YoungStatS
The blog of Young Statisticians Europe (YSE)
webinars
Theory and Methods for Inference in Multi-armed Bandit Problems
2022-04-19
Theory and Methods for Inference in Multi-armed Bandit Problems Multi-armed bandit (MAB) algorithms have been argued for decades as useful to conduct adaptively-randomized experiments. By skewing the allocation of the arms towards the more efficient or informative ones, they have the potential to…
webinars
Selection of Priors in Bayesian Structural Equation Modeling
2022-02-14
Selection of Priors in Bayesian Structural Equation Modelling Structural equation modeling (SEM) is an important framework within the social sciences that encompasses a wide variety of statistical models. Traditionally, estimation of SEMs has relied on maximum likelihood. Unfortunately, there also…
webinars
Recent Advances in Approximate Bayesian Inference
2022-02-08
Recent Advances in Approximate Bayesian Inference In approximate Bayesian computation, likelihood function is intractable and needs to be itself estimated using forward simulations of the statistical model (Beaumont et al., 2002; Marin et al., 2012; Sisson et al., 2019; Martin et al., 2020). Recent…
webinars
Recent Advancements in Applied Instrumental Variable Methods
2022-02-07
Recent Advancements in Applied Instrumental Variable Methods Instrumental variables (IV) is one of most important and widespread research designs in economics and statistics, as it can identify causal effects in the presence of unobserved confounding. Over the past 30 years the science of IV has…
webinars
Inclusion Process and Sticky Brownian Motions
2021-12-24
Inclusion Process and Sticky Brownian Motions The ninth “One World webinar” organized by YoungStatS will take place on February 9th, 2022. Inclusion process (IP) is a stochastic lattice gas where particles perform random walks subjected to mutual attraction. For the inclusion process in the…
webinars
Novel Algebraic Approaches to Maximum Likelihood Estimation
2021-10-04
Novel Algebraic Approaches to Maximum Likelihood Estimation The seventh “One World webinar” organized by YoungStatS will take place on November 17th, 2021. Maximum likelihood estimation (MLE) is a tool in data analysis to estimate a probability distribution or density in a statistical model for…
««
«
1
2
3
»
»»