Outputs for STATISTICS Department (Year 2022)
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Articles
- A Generalized Linear Joint Trained Framework for Semi-Supervised Learning of Sparse Features
- A stochastic order for interval valued random mappings and applications
- Ageing perception as a key predictor of self-rated health by rural older people: a study with gender and inclusive perspectives
- Attention Deficit Hyperactivity Disorder Assessment Based on Patient Behavior Exhibited in a Car Video Game: A Pilot Study
- Clustering electricity consumers: challenges and applications for operating smart grids
- Contract design in electricity markets with high penetration of renewables: a two-stage approach
- Data Depth and Multiple Output Regression, the Distorted M-Quantiles Approach
- Deep neural networks for the quantile estimation of regional renewable energy production
- Depthgram: Visualizing outliers in high-dimensional functional data with application to fMRI data exploration
- Detecting and classifying outliers in big functional data
- Developing Serious Video Games to Treat Attention Deficit Hyperactivity Disorder: Tutorial Guide
- Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks
- Dynamic Mixed Data Analysis and Visualization
- Dynamic factor models: Does the specification matter?
- Editorial on S.I. "Advances in Measuring Health and Wellbeing" in the International Journal of Environmental Research and Public Health
- Fast partial quantile regression
- Modeling latent spatio-temporal disease incidence using penalized composite link models
- Multi-Gear Bandits, Partial Conservation Laws, and Indexability ¿
- On mathematical optimization for clustering categories in contingency tables
- Optimal pricing for electricity retailers based on data-driven consumers' price-response
- Robust adjusted discriminant analysis based on shrinkage with application to geochemical and environmental fields
- Usability of classic and specific bioelectrical impedance vector analysis in measuring body composition of children
- Validation of the Spanish version of the Memory Failures of Everyday questionnaire in older adults using Rasch analysis
- Visualizing health and well-being inequalities among older Europeans
Books
Conference Contributions
- A new general and multivariable approach to categorize predictor variables. Optimal categorization of physical activity in COPD patients
- Bayesian adaptive design for a clinical trial on cardiology
- Biological age imputation by data depth
- Constrained smoothing and out-of-range prediction using P¿splines: an application to COVID-19 evolution
- Modeling COPD hospitalizations using variable domain functional regression
- Modelling multiple seasonalities of NO2 hourly pollution levels
- Older Women Images and Technologies to Increase Gender Peace in Crisis and COVID-19 Times
Projects
- Construcción de un modelo de evaluación de los precios de los coches en España
- Contrato de Asesoramiento entre Macroscope SL y la Universidad Carlos III de Madrid
- Contrato de suministro para el desarrollo de la iniciativa Maspalomas Smart Destination del Ayuntamiento de San Bartolomé de Tirajana y C2 Matriz de cumplimiento de requisitos San Bartolomé de Tirajana.
- Contrato marco para la prestación de servicios de consultoría en el ámbito de la estadística
- Daily Passenger Flow Forecast of Beijing Subway
- Demonstrations of the techniques of small area estimation, including software demonstrations
- Estudio de la relación entre el número de implantes cardiacos y la pandemia COVID
- Estudio sobre el comportamiento biométrico de la población de rentistas con. incapacidad permanente
- Evaluación de las tablas de mortalidad de experiencia propia
- Informe sobre la idoneidad de la metodología aplicada por Agroseguro en la determinación del nivel inicial de la reserva de estabilización
- Métodos de aprendizaje estadístico basados en distancias y profundidades para datos masivos de estructura compleja, con aplicaciones
- On spline surrogate models and reformulation techniques for Mixed Integer Nonlinear. Optimization
Working Papers
- A Neural Network-Based Distributional Constraint Learning Methodology for Mixed-Integer Stochastic Optimization
- An anticipative Markov modulated market
- Before and after default: information and optimal portfolio via anticipating calculus
- Data depth and multiple output regression, the distorted M-quantiles approach
- Data-driven stabilizations of goodness-of-fit tests
- Economic activity and climate change
- Multivariate Functional Outlier Detection using the FastMUOD Indices
- On data-driven chance constraint learning for mixed-integer optimization problems
- Optimal day-ahead offering strategy for large producers based on market price response learning
- Spatial extreme model for rainfall intensity: application to the estimation of IDF curves in the Basque Country