Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Zig-zag sampling for discrete structures and non-reversible phylogenetic
  MCMC   We construct a zig-zag process targeting a posterior distribution defined on
a hybrid state space consisting of both discrete and continuous variables. The
construction does not require any assumptions on the structure among discrete
variables. We demonstrate our method on two examples in genetics based on the
Kingman coalescent, showing that the zig-zag process can lead to efficiency
gains of up to several orders of magnitude over classical Metropolis-Hastings
algorithms, and that it is well suited to parallel computation. Our
construction resembles existing techniques for Hamiltonian Monte Carlo on a
hybrid state space, which suffers from implementationally and analytically
complex boundary crossings when applied to the coalescent. We demonstrate that
the continuous-time zig-zag process avoids these complications.

4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
9
The categories of this paper are: nlin
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
1
The categories of this paper are: cs