Outputs for STATISTICS Department (Year 2025)
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Articles
- A Survey of Monte Carlo Methods for Noisy and Costly Densities With Application to Reinforcement Learning and ABC
- A quantile neural network framework for two-stage stochastic optimization
- Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signals
- An experimental analysis of contagion in financial markets
- Automatic Threshold Selection for Generalized Pareto and Pareto-Poisson Distributions in Rainfall Analysis: A Case Study Using the NOAA NCDC Daily Rainfall Database
- Clustering time series by extremal dependence
- Condition monitoring and multi-fault classification of hydraulic systems using multivariate functional data analysis
- Corrigendum to "pyLAIS: A Python package for Layered Adaptive Importance Sampling" [SoftwareX 29 (2025), 101976]
- Economic activity and CO2 emissions in Spain
- Extreme temperatures and the profitability of large European firms
- Feature and functional form selection in additive models via mixed-integer optimization
- Forecasting the yield curve: the role of additional and time-varying decay parameters, conditional heteroscedasticity, and macro-economic factors
- How energy strategies are shaped by the correlation of uncertainties
- Modelling time series with multiple seasonalities: an application to hourly NO2 pollution levels
- Neural lasso: a unifying approach of lasso and neural networks
- Observability Analysis for Structural System Identification Based on Static-State Estimation
- On a modified Watson test for spherical location
- Optimal stopping of Gauss-Markov bridges
- Persistence of ADHD into adulthood and associated factors: A prospective study
- Predicting electricity supply and demand curves with functional data techniques
- Semi-functional partial linear regression with measurement error: An approach based on kNN estimation.
- Step-by-step learning
- The uneven effects of gender parity: Trends in gender homophily in scientific publications, 1980-2019
- Unlocking the potential of battery charging and swapping stations: achieving fully flexible operation via B2X and V2X integration
- Well-being horizons for silver and golden ages: an application of traditional and fuzzy Markov chains
- pyLAIS: A Python package for Layered Adaptive Importance Sampling
Conference Contributions
Projects
- Ayuda adicional del investigador María Cristina Molero del Río dentro del programa Juan de la Cierva 2023
- Desarrollo de modelos y algoritmos para la predicción de caídas de cartera
- Estudio sobre la Vulnerabilidad Social
- Gymkana La Ciencia de los Datos
- Longevidad 360º: Análisis de áreas super longevas para un envejecimiento con propósito en España
Working Papers
- Beyond GARCH: Bayesian Neural Stochastic Volatility
- Convex Risk Control with Exact Probabilities: The CVaR&-Chance-Constraint Approach
- Data-Driven Chance-Constrained Optimization based on Gaussian Mixture Models
- FARS: Factor Augmented Regression Scenarios in R
- Fast k-medoids and q-Fold Fast k-medoids: New distance-based clustering algorithms for large mixed-type data
- Optimal placement of wind farms via quantile constraint learning
- Parameter Inference for Structural System Identification Based on Static State Estimation
- Switching the leverage switch
- Upper-tail sampling correction technique for engineering design.