The Library

Simulating events of unknown probabilities via reverse time martingales

Tools

Łatuszyński, Krzysztof, Kosmidis, Ioannis, Papaspiliopoulos, Omiros and Roberts, Gareth O. (2009) Simulating events of unknown probabilities via reverse time martingales. Working Paper. Coventry: University of Warwick. Centre for Research in Statistical Methodology. Working papers, Volume 2009 (Number 30).

Preview

PDF
WRAP_Latuszynski_09-30w.pdf - Published Version - Requires a PDF viewer.
Download (416Kb)

Official URL: http://www2.warwick.ac.uk/fac/sci/statistics/crism...

Request Changes to record.

Abstract

Assume that one aims to simulate an event of unknown probability
s ∈ (0, 1) which is uniquely determined, however only its approximations
can be obtained using a finite computational effort. Such settings are often
encountered in statistical simulations. We consider two specific examples.
First, the exact simulation of non-linear diffusions ([3]). Second, the celebrated Bernoulli factory problem ([10], [16], [13], [12], [9], and also [1] and
[8]) of generating an f(p)-coin given a sequence X1,X2, ... of independent
tosses of a p-coin (with known f and unknown p). We describe a general
framework and provide algorithms where this kind of problems can be
fitted and solved. The algorithms are straightforward to implement and
thus allow for effective simulation of desired events of probability s: In the
case of diffusions, we obtain the algorithm of [3] as a specific instance of
the generic framework developed here. In the case of the Bernoulli factory,
our work offers a statistical understanding of the Nacu-Peres algorithm
for f(p) = min{2p; 1 - 2ε} (which is central to the general question, c.f.
[13]) and allows for its immediate implementation that avoids algorithmic
difficulties of the original version. In the general case we link our results
to existence and construction of unbiased estimators. In particular we
show how to construct unbiased estimators given sequences of under- and
overestimating reverse time super- and submartingales.

Item Type:

Working or Discussion Paper (Working Paper)

Subjects:

Q Science > QA Mathematics

Divisions:

Faculty of Science > Statistics

Library of Congress Subject Headings (LCSH):

Martingales (Mathematics), Probabilities

Series Name:

Working papers

Publisher:

University of Warwick. Centre for Research in Statistical Methodology

Place of Publication:

Coventry

Official Date:

2009

Dates:

Date	Event
2009	Published

Volume:

Volume 2009

Number:

Number 30

Number of Pages:

Institution:

University of Warwick

Status:

Not Peer Reviewed

Access rights to Published version:

Open Access

Funder:

Spain

Grant number:

MTM2008-06660 (Spain)

Version or Related Resource:

Published as: Łatuszyński, K., et al. (2011). Simulating events of unknown probabilities via reverse time martingales. Random Structures & Algorithms, 38(4), pp. 441-452. http://wrap.warwick.ac.uk/id/eprint/41524

Related URLs: