Control for confounding is crucial in causal observational studies. However, the modelling of continuous confounders has not received much attention. This is probably because in causal research the ...

symbol v=dot c=salmon; goptions ftext=swiss; axis1 minor=none color=black label=(angle=90 rotate=0); title 'Box Plot for Power Output'; proc boxplot data=turbine ...

The benchmark tests show that the noise-free realization of QA can significantly outperform state-of-the-art classical algorithms. Quantum annealing (QA) is a cutting-edge algorithm that leverages the ...

A Bayes procedure for classifying an observation consisting of one dichotomous variable (X) and a continuous vector Y is applied to a model assuming that the conditional distribution of Y given X is ...

This paper develops a method to efficiently estimate hidden Markov models with continuous latent variables using maximum likelihood estimation. To evaluate the (marginal) likelihood function, I ...