Listar GI-MODES - Artigos por título
Mostrando ítems 21-40 de 122
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Bandwidth selection for statistical matching and prediction
(Springer, 2022)[Abstract]: While there exist many bandwidth selectors for estimation, bandwidth selection for statistical matching and prediction has hardly been studied so far. We introduce a computationally attractive selector for ... -
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 ... -
Bayesian estimation of ruin probabilities with heterogeneous and heavy-tailed insurance claim size distribution
(2007-08-09)This paper describes a Bayesian approach to make inference for risk reserve processes with unknown claim size distribution. A flexible model based on mixtures of Erlang distributions is proposed to approximate the special ... -
Bayesian estimation of the Gaussian mixture GARCH model
(Elsevier, 2007)Bayesian inference and prediction for a generalized autoregressive conditional heteroskedastic (GARCH) model where the innovations are assumed to follow a mixture of two Gaussian distributions is performed. The mixture ... -
Bayesian prediction of the transient behaviour and busy period in short and long-tailed GI/G/1 queueing systems
(Elsevier, 2007)Bayesian inference for the transient behavior and duration of a busy period in a single server queueing system with general, unknown distributions for the interarrival and service times is investigated. Both the interarrival ... -
Big-But-Biased Data Analytics for Air Quality
(MDPI AG, 2020-09-22)[Abstract] Air pollution is one of the big concerns for smart cities. The problem of applying big data analytics to sampling bias in the context of urban air quality is studied in this paper. A nonparametric estimator ... -
Bootstrap Bandwidth Selection and Confidence Regions for Double Smoothed Default Probability Estimation
(MDPI, 2022)[Abstract] For a fixed time, t, and a horizon time, b, the probability of default (PD) measures the probability that an obligor, that has paid his/her credit until time t, runs into arrears not later that time t+b. This ... -
Bootstrap tests for nonparametric comparison of regression curves with dependent errors
(Springer, 2007)In this paper, the problem of testing the equality of regression curves with dependent data is studied. Several methods based on nonparametric estimators of the regression function are described. In this setting, the ... -
Burned area prediction with semiparametric models
(CSIRO Publishing, 2016-04-27)[Abstract] Wildfires are one of the main causes of forest destruction, especially in Galicia (north-west Spain), where the area burned by forest fires in spring and summer is quite high. This work uses two semiparametric ... -
Characterizing the Invasive Tumor Front of Aggressive Uterine Adenocarcinoma and Leiomyosarcoma
(Frontiers, 2021)[Abstract] The invasive tumor front (the tumor–host interface) is vitally important in malignant cell progression and metastasis. Tumor cell interactions with resident and infiltrating host cells and with the surrounding ... -
Comments on: Nonparametric estimation in mixture cure models with covariates
(Springer Science and Business Media Deutschland GmbH, 2023)[Abstract]: This paper discusses the invited paper by López-Cheda, Peng and Jácome on nonparametric mixture cure models with covariates. An alternative estimation procedure is proposed in this context. The situation when ... -
Comparing conditional survival functions with missing population marks in a competing risks model
(Elsevier, 2016-11-25)[Abstract] In studies involving nonparametric testing of the equality of two or more survival distributions, the survival curves can exhibit a wide variety of behaviors such as proportional hazards, early/late differences, ... -
Computational advances in polynomial optimization: RAPOSa, a freely available global solver
(Springer Netherlands, 2022-09)[Abstract]: In this paper we introduce RAPOSa, a global optimization solver specifically designed for (continuous) polynomial programming problems with box-constrained variables. Written entirely in C++, RAPOSa is based ... -
Considerations on the programmed functional life (one generation) of a green artificial reef in terms of the sustainability of the modified ecosystem
(Elsevier. Cell Press, 2023-04)[Abstract] The installation of artificial reefs serves to enhance marine ecosystems, although it also modifies them. These changes do not have to be irreversible, since it is possible to treat the functional life of an ... -
Constructing a Control Chart Using Functional Data
(MDPI AG, 2020-01-02)[Abstract] This study proposes a control chart based on functional data to detect anomalies and estimate the normal output of industrial processes and services such as those related to the energy efficiency domain. Companies ... -
Cooperation on capacitated inventory situations with fixed holding costs
(Elsevier, 2015-03-16)[Abstract] In this paper we analyze a situation in which several firms deal with inventory problems concerning the same type of product. We consider that each firm uses its limited capacity warehouse for storing purposes ... -
Cost-sensitive thresholding over a two-dimensional decision region for fraud detection
(Elsevier B.V., 2024-02)[Absctract]: Credit fraud poses a challenging task in terms of detection. It can result in significant losses depending on the amount, so a cost-sensitive perspective needs to be taken. Classical approaches focus on ... -
Cure models to estimate time until hospitalization due to COVID-19
(Springer Nature, 2022-01)[Abstract]: A short introduction to survival analysis and censored data is included in this paper. A thorough literature review in the field of cure models has been done. An overview on the most important and recent ... -
Distributed classification based on distances between probability distributions in feature space
(Elsevier, 2019-09)[Abstract]: We consider a distributed framework where training and test samples drawn from the same distribution are available, with the training instances spread across disjoint nodes. In this setting, a novel learning ...
