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alpha-stable-processes

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compops / gpo-smc-abc

Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods

particle-filter gaussian-processes bayesian-optimization stochastic-volatility-models portfolio-analysis approximate-bayesian-computation approximate-inference gaussian-process-optimisation alpha-stable-processes

Updated Nov 29, 2017
Python

anmolaggarwal98 / Deep_learning-SGN

Deep_Learning: Stochastic Gradient Noise heavy tail distribution Analysis

deep-learning mnist sgd stochastic alpha learning-rate gaussian-distribution levy gradient-noise alpha-stable-processes heavy-tailed stoch sgn

Updated Sep 7, 2020
Python

natsnyder1 / CauchyFriendly

multivariate cauchy estimator - a new and robust bayesian state estimation algorithm

cpp matlab python3 kalman-filtering unscented-kalman-filter bayesian-statistics kalman-filter stochastic-processes cauchy extended-kalman-filters kalman-tracking alpha-stable-processes extended-kalman-filter kalman-estimator robust-estimation heavy-tailed-distributions

Updated Sep 26, 2024
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