# Tag Archives: Monte Carlo

## Monte Carlo sampling for likelihood approximation in state space models

In a previous post I have set the problem of estimating parameters for a state-space model (SSM). That post is a required read, also because I set some notation. My final goal is to show how to construct exact Bayesian … Continue reading

## State space models and intractable likelihoods

In this first series of posts, I introduce important tools to construct inference methods for the estimation of parameters in stochastic models. Stochastic models are characterized by randomness in their mathematical nature, and since at first I focus on models … Continue reading

## Welcome!

Welcome to my first blog post! You can read about me in the About section. I will write about statistical inference methods and algorithms, typically (though not exclusively) for models that have some dynamic component. Posts will reflect personal research … Continue reading