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stat.ME2024
Approximate Bayesian Computation with Deep Learning and Conformal prediction
Meili Baragatti, Casenave Céline, Bertrand Cloez +2
Approximate Bayesian Computation (ABC) methods are commonly used to approximate posterior distributions in models with unknown or computationally intractable likelihoods. Classical…
stat.ME2022
Kalman filter with impulse noised outliers : A robust sequential algorithm to filter data with a large number of outliers
Bertrand Cloez, Bénédicte Fontez, Eliel González García +1
Impulsed noise outliers are data points that differs significantly from other observations.They are generally removed from the data set through local regression or Kalman filter al…