JiscMail Logo
Email discussion lists for the UK Education and Research communities

Help for ALLSTAT Archives


ALLSTAT Archives

ALLSTAT Archives


allstat@JISCMAIL.AC.UK


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Monospaced Font

LISTSERV Archives

LISTSERV Archives

ALLSTAT Home

ALLSTAT Home

ALLSTAT  1999

ALLSTAT 1999

Options

Subscribe or Unsubscribe

Subscribe or Unsubscribe

Log In

Log In

Get Password

Get Password

Subject:

SEMINAR:Joint University of London Statistics Seminar

From:

Lawrence Pettit <[log in to unmask]>

Reply-To:

Lawrence Pettit <[log in to unmask]>

Date:

Thu, 13 May 1999 11:15:58 +0100 (BST)

Content-Type:

TEXT/PLAIN

Parts/Attachments:

Parts/Attachments

TEXT/PLAIN (65 lines)

The following seminars will take place at Goldsmiths College on Friday
21st May.

2.00 pm Martin Newby (City University)
        Analysis of degradation models.

3.30 pm Paul Blackwell (University of Sheffield)
        Bayesian inference for random tessellation models.

The seminars will take place in room 137 in the main college building.
The college is a short walk from New Cross and New Cross Gate Rail
and Underground Stations.


Abstracts:

Analysis of degradation models
 
The work is prompted by the need for a probabilistic analysis of fatigue
crack growth in engineering design, and by the need to devise monitoring
schemes for fatigue failure in structures.

A standard model for fatigue crack growth, The Paris-Erdogan Model, has
a stochastic process counterpart which can be transformed to a Brownian
motion representation of the process. The transformation is the Box-Cox
power transformation.

The analysis exploits the well known observation that the likelihood for
a Wiener process is equivalent to that for a linear model which together
with the Box-Cox transformation allows a Bayesian analysis of several
sets of fatigue crack growth data.


Bayesian inference for random tessellation models

Random tessellations constitute an important class of models in many areas
of application, including ecology, geography and, on a much smaller
physical scale, the structure of materials. Given such a tessellation, an
inhomogeneous Poisson process can be defined, in which the intensity at a
point depends only on its location relative to the tessellation.

I will describe an approach that enables fully Bayesian inference for both
the realisation of the tessellation process and the parameters of the
derived point process, using a random walk Markov chain Monte Carlo
algorithm.

I will illustrate the method with an application in ecology, in which the
tiles of the tessellation represent a set of territories of badger (Meles
meles) clans, and the point process models the occurrence of latrines,
which mark boundaries.



Lawrence Pettit
Dept of Mathematical and Computing Sciences
Goldsmiths College

e-mail: [log in to unmask]
tel: 0171 919 7863




%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Top of Message | Previous Page | Permalink

JiscMail Tools


RSS Feeds and Sharing


Advanced Options


Archives

November 2019
October 2019
September 2019
August 2019
July 2019
June 2019
May 2019
April 2019
March 2019
February 2019
January 2019
December 2018
November 2018
October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
February 2015
January 2015
December 2014
November 2014
October 2014
September 2014
August 2014
July 2014
June 2014
May 2014
April 2014
March 2014
February 2014
January 2014
December 2013
November 2013
October 2013
September 2013
August 2013
July 2013
June 2013
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
September 2012
August 2012
July 2012
June 2012
May 2012
April 2012
March 2012
February 2012
January 2012
December 2011
November 2011
October 2011
September 2011
August 2011
July 2011
June 2011
May 2011
April 2011
March 2011
February 2011
January 2011
December 2010
November 2010
October 2010
September 2010
August 2010
July 2010
June 2010
May 2010
April 2010
March 2010
February 2010
January 2010
December 2009
November 2009
October 2009
September 2009
August 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008
November 2008
October 2008
September 2008
August 2008
July 2008
June 2008
May 2008
April 2008
March 2008
February 2008
January 2008
December 2007
November 2007
October 2007
September 2007
August 2007
July 2007
June 2007
May 2007
April 2007
March 2007
February 2007
January 2007
2006
2005
2004
2003
2002
2001
2000
1999
1998


JiscMail is a Jisc service.

View our service policies at https://www.jiscmail.ac.uk/policyandsecurity/ and Jisc's privacy policy at https://www.jisc.ac.uk/website/privacy-notice

Secured by F-Secure Anti-Virus CataList Email List Search Powered by the LISTSERV Email List Manager