Showing 1–20 of 75 results
/ Date/ Name
Apr 7, 2022Inference over radiative transfer models using variational and expectation maximization methodsMay 2, 2012On the Generalized Ratio of Uniforms as a Combination of Transformed Rejection and Extended Inverse of Density SamplingJul 18, 2019Probabilistic Regressor Chains with Monte Carlo MethodsMay 17, 2020Marginal likelihood computation for model selection and hypothesis testing: an extensive reviewJan 7, 2022Optimality in Noisy Importance SamplingDec 1, 2012Fully Adaptive Gaussian Mixture Metropolis-Hastings AlgorithmDec 13, 2019Active emulation of computer codes with Gaussian processes -- Application to remote sensingDec 7, 2020Physics-Aware Gaussian Processes in Remote SensingJan 27, 2018A Review of Multiple Try MCMC algorithms for Signal ProcessingOct 18, 2020Living in the Physics and Machine Learning Interplay for Earth ObservationJan 9, 2020Importance Gaussian QuadratureNov 9, 2012Efficient Monte Carlo Methods for Multi-Dimensional Learning with Classifier ChainsNov 14, 2017Joint Gaussian Processes for Biophysical Parameter RetrievalJan 3, 2012On the flexibility of the design of Multiple Try Metropolis schemesNov 27, 2025Data-driven informative priors for Bayesian inference with quasi-periodic dataFeb 24, 2026An index of effective number of variables for uncertainty and reliability analysis in model selection problemsDec 17, 2011A multi-point Metropolis scheme with generic weight functionsMay 24, 2012Improved Adaptive Rejection Metropolis Sampling AlgorithmsNov 21, 2011Two adaptive rejection sampling schemes for probability density functions log-convex tailsOct 19, 2022Gradient-based Adaptive Importance Samplers