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SORT 309 records found  previous11 - 20nextend  jump to record: Search took 0.01 seconds. 
11.
36 p, 1.2 MB Data wrangling, computational burden, automation, robustness and accuracy in ecological inference forecasting of R×C tables / Pavía, Jose M. (Universitat de València) ; Romero, Rafael (Universitat Politècnica de València)
This paper assesses the two current major alternatives for ecological inference, based on a multinomial-Dirichlet Bayesian model and on mathematical programming. Their performance is evaluated in a database made up of almost 2000 real datasets for which the actual cross-distributions are known. [...]
2023 - 10.57645/20.8080.02.4
SORT : statistics and operations research transactions, Vol. 47 Núm. 1 (2023) , p. 151-186  
12.
18 p, 1.0 MB Inference on the symmetry point-based optimal cut-off point and associated sensitivity and specificity with application to SARS-CoV-2 antibody data / Franco-Pereira, Alba María (Complutense University of Madrid) ; Pardo Llorente, M. Carmen (Complutense University of Madrid) ; Nakas, Christos T. (University of Thessaly (Grècia). University of Bern (Suïssa)) ; Reiser, Benjamin (University of Haifa)
In the presence of a continuous response test/biomarker, it is often necessary to identify a cut-off point value to aid binary classification between diseased and non-diseased subjects. The symmetry-point approach which maximizes simultaneously both types of correct classification is one way to determine an optimal cut-off point. [...]
2023 - 10.57645/20.8080.02.5
SORT : statistics and operations research transactions, Vol. 47 Núm. 1 (2023) , p. 187-204  
13.
28 p, 783.0 KB Missing data analysis and imputation via latent Gaussian Markov random fields / Gómez-Rubio, Virgilio (Universidad de Castilla-La Mancha) ; Cameletti, Michela (University of Bergamo) ; Blangiardo, Marta (Imperial College London)
This paper recasts the problem of missing values in the covariates of a regression model as a latent Gaussian Markov random field (GMRF) model in a fully Bayesian framework. The proposed approach is based on the definition of the covariate imputation sub-model as a latent effect with a GMRF structure. [...]
2022 - 10.2436/20.8080.02.124
SORT : statistics and operations research transactions, Vol. 46 Núm. 2 (2022) , p. 217-244 (Articles)  
14.
28 p, 2.0 MB Compositional combination and selection of forecasters / Martín Arroyo, Antonio (Universidad Autónoma de Madrid) ; de Juan Fernández, Aránzazu (Universidad Autónoma de Madrid)
The Split-Then-Combine approach has previously been used to generate the weights of forecasts in a combination in the Euclidean space. This paper extends this approach to combine forecasts inside the simplex space, the sample space of positive weights adding up to one. [...]
2022 - 10.2436/20.8080.02.123
SORT : statistics and operations research transactions, Vol. 46 Núm. 2 (2022) , p. 189-216 (Articles)  
15.
18 p, 618.7 KB Alternate-wrapped circular distributions / Joshi, Savitri (Indian Institute of Information Technology Allahabad (Índia)) ; Rattihalli, R. N.
To generate a circular distribution, we use the alternate-wrapping technique (unlike the usual wrapping), by wrapping in the alternate directions, after each single-wrapping. The resulting distribution is called alternate-wrapped distribution. [...]
2022 - 10.2436/20.8080.02.125
SORT : statistics and operations research transactions, Vol. 46 Núm. 2 (2022) , p. 245-262 (Articles)  
16.
28 p, 875.4 KB Granger causality and time series regression for modelling the migratory dynamics of influenza into Brazil / Foerster Grande, Aline (Universidade Federal do Rio Grande do Sul (Brasil)) ; Pumi, Guilherme (Universidade Federal do Rio Grande do Sul (Brasil)) ; Cybis, Gabriela Bettella (Universidade Federal do Rio Grande do Sul (Brasil))
In this work we study the problem of modelling and forecasting the dynamics of the influenza virus in Brazil at a given month, from data on reported cases and genetic diversity collected from previous months, in other locations. [...]
2022 - 10.2436/20.8080.02.122
SORT : statistics and operations research transactions, Vol. 46 Núm. 2 (2022) , p. 161-188 (Articles)  
17.
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 - 10.2436/20.8080.02.121
SORT : statistics and operations research transactions, Vol. 46 Núm. 1 (2022) , p. 137-158 (Articles)  
18.
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 - 10.2436/20.8080.02.120
SORT : statistics and operations research transactions, Vol. 46 Núm. 1 (2022) , p. 115-136 (Articles)  
19.
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 - 10.2436/20.8080.02.117
SORT : statistics and operations research transactions, Vol. 46 Núm. 1 (2022) , p. 39-66 (Articles)  
20.
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 - 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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