Listar GI-MODES - Artigos por título
Mostrando ítems 85-104 de 141
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Nonparametric covariate hypothesis tests for the cure rate in mixture cure models
(John Wiley & Sons, 2020-06)[Abstract]: In lifetime data, like cancer studies, there may be long term survivors, which lead to heavy censoring at the end of the follow-up period. Since a standard survival model is not appropriate to handle these data, ... -
Nonparametric estimation for a functional-circular regression model
(Springer, 2024)[Abstract]: Changes on temperature patterns, on a local scale, are perceived by individuals as the most direct indicators of global warming and climate change. As a specific example, for an Atlantic climate location, spring ... -
Nonparametric Estimation in Mixture Cure Models with Covariates
(Springer Nature, 2023-05-17)[Abstract] Nonparametric estimation methods for the cure rate and the distribution of the failure time of uncured subjects with covariates for censored survival data have attracted much attention in the last few years. To ... -
Nonparametric estimation of circular trend surfaces with application to wave directions
(2021)In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the data measurements. An important issue in ocean wave analysis is the study of height and direction ... -
Nonparametric estimation of the probability of default with double smoothing
(Institut d'Estadistica de Catalunya, 2021)[Abstract]: In this paper, a general nonparametric estimator of the probability of default is proposed and studied. It is derived from an estimator of the conditional survival function for censored data obtained with a ... -
Nonparametric forecasting in time series: a comparative study
(Taylor & Francis, 2007)The problem of predicting a future value of a time series is considered in this paper. If the series follows a stationary Markov process, this can be done by nonparametric estimation of the autoregression function. Two ... -
Nonparametric geostatistical risk mapping
(2018)In this work, a fully nonparametric geostatistical approach to estimate threshold exceeding probabilities is proposed. To estimate the large-scale variability (spatial trend) of the process, the nonparametric local linear ... -
Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models
(Elsevier, 2017-01)[Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. A nonparametric estimator of the incidence is extensively studied and a nonparametric estimator of the latency is presented. ... -
Nonparametric Kernel Estimation of the Probability of Cure in a Mixture Cure Model when the Cure Status is Partially Observed
(Sage, 2022-08-01)[Abstract] Cure models are a class of time-to-event models where a proportion of individuals will never experience the event of interest. The lifetimes of these so-called cured individuals are always censored. It is usually ... -
Nonparametric latency estimation for mixture cure models
(Springer Nature, 2017-06)[Abstract]: A nonparametric latency estimator for mixture cure models is studied in this paper. An i.i.d. representation is obtained, the asymptotic mean squared error of the latency estimator is found, and its asymptotic ... -
Nonparametric multiple regression estimation for circular response
(2021)Nonparametric estimators of a regression function with circular response and -valued predictor are considered in this work. Local polynomial estimators are proposed and studied. Expressions for the asymptotic conditional ... -
npcure: An R Package for Nonparametric Inference in Mixture Cure Models
(Technische Universitaet Wien, 2021)[Abstract] Mixture cure models have been widely used to analyze survival data with a cure fraction. They assume that a subgroup of the individuals under study will never experience the event (cured subjects). So, the goal ... -
Nuevo paradigma de big data en la era de la industria 4.0
(Colegio Oficial de Terapeutas Ocupaciones de Galicia, 2018-05-31)[Resumen]:Entre los cambios de paradigma que está suponiendo la llamada cuarta revolución industrial, también llamada Industria 4.0, se encuentra que los ciudadanos tenemos que convivir en un mundo cada vez más controlado ... -
Of Fears and Budgets: Strategies of Control in Vespa velutina Invasion and Lessons for Best Management Practices
(Springer, 2022)[Abstrat] Implementing management practices for the control of invasive species can be a complex task with multiple dimensions, where the identification of stakeholders and drivers of those practices is of paramount ... -
On benefits of cooperation under strategic power
(Springer, 2020-05)[Abstract]: We introduce a new model involving TU-games and exogenous structures. Specifically, we consider that each player in a population can choose an element in a strategy set and that, for every possible strategy ... -
On egalitarian values for cooperative games with a priori unions
(Springer & Spanish Society of Statistics and Operations Research, 2020)[Abstract]: In this paper, we extend the equal division and the equal surplus division values for transferable utility cooperative games to the more general setup of transferable utility cooperative games with a priori ... -
On egalitarian values for cooperative games with level structures
(Springer Science and Business Media Deutschland GmbH, 2023)[Abstract]: In this paper we extend the equal division and the equal surplus division values for transferable utility cooperative games to the more general setup of transferable utility cooperative games with level structures. ... -
On the Reliability of Machine Learning Models for Survival Analysis When Cure Is a Possibility
(MDPI, 2023-10-02)[Abstract]: In classical survival analysis, it is assumed that all the individuals will experience the event of interest. However, if there is a proportion of subjects who will never experience the event, then a standard ... -
On the uniform strong consistency of local polynomial regression under dependence conditions
(Taylor & Francis, 2003)[Abstract] In this paper, nonparametric estimators of the regression function, and its derivatives, obtained by means of weighted local polynomial fitting are studied. Consider the fixed regression model where the error ... -
On the Use of Functional Additive Models for Electricity Demand and Price Prediction
(Institute of Electrical and Electronics Engineers Inc., 2018-02-12)[Abstract]: This paper presents an application of functional additive models in the context of electricity demand and price prediction. Data from the Spanish electricity market are used to obtain the pointwise predictions. ...
