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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, ...
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 ...
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 ...
Modelos de difusão de inovação em grafos
(Universidade Federal de São Carlos, 2019-04-12)
Areas such as politics, economics and marketing are heavily influential in terms of information diffusion. For this reason, several branches of science have studied such phenomena in order to simulate and understand them ...
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 ...
Método bagging para aprimoramento de previsões de séries temporais
(Universidade Federal de São Carlos, 2021-10-22)
Different methodologies are proposed and explored aiming to reduce time series forecasting
error. A promising approach consists in combining different forecasts from different models
in order to get a better accuracy, ...
Modelos de sobrevivência bivariados induzidos por fragilidade
(Universidade Federal de São Carlos, 2022-07-18)
Frailty models have been developed to quantify both heterogeneity as well as association in multivariate time-to-event data. The frailty distributions used in many studies include the gamma, inverse Gaussian (IG) or stable ...
Comparação de métodos de estimação para problemas com colinearidade e/ou alta dimensionalidade (p > n)
(Universidade Federal de São Carlos, 2016-04-29)
This paper presents a comparative study of the predictive power of four suitable regression
methods for situations in which data, arranged in the planning matrix, are very
poorly multicolinearity and / or high dimensionality, ...
Modelos não lineares assimétricos com efeitos mistos
(Universidade Federal de São Carlos, 2019-08-02)
This work aims to develop asymmetric nonlinear regression models with mixed-effects, which provide alternatives to the use of normal distribution and other symmetric distributions, in order to avoid the sensitivity in the ...
Neural networks as an optimization tool for regression
(Universidade Federal de São Carlos, 2019-09-02)
Neural networks are a tool to solve prediction problems that have gained much prominence recently. In general, neural networks are used as a predictive method, that is, their are used to estimate a regression function. ...