InformationTheoretic Aspects of Universal
Simulation of Random Processes

N. Merhav and M. J. Weinberger,
``On universal simulation of information sources using training data,''
IEEE Trans. Inform. Theory, vol. 50, no. 1, pp. 520, January 2004.

N. Merhav,
``Achievable key rates for universal simulation of
random data with respect to a set of statistical tests,''
IEEE Trans. Inform. Theory, vol. 50, no. 1, pp. 2130, January 2004.

N. Merhav and M. J. Weinberger,
``Addendum to "on universal simulation of information sources
using training data",''
IEEE Trans. Inform. Theory, vol. 51, no. 9, pp. 31813183,
September 2005.

N. Merhav, G. Seroussi, and M. J. Weinberger,
``Universal delaylimited simulation,''
Proc. ISIT 2005, pp. 765769, Adelaide, Australia, September
2005. The full journal version (in IEEE Trans. Inform.
Theory, vol. 54, no. 12, pp. 55255533, December 2008) is
here.

N. Merhav and M. J. Weinberger,
``Universal simulation with fidelity criteria,''
Proc. ISIT 2006, pp. 25212525. The full version (
in IEEE Trans. Inform. Theory, vol. 55, no. 1, pp. 292302, January 2009) is
here.

A. Martin, N. Merhav, G. Seroussi, and M. J. Weinberger,
``Twiceuniversal
simulation of Markov sources and individual sequences,''
Proc. ISIT 2007, pp. 28762880, Nice, France, June 2007.
Full version, appears in IEEE Trans. on Inform. Theory
vol. 56, no. 9, pp. 42454255, Sept. 2010, and can be found
here.