This chapter presents an introduction to Markovian modeling for the anal...
Pricing decisions of companies require an understanding of the causal ef...
dynamite is an R package for Bayesian inference of intensive panel (time...
Graphs are commonly used to represent and visualize causal relations. Fo...
We present a Bayesian spatio-temporal error correction model and use it ...
We present an R package bssm for Bayesian non-linear/non-Gaussian state ...
The R package walker extends standard Bayesian general linear models to ...
We consider the problem of estimating causal effects of interventions fr...
Common reporting styles of statistical results, such as confidence inter...
Approximate inference in probabilistic graphical models (PGMs) can be gr...