Outputs for STATISTICS Department (Year 2024)
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Articles
- A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance
- A mathematical optimization approach to shape-constrained generalized additive models
- A stereographic test of spherical uniformity
- A systematic review on the application of machine learning models in psychometric questionnaires for the diagnosis of attention deficit hyperactivity disorder
- Actuation manifold from snapshots data
- Analysis of macroeconomic determinants of non-performance in consumer and mortgage loans
- Assessment of ADHD subtypes using motion tracking recognition based on Stroop Color-Word Tests
- Associations of bioelectrical impedance and anthropometric variables among populations and within the full spectrum of malnutrition
- Climate Change Contributions to Increasing Compound Flooding Risk in New York City
- Clustering and forecasting of day-ahead electricity supply curves using a market-based distance
- Designing interactive, gamified learning environments: a methodological approach with a case study on statistical quality control
- Diagnostic trajectories of mental disorders in children and adolescents: a cohort study
- Energy forecast for a cogeneration system using dynamic factor models
- Expecting the unexpected: Stressed scenarios for economic growth
- Food drugs as drivers of therapeutic knowledge and the role of chemosensory qualities
- Group Classification for the Search and Identification of Related Patterns Using a Variety of Multivariate Techniques
- Integrated nested Laplace approximations for threshold stochastic volatility models
- Investigating the Impact of Consumption Distribution on CRRA Estimation: Quantile-CCAPM-Based Approach
- Length-of-stay times in hospital for COVID-19 patients using the smoothed Beran's estimator with bootstrap bandwidth selection
- Machine-learned flow estimation with sparse data--Exemplified for the rooftop of an unmanned aerial vehicle vertiport
- Non-Myopic Beam Scheduling for Multiple Smart-Target Tracking in Phased Array Radar Networks
- Nonparametric estimation for a functional-circular regression model
- Optimal day-ahead offering strategy for large producers based on market price response learning
- Performance and explainability of feature selection-boosted tree-based classifiers for COVID-19 detection
- Prediction of intraday electricity supply curves
- Probability of default estimation in credit risk using mixture cure models
- Profile of men and women sentenced to community services: risk factors and social vulnerability
- Pspatreg: R Package for Semiparametric Spatial Autoregressive Models
- Second-Moment/Order Approximations by Kernel Smoothers with Application to Volatility Estimation
- Self-tuning model predictive control for wake flows
- Structured factor copulas for modeling the systemic risk of European and United States banks
- Testing for linearity in scalar¿on¿function regression with responses missing at random
- The Cooperative Maximal Covering Location Problem with ordered partial attractions
- The factor structure of exchange rates volatility: global and intermittent factors
- The robustification of distance-based linear models: some proposals
- Transfer learning in multiple hypothesis testing
- Vulnerable Funding in the Global Economy
Books
- Book of Abstracts. VI International Workshop on Proximity Data, Multivariate Analysis and Classification
- La interceptación de las comunicaciones ordinarias en el centro penitenciario. Un estudio de campo sobre la eficacia de las garantías en el ámbito del Juzgado Central de Vigilancia Penitenciaria
Book Chapters
- Predicción de la volatilidad: una comparación entre métodos paramétricos y semiparamétricos. In: Predicción y decisiones Económicas con Big Data
- Stochastic scheduling. In: Encyclopedia of Optimization
Conference Contributions
Projects
- ASTRAL- Algoritmos para Optimización Estocástica Utilizando Análisis Basados en Datos y Aprendizaje
- Análisis de la Escalabilidad de las Comunicaciones Cuánticas en Procesadores NISQ mediante Aprendizaje Automático Cuántico (Machine Learning
- Asesoramiento metodológico e implementación de modelos de Ciencia de Datos en el ámbito del proyecto denominado Sistema de predicción autónomo de gestión operativa y comercial para el sector de la distribución
- Ayuda para la adquisición de la herramienta: Suscripción servicio anual Premium Plus Plan (Academic) licencia software Wolfram Mathematica
- Contrato Menor 2024/SER00821. Metodología para la evaluación de riesgos del sector industrial y adaptación al cambio climático en el ámbito estuarino
- Contrato entre la asociacion coordinadora latinoamericana y del caribe y UC3M-Marco referencial para la evaluación de proyectos de reducción de emisiones de gases de efectos invernadero integrados al ciclo operativo de las actividades productivas en finca-
- Gymkana La Ciencia de los Datos
- Intervalos de predicción en autorregresión cuantil: teoría y aplicaciones
- LearnINg FLow and Noise Dynamics in TUrbulENt JeTs via ArtIfIciAl Intelligence (INFLUENTIA-CM-UC3M)
- Metodología para la evaluación de riesgos del sector industrial y adaptación al cambio climático en el ámbito estuarino
- Modelos Aditivos con Restricciones para la Optimización Global
- Modelos de Optimización y Técnicas de Descomposición para la Operación de Vehículos Eléctricos en Sistemas de Transporte y Distribución de Energía Eléctrica bajo Incertidumbre
- NUEVOS PROCESOS DEEP LEARNING PARA EL ANÁLISIS DEL MERCADO DE ALIMENTACIÓN A PARTIR DE TEXTOS ESPONTÁNEOS
- Problemas de restless bandits Markovianos: avanzando el estado del arte
- Riesgos geopolíticos, conectividad y volatilidad en los mercados financieros: Impacto y estimación
- STENED - Stein-based goodness-of-fit TEsts for Non-Euclidean Data
Supervised Theses
- Constrained smooth regression models: a mathematical optimization approach
- Dimensionality reduction techniques for longitudinal data. Applications to health and wellbeing.
- Functional Techniques via Multivariate Methodologies
- Hybrid and Bayesian modelling of passenger occupancy at Beijing metro
- Interpretability of neural networks via polynomial representations.
- New Problems in Efficiency Modeling.
Working Papers
- A Bayesian semi-parametric approach to stochastic frontier models with inefficiency heterogeneity
- A Quantile Neural Network Framework for Two-stage Stochastic Optimization
- A stochastic volatility model for volatility asymmetry and propagation
- Clustering and forecasting of day-ahead electricity supply curves using a market-based distance
- Extreme temperatures and the profitability of large European firms
- Fitting complex stochastic volatility models using Laplace approximation
- International vulnerability of inflation
- On the relationship of country geopolitical risk on energy inflation
- Predictive day-ahead offering for renewable generators in uncertain spot and balancing markets