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
- 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
- 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] (SoftwareX (2025) 29, (S2352711024003467), (10.1016/j.softx.2024.101976)) = Corrección de errores de "pyLAIS: Un paquete de Python para el muestreo de importancia adaptativo en capas" [SoftwareX 29 (2025), 101976]
- Economic activity and CO2 emissions in Spain
- 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
- 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
- Semi-functional partial linear regression with measurement error: An approach based on kNN estimation.
- 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
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