A5049062536- Bayesian Methods and Mixture Models
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Power System Reliability and Maintenance
- Child and Adolescent Psychosocial and Emotional Development
- Optimal Power Flow Distribution
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Traffic and Road Safety
- Water Quality and Resources Studies
- Energy and Environment Impacts
- Perfectionism, Procrastination, Anxiety Studies
- Urban Transport and Accessibility
- Advanced Statistical Process Monitoring
- Lymphoma Diagnosis and Treatment
- Probabilistic and Robust Engineering Design
- CAR-T cell therapy research
- Economic Theory and Policy
- Statistical Methods and Applications
- Geochemistry and Geologic Mapping
- Mobile Ad Hoc Networks
- Analytic Number Theory Research
- Energy Efficient Wireless Sensor Networks
- Security in Wireless Sensor Networks
- Reliability and Agreement in Measurement
Universidad de Jaén
2011-2023
Virtual High School
2019
Nosocomial infection is one of the main causes morbidity and mortality in patients admitted to hospital. One aim this study determine its intrinsic extrinsic risk factors. also increases duration hospital stay. We quantify, relative terms, increased stay when a patient has infection.We propose use logistic regression models with an asymmetric link estimate probability suffering nosocomial infection. Poisson-Gamma as multivariate technique detect factors that really influence average infected...
Virality on Twitter is catching the attention of researchers, trying to identify factors which increase or decrease probability retweeting. We study how terms expressing sentiments affect retweeting frequencies by means a regression model number retweets, specially accurate deal with virality. focus Spanish political situation during pseudo-referendum held in Catalonia 1 October 2017. have found that use negativity tweet increases and iSOL lexicon one better determines relationship between polarity
Social anxiety disorder (SAD) in adolescents is considerably underdetected and undertreated despite the availability of efficacious treatments. Our main study objective was to examine brief, valid, reliable screening measures for adolescent social anxiety, then conduct diagnostic interviews evaluate measures' ability identify with SAD.We examined 7 brief valid compared their accuracy diagnoses established by a semistructured interview. The sample included 421 Spanish 613 without clinical...
Clustering is presently one of the main routing techniques employed in randomly deployed wireless sensor networks. This paper describes a novel centralized unequal clustering method for The goals algorithm are to prolong network lifetime and increase reliability while not compromising data transmission. In proposed method, Base Station decides on cluster heads according best scores obtained from Type-2 Fuzzy system. input parameters fuzzy system estimated by base station or gathered with...
In recent years the use of regression models for under-dispersed count data, such as COM-Poisson or hyper-Poisson models, has increased. this paper DGLMExtPois package is presented. includes a new procedure to estimate coefficients model within GLM framework. The estimation process uses gradient-based algorithm solve nonlinear constrained optimization problem. also provides an implementation model, proposed by @huang, make it easy compare both models. functionality illustrated fitting real...
Summary The paper describes a distribution generated by the Gaussian hypergeometric function that may be seen as generalization of beta–binomial distribution. It is expressed generalized beta mixture binomial This new mixing allows existence mode and an antimode, which very useful for fitting some data sets. Two examples illustrate greater versatility compared with
The hyper-Poisson distribution can handle both over- and underdispersion, its generalized linear model formulation allows the dispersion of to be observation-specific dependent on covariates. This study's objective is examine potential applicability a newly proposed framework for in analyzing motor vehicle crash count data. was first fitted intersection data from Toronto, characterized by overdispersion, then railway-highway crossings Korea, underdispersion. results this study are promising....
The aim of the project was to identify biological variables in high-clinical-risk patients with diffuse large B-cell lymphoma (DLBCL), treated risk-adapted therapies. study performed a series DLBCL MegaCHOP or + IFE followed by autologous stem-cell transplantation (ASCT). An initial reduced set diagnostic tumoral samples studied gene expression profiling and gene-set-enrichment analysis. A potential biomarkers extracted from this then explored tissue microarrays containing...
Abstract Some methods for estimating parameters in distributions generated by the Gaussian hypergeometric function are developed this article: specifically, based on relations between moments and/or frequencies, estimators obtained minimum chi-square procedure and method of maximum likelihood considered. The asymptotic relative efficiencies with explicit formulae compared. Finally, two real examples given order to illustrate these methods. Keywords: Minimum chi-squareMaximum...
Abstract A Bayesian regression model for the number of goals scored by players in Spanish football league during nine seasons is fitted. The handles overdispersion such a way that individual footballers ability scoring may be estimated regardless minutes played, position field and team which they play. Additionally, posterior predictive distributions fitted allow to obtain an estimation performance any player each season with reference scored, locating as quantile expected distribution this...
Understanding why a random variable is actually has been in the core of Statistics from its beginnings. The generalized Waring regression model for count data explains that inherent variability given by three possible sources: randomness, liability and proneness. extends negative binomial it not included family linear models. In order to avoid shortcoming, we developed GWRM R package fitting, describing validating model. version introduce this communication provides new design modelling...
The distributions generated by the Gaussian hypergeometric function compose a tetraparametric family that includes many of most common discrete in literature. In this article, probability aspects related to whole are reviewed and methods estimation for fitting them real data developed. Several applied examples also provided illustrate procedures compare estimation.