1 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2011★ 1 cited
On parametric families for sampling binary data with specified mean and correlation
Christian Schäfer
We discuss a class of binary parametric families with conditional probabilities taking the form of generalized linear models and show that this approach allows to model high-dimens…
stat.CO2011
Particle algorithms for optimization on binary spaces
Christian Schäfer
We discuss a unified approach to stochastic optimization of pseudo-Boolean objective functions based on particle methods, including the cross-entropy method and simulated annealing…
math.ST2010★ 1 cited
Parametric families on large binary spaces
Christian Schäfer
In the context of adaptive Monte Carlo algorithms, we cannot directly generate independent samples from the distribution of interest but use a proxy which we need to be close to th…