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<p>Dear all,</p>
<p>On Thursday (29 November) at 2pm in <span class="event-where">54
/ 7035 (7B), we have an S3RI seminar from </span><span
class="event-where"><span class="event-description">Eliane
Rodrigues</span> (UNAM, Mexico) on </span><span
class="event-where"><span class="event-description">"</span></span><span
class="event-where"><span class="event-description"><span
class="event-description"><span class="event-description"></span></span></span></span><span
class="event-where"><span class="event-description"><span
class="event-description">An analysis of the rate of ozone
exceedances in Mexico City using a spatio-temporal
non-homogeneous Poisson model with change-points</span>".
Details are given below.<br>
</span></span></p>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description">The talk will be followed by tea
and cake in the staff reading room on level 4 of building
54. </span></span></span></span></p>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description">All are welcome!</span></span></span></span></p>
<p><span class="event-where"><span class="event-description"><span>Best
wishes,</span></span></span></p>
<p><span class="event-where"><span class="event-description"><span>Helen</span></span></span></p>
<p><span class="event-description">An analysis of the rate of ozone
exceedances in Mexico City using a spatio-temporal
non-homogeneous Poisson model with change-points <br>
</span></p>
<p><span class="event-description">Eliane Rodrigues, Universidad
Nacional Autónoma de México<br>
</span></p>
<p><span class="event-description">
We consider a non-homogeneous Poisson model to analyse the rate
of ozone exceedances. Besides depending on time the rate
function of this Poisson model will also depend on some
parameters. We also allow the presence of change-points in the
model. An anisotropic spatial component is imposed on the vector
of the parameters of the Poisson rate function as well as on the
vector of change-points. The parameters of the rate function and
of the spatial model as well as the location of the
change-points will be estimated using the Bayesian point of view
via a Metropolis-Hast<wbr>ings algorithm within the Gibbs
sampling. The model is applied to ozone data obtained from ten
stations which are part of the monitoring network of Mexico
City, Mexico. <br>
</span></p>
<p><span class="event-description">This is a joint work with Geoff
Nicholls, Mario H. Tarumoto, Dani Gamerman, and Guadalupe
Tzintzun.</span></p>
<br>
<span class="event-where"><span class="event-description"><span><span
class="event-description"><span> <span
class="event-description"> </span><span
class="event-description"><span
class="event-description">For the current schedule of
S3RI seminars, see <a class="moz-txt-link-freetext"
href="https://tinyurl.com/s3riseminar">https://tinyurl.com/s3riseminar</a>
</span></span></span></span></span></span></span><br>
<p><span class="event-where"><span class="event-description"><span><span
class="event-description"></span></span></span></span></p>
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