Buscar
Itens para a visualização no momento 1-10 of 13
Bayesian and classical inference for the generalized gamma distribution and related models
(Universidade Federal de São Carlos, 2018-02-22)
The generalized gamma (GG) distribution is an important model that has proven to be
very flexible in practice for modeling data from several areas. This model has important sub-models, such as the Weibull, gamma, lognormal, ...
Abordagem de martingais para análise assintótica do passeio aleatório do elefante
(Universidade Federal de São Carlos, 2018-08-20)
In this work we study the elephant random walk introduced in (SCHUTZ; TRIMPER, 2004),
a discrete time, non-Markovian stochastic process with unlimited range memory that presents
phase transition. Our objective is to proof ...
Estudo do impacto da escolha do modelo para o controle de overdose na fase I dos ensaios clínicos
(Universidade Federal de São Carlos, 2018-10-03)
Escalation with overdose control proportional hazards is a Bayesian method with overdose control that estimates the maximum tolerated dose (MTD) assuming that the time a patient takes to show toxicity follows the proportional ...
Detecting influential observations in spatial models using Bregman divergence
(Universidade Federal de São Carlos, 2018-02-26)
How to evaluate if a spatial model is well ajusted to a problem? How to know if it is the best model between the class of conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models, including homoscedasticity ...
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 ...
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 ...
Some extensions in measurement error models
(Universidade Federal de São Carlos, 2018-12-14)
In this dissertation, we approach three different contributions in measurement error model
(MEM). Initially, we carry out maximum penalized likelihood inference in MEM’s under the
normality assumption. The methodology ...
A bayesian nonparametric approach for the two-sample problem
(Universidade Federal de São Carlos, 2018-11-19)
In this work, we discuss the so-called two-sample problem (PEARSON; NEYMAN, 1930)
assuming a nonparametric Bayesian approach. Considering X 1 ,...,X n and Y 1 ,...,Y m two inde-
pendent i.i.d samples generated from P 1 ...
Penalized regression methods for compositional data
(Universidade Federal de São Carlos, 2018-12-10)
Compositional data consist of known vectors such as compositions whose components are positive and defined in the interval (0,1) representing proportions or fractions of a "whole", where the sum of these components must ...
Modelagem conjunta de dados longitudinais e de sobrevivência para avaliação de desfechos clínicos do parto
(Universidade Federal de São Carlos, 2018-12-06)
As most pregnancy-related deaths and morbidities are clustered around the time of child birth, the quality of care during this period is crucial for mothers and their babies. To monitor the women at this stage, the partograph ...