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05/18/2023
Statistical Foundations of Prior-Data Fitted Networks
Prior-data fitted networks (PFNs) were recently proposed as a new paradi...
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02/17/2023
Approximate Bayes Optimal Pseudo-Label Selection
Semi-supervised learning by self-training heavily relies on pseudo-label...
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10/24/2022
Modeling Stochastic Data Using Copulas For Application in Validation of Autonomous Driving
Verification and validation of fully automated vehicles is linked to an ...
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06/20/2022
Statistical Dependence Analyses of Operational Flight Data Used for Landing Reconstruction Enhancement
The RTS smoother is widely used for state estimation and it is utilized ...
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02/12/2021
Explaining predictive models using Shapley values and non-parametric vine copulas
The original development of Shapley values for prediction explanation re...
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12/16/2020
Copula-based synthetic data generation for machine learning emulators in weather and climate: application to a simple radiation model
Can we improve machine learning (ML) emulators with synthetic data? The ...
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08/13/2020
Stationary vine copula models for multivariate time series
Multivariate time series exhibit two types of dependence: across variabl...
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11/06/2018
Vine copula based post-processing of ensemble forecasts for temperature
Today weather forecasting is conducted using numerical weather predictio...
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11/01/2018
R friendly multi-threading in C++
Calling multi-threaded C++ code from R has its perils. Since the R inter...
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10/29/2018
A Statistical Simulation Method for Joint Time Series of Non-stationary Hourly Wave Parameters
Statistically simulated time series of wave parameters are required for ...
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01/31/2018
Solving estimating equations with copulas
Thanks to their aptitude to capture complex dependence structures, copul...
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01/29/2018