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Guided sequential ABC schemes for simulation-based inference

guided-sequential-abc-schemes-for-simulationbased-inference

Umberto Picchini

Bayesian inference for mixed-effects models driven by SDEs and other stochast...

bayesian-inference-for-stoch-memsbayesian-inference-for-mixedeffects-models-driven-by-sdes-and-other-stochastic-models-a-scalable-approach

Bayesian inference for mixed-effects models driven by SDEs and other stochastic models: a scalable approach

Stratified Monte Carlo and bootstrapping for approximate Bayesian computation

stratified-monte-carlo-and-bootstrapping-for-approximate-bayesian-computation

Stratified sampling and resampling for approximate Bayesian computation

stratified-sampling-and-resampling-for-approximate-bayesian-computation

A likelihood-free version of the stochastic approximation EM algorithm (SAEM)...

a-likelihoodfree-version-of-the-stochastic-approximation-em-algorithm-saem-for-parameter-estimation-in-complex-models

A likelihood-free version of the stochastic approximation EM algorithm (SAEM) for parameter estimation in complex models

Inference via Bayesian Synthetic Likelihoods for a Mixed-Effects SDE Model of...

inference-via-bayesian-synthetic-likelihoods-for-a-mixedeffects-sde-model-of-tumor-growth

Inference via Bayesian Synthetic Likelihoods for a Mixed-Effects SDE Model of Tumor Growth

My data are incomplete and noisy: Information-reduction statistical methods f...

my-data-are-incomplete-and-noisy-informationreduction-statistical-methods-for-knowledge-extraction-can-save-your-day-tools-and-opportunities-for-modelling

My data are incomplete and noisy: Information-reduction statistical methods for knowledge extraction can save your day: tools and opportunities for modelling

Inference for stochastic differential equations via approximate Bayesian comp...

inference-for-stochastic-differential-equations-via-approximate-bayesian-computation

Inference for stochastic differential equations via approximate Bayesian computation

ABC with data cloning for MLE in state space models

abc-with-data-cloning-for-mle-in-state-space-models

Accelerated approximate Bayesian computation with applications to protein fol...

accelerated-approximate-bayesian-computation-with-applications-to-protein-folding-data

Accelerated approximate Bayesian computation with applications to protein folding data

Intro to Approximate Bayesian Computation (ABC)

intro-to-approximate-bayesian-computation-abc

Interested in statistical inference and computational statistics for stochastic processes and stochastic modelling.