05-17)
Several machine learning applications use classifiers as a way of quantifying the prevalence of positive class labels in a target dataset, a task named quantification. For instance, a naive way of determining what proportion ...
Modelos preditivos para LGD
(Universidade Federal de São Carlos, 2018-05-04)
Financial institutions willing to use the advanced Internal Ratings Based (IRB) need to develop
methods to estimate the LGD (Loss Given Default) risk component. Proposals for PD (Probability
of default) modeling have ...
Contribuições sobre o envelope simulado na análise de diagnóstico em modelos de regressão
(Universidade Federal de São Carlos, 2019-04-30)
The simulated envelope is a diagnostic analysis method used to evaluate the hypothesis about the probability distribution assumed for the response variable in a regression model. In this work, we describe some procedures ...