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Computationally Efficient Bootstrap Expressions for Bandwidth Selection in Nonparametric Curve Estimation
(M D P I AG, 2018-09-17)
[Abstract] Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric ...
Asymptotic properties of Local Polynomial regression with missing data and correlated errors
(2007)
The main objective of this work is the nonparametric estimation of
the regression function with correlated errors when observations are
missing in the response variable. Two nonparametric estimators of
the regression ...
Sparse Semi-Functional Partial Linear Single-Index Regression
(M D P I AG, 2018-09-17)
[Abstract] The variable selection problem is studied in the sparse semi-functional partial linear model, with single-index type influence of the functional covariate in the response. The penalized least squares procedure ...
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 ...
The bootstrap for testing the equality of two multivariate time series with an application to financial markets
(Elsevier, 2022)
[Abstract]: The problem of testing the equality of the generating processes of two multivariate time series is addressed in this work. To this aim, we construct four tests based on a distance measure between stochastic ...
Prediction of forest fires occurrences with area-level Poisson mixed models
(Academic Press, 2015-05-01)
[Abstract] The number of fires in forest areas of Galicia (north-west of Spain) during the summer period is quite high. Local authorities are interested in analyzing the factors that explain this phenomenon. Poisson ...
Hard and soft clustering of categorical time series based on two novel distances with an application to biological sequences
(Elsevier, 2023)
[Abstract]: Two novel distances between categorical time series are introduced. Both of them measure discrepancies between extracted features describing the underlying serial dependence patterns. One distance is based on ...
Bayesian control of the number of servers in a GI/M/c queueing system
(Elsevier, 2007)
In this paper we consider the problem of designing a GI/M/c queueing system. Given arrival and service data, our objective
is to choose the optimal number of servers so as to minimize an expected cost function which depends ...
Bayesian estimation for the M/G/1 queue using a phase-type approximation
(Elsevier, 2004)
This article deals with Bayesian inference and prediction for M/G/1 queueing systems. The
general service time density is approximated with a class of Erlang mixtures which are phase-type
distributions. Given this phase-type ...
Queues in Reliability
(Wiley, 2007)
Queueing models can be useful in solving many complex reliability problems. Component
failures are usually interpreted as the arrival of customers and the repair or
replacement of failed components is typically associated ...