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22 p, 1.8 MB

Topological Data Analysis and its usefulness for precision medicine studies / Iniesta, Raquel (King's College London. Institute of Psychiatry, Psychology & Neuroscience) ; Carr, Ewan (King's College London. Institute of Psychiatry, Psychology & Neuroscience) ; Carrière, Mathieu (Inria Sophia-Antipolis, DataShape Team, Biot, France) ; Yerolemou, Naya (The University of Oxford and The Alan Turing Institute) ; Michel, Bertrand (Ecole Centrale de Nantes, Laboratoire de Mathématiques Jean Leray - Unité mixte de recherche Centre National de la Recherche Scientifique) ; Chazal, Frédéric (Inria Saclay - Ile-de-France)
Precision medicine allows the extraction of information from complex datasets to facilitate clinical decision-making at the individual level. Topological Data Analysis (TDA) offers promising tools that complement current analytical methods in precision medicine studies. [...]
2022 - DOI (Digital Object Identifier)

10.2436/20.8080.02.120
SORT : statistics and operations research transactions, Vol. 46 Núm. 1 (2022) , p. 115-136 (Articles)

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22 p, 372.7 KB

Estimation of cut-off points under complex-sampling design data / Iparragirre, Amaia (Universidad del País Vasco) ; Barrio Beraza, Irantzu (Universidad del País Vasco. Basque Center for Applied Mathematics) ; Aramendi, Jorge (Eustat - Euskal Estatistika Erakundea - Instituto Vasco de Estadística) ; Arostegui, Inmaculada (Universidad del País Vasco. Basque Center for Applied Mathematics)
In the context of logistic regression models, a cut-off point is usually selected to dichotomize the estimated predicted probabilities based on the model. The techniques proposed to estimate optimal cut-off points in the literature, are commonly developed to be applied in simple random samples and their applicability to complex sampling designs could be limited. [...]
2022 - DOI (Digital Object Identifier)

10.2436/20.8080.02.121
SORT : statistics and operations research transactions, Vol. 46 Núm. 1 (2022) , p. 137-158 (Articles)

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36 p, 869.9 KB

Fifty years later : new directions in Hawkes processes / Worrall, John (School of Mathematical Sciences, Queensland University of Technology. QUT Centre for Data Science (Austràlia)) ; Browning, Raiha (School of Mathematical Sciences, Queensland University of Technology. QUT Centre for Data Science (Austràlia)) ; Wu, Paul (School of Mathematical Sciences, Queensland University of Technology. QUT Centre for Data Science (Austràlia)) ; Mengersen, Kerrie (School of Mathematical Sciences, Queensland University of Technology. QUT Centre for Data Science (Austràlia))
The Hawkes process is a self-exciting Poisson point process, characterised by a conditional intensity function. Since its introduction fifty years ago, it has been the subject of numerous research directions and continues to inspire new methodological and theoretical developments as well as new applications. [...]
2022 - DOI (Digital Object Identifier)

10.2436/20.8080.02.116
SORT : statistics and operations research transactions, Vol. 46 Núm. 1 (2022) , p. 3-38 (Invited article)

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28 p, 1.2 MB

Unusual-event processes for count data / Skulpakdee, Wanrudee (Graduate School of Applied Statistics, National Institute of Development Administration (Tailàndia)) ; Hunkrajok, Mongkol (Independent Researcher (Tailàndia))
At least one unusual event appears in some count datasets. It will lead to a more concentrated (or dispersed) distribution than the Poisson, gamma, Weibull, Conway-Maxwell-Poisson (CMP), and Faddy (1997) models can accommodate. [...]
2022 - DOI (Digital Object Identifier)

10.2436/20.8080.02.117
SORT : statistics and operations research transactions, Vol. 46 Núm. 1 (2022) , p. 39-66 (Articles)

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28 p, 938.7 KB

Estimation of finite population distribution function with auxiliary information in a complex survey sampling / Abbas, Mohsin (Quaid-i-Azam University (Pakistan)) ; Haq, Abdul (Quaid-i-Azam University (Pakistan))
In this paper, we consider the problem of estimating the finite population cumulative distribution function (CDF) in a complex survey sampling, which includes two-stage and three-stage cluster sampling schemes with and without stratification. [...]
2022 - DOI (Digital Object Identifier)

10.2436/20.8080.02.118
SORT : statistics and operations research transactions, Vol. 46 Núm. 1 (2022) , p. 67-94 (Articles)

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20 p, 590.1 KB

Penalized spline smoothing using Kaplan-Meier weights in semiparametric censored regression models / Orbe, Jesus (University of the Basque Country UPV/EHU) ; Virto, Jorge (University of the Basque Country UPV/EHU)
In this article we consider an extension of the penalized splines approach in the context of censored semiparametric modelling using Kaplan-Meier weights to take into account the effect of censorship. [...]
2022 - DOI (Digital Object Identifier)

10.2436/20.8080.02.119
SORT : statistics and operations research transactions, Vol. 46 Núm. 1 (2022) , p. 95-114 (Articles)

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