Listar GI-MODES - Artigos por título
Mostrando ítems 60-79 de 122
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Kernel distribution estimation for grouped data
(Institut d'Estadística de Catalunya, 2019)[Abstract]: Interval-grouped data appear when the observations are not obtained in continuous time, but monitored in periodical time instants. In this framework, a nonparametric kernel distribution esti- mator is proposed ... -
Local Correlation Integral Approach for Anomaly Detection Using Functional Data
(MDPI, 2023-02-06)[Abstract]: The present work develops a methodology for the detection of outliers in functional data, taking into account both their shape and magnitude. Specifically, the multivariate method of anomaly detection called ... -
Local polynomial regression estimation with correlated errors
(Taylor & Francis, 2001)In this paper, we study the nonparametric estimation of the regression function and its derivatives using weighted local polynomial fitting. Consider the fixed regression model and suppose that the random observation ... -
Local polynomial regression smoothers with AR-error structure
(Springer, 2002)Consider the fixed regression model with random observation error that follows an AR(1) correlation structure. In this paper, we study the nonparametric estimation of the regression function and its derivatives using a ... -
Machine learning for multivariate time series with the R package mlmts
(Elsevier B.V., 2023-06)[Abstract]: Time series data are ubiquitous nowadays. Whereas most of the literature on the topic deals with univariate time series, multivariate time series have typically received much less attention. However, the ... -
Modeling the Number of People Infected With SARS-COV-2 From Wastewater Viral Load in Northwest Spain
(Elsevier, 2022)[Abstract] The quantification of the SARS-CoV-2 RNA load in wastewater has emerged as a useful tool to monitor COVID–19 outbreaks in the community. This approach was implemented in the metropolitan area of A Coruña (NW ... -
Modelling Operative and Routine Learning Curves in Manoeuvres in Locks and in Transit in the Expanded Panama Canal
(Cambridge University Press, 2021-05)[Abstract] Piloting in the Panama Canal is exceptional as, due to its importance, the functions of the captains of vessels are taken over by pilots. Hence, prior to inauguration of the expanded canal, a limited number of ... -
Molecular basis of Gender Dysphoria: androgen and estrogen receptor interaction
(Elsevier, 2018-08-27)[Abstract] Background: Polymorphisms in sex steroid receptors have been associated with transsexualism. However, published replication studies have yielded inconsistent findings, possibly because of a limited sample size ... -
Necessary players and values
(Springer, 2022)[Abstract]: In this paper we introduce the Γ value, a new value for cooperative games with transferable utility. We also provide an axiomatic characterization of the Γ value based on a property concerning the so-called ... -
New Problems for Old Vineyards: Mitigating the Impacts of Yellow-Legged Hornets (Vespa velutina) in a Historical Wine-Producing Area
(Elsevier, 2024-03-14)[Abstract] Traditional small-sized vineyards are especially sensitive to different impacts, including the arrival of new pests. The adults of the yellow-legged hornet (Vespa velutina), an invasive alien species present in ... -
New results on egalitarian values for games with a priori unions
(Taylor and Francis, 2023)[Abstract]: Several extensions of the equal division value and the equal surplus division value to the family of games with a priori unions have been proposed by Alonso-Meijide et al. [On egalitarian values for cooperative ... -
Nonparametric estimation of the conditional variance function with correlated errors
(Taylor & Francis, 2006) -
Nonparametric Conditional Risk Mapping Under Heteroscedasticity
(Springer Nature, 2024-03)[Absctract]: A nonparametric procedure to estimate the conditional probability that a nonstationary geostatistical process exceeds a certain threshold value is proposed. The method consists of a bootstrap algorithm that ... -
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 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. ...
