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<font face="wf_segoe-ui_normal,Segoe UI,Segoe WP,Tahoma,Arial,sans-serif,serif,EmojiFont" size="2" color="#212121"><span style="font-size: 15px;"><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">Dear
Colleagues</span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">,</span></font><font size="3"><br>
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</font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">The </span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">next </span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">International </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Bayes </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Club </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">(</span></span></font><a href="https://www.math.vu.nl/thebayesclub/" target="_blank" rel="noopener noreferrer" id="LPlnk987560" previewremoved="true"><font face="Arial,Helvetica,sans-serif,serif,EmojiFont" size="3"><span id="LPlnk987560"><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">https://www.math.vu.nl/thebayesclub/</span></font></span></font></a><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">) </span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">meeting </span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">will
take place on the </span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><b><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">9th</span></b></span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><b><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"> of </span></b></span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><b><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">April</span></b></span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><b><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"> (</span></b></span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><b><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Friday</span></b></span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><b><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">)</span></b></span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;"> from </span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;">2</span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;"> pm
(CET)</span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">. We have two </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">speakers:
Zacharie Naulet</span></span></font><font size="3" color="#212121" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"> </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">(Universite'
Paris-Sud) </span></span></font><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif; color: rgb(0, 0, 0);">and Emanuele Dolera</span></font><span style="font-family: Helvetica, Arial, sans-serif;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;"> (Pavia</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">)</span></span><font size="3" color="#212121" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">.
</span><font color="#212121" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont; font-size: 16px; color: rgb(33, 33, 33);"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">P</span></font><font style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont; font-size: 16px; color: rgb(33, 33, 33);"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">lease
find below the titles and the abstracts</span></font><font style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont; font-size: 16px; color: rgb(33, 33, 33);"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">. </span></font><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">After </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">the
talks we will open up our </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"> virtual </span></span></font><font size="3" color="#212121" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">meeting
place at gather.town so if you want to hang out and perhaps have a beer virtually with your colleagues then </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">you </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">are
invited to join. </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">T</span></span></font></span></font><span style="font-size: 11pt; color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif;">he seminar will be on
zoom:</span></div>
<div><font face="wf_segoe-ui_normal,Segoe UI,Segoe WP,Tahoma,Arial,sans-serif,serif,EmojiFont" size="2" color="#212121"><span style="font-size: 15px;"><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><br>
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<div><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Topic: International Bayes club</span></div>
<div><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Time: Apr 9, 2021 02:00 PM Amsterdam</span></div>
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<div><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Join Zoom Meeting</span></div>
<div><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">https://vu-live.zoom.us/j/93630288944?pwd=QnRMSUwwaFA1anYzWWZqdUN5WDZ5dz09</span></div>
<div><br>
</div>
<div><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Meeting ID: 936 3028 8944</span></div>
<div><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Passcode: 049612</span></div>
<span style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">----------------------------</span><span style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">----------------------------</span><span style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">----------------------------</span><br>
</span></font></span></font></div>
<div><font face="wf_segoe-ui_normal,Segoe UI,Segoe WP,Tahoma,Arial,sans-serif,serif,EmojiFont" size="2" color="#212121"><span style="font-size: 15px;"><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Link
to the meeting place at gather town:</span></span></font></span></font></div>
<div><font face="wf_segoe-ui_normal,Segoe UI,Segoe WP,Tahoma,Arial,sans-serif,serif,EmojiFont" size="2" color="#212121"><span style="font-size: 15px;"><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"><br>
</span></span></font></span></font></div>
<div><font face="wf_segoe-ui_normal,Segoe UI,Segoe WP,Tahoma,Arial,sans-serif,serif,EmojiFont" size="2" color="#212121"><span style="font-size: 15px;"><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">
<div style="color: rgb(33, 33, 33); font-family: Helvetica, serif, EmojiFont; font-size: 20px;">
<a href="https://gather.town/app/4lK8Zj28Ys0WtutP/IBC" rel="noopener noreferrer" id="LPlnk32836" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://gather.town/app/4lK8Zj28Ys0WtutP/IBC&source=gmail&ust=1617026077580000&usg=AFQjCNHy2MN-jTG2ytTbch5YiouG1xrmcw" style="color: rgb(17, 85, 204);" previewremoved="true"><span style="font-size: 12pt;">https://gather.town/app/<wbr>4lK8Zj28Ys0WtutP/IBC</span></a></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, serif, EmojiFont; font-size: 20px;">
<span style="font-size: 12pt;">Password: bayesbayesbayes</span></div>
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</span></span></font></span></font></div>
<div><font face="wf_segoe-ui_normal,Segoe UI,Segoe WP,Tahoma,Arial,sans-serif,serif,EmojiFont" size="2" color="#212121"><span style="font-size: 15px;"><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"><span style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">----------------------------</span><span style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">----------------------------</span><span style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">----------------------------</span><br>
</span></span></font></span></font></div>
<div><font face="wf_segoe-ui_normal,Segoe UI,Segoe WP,Tahoma,Arial,sans-serif,serif,EmojiFont" size="2" color="#212121"><span style="font-size: 15px;"><font size="3" style="font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"><br>
</span></span></font></span></font></div>
<div><font size="3" style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">2 </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">pm
Speaker: </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Zacharie Naulet</span></span></font><font size="3" color="#212121" style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;"> </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">(Universite'
Paris-Sud) </span></span></font><br>
</div>
<div><font size="3" color="#212121" style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 12pt;"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><br>
</span></span></font></div>
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<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Title: Minimax and Bayesian estimation of the unseen under tail-index regularity</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Joint work with Stefano Favaro.</span></div>
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<br>
</div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">In this talk, I will discuss the famous problem of estimating the number of</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">unseen species in a population. This problem has a long history in statistics,</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">but has recently received a lot of attention after the breakthrough of Orlitsky</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">et al. who established impressive information-theoretical limits of</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">predictability of the unseen. For a suitable notion of loss, they proved that</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">minimax estimation of the unseen over all population distributions from a sample</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">of size $n$ is possible if and only if the population size is at most $o(n</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">\log(n))$. Their result is interesting in many ways, but perhaps deceptive for</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">statisticians, as the estimator they provide works only for large sample sizes.</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">This leaves open the problem of what can be done if we are willing to assume</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">regularity on the population distribution. On the Bayesian side, the literature</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">has largely investigated random partition models, giving many ways of estimating</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">the unseen. Most famous models, such as Poisson-Kingman partitions or Pitman-Yor</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">processes, generate populations that possess the property of having a finite</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">"tail-index" which entirely determine the asymptotic behaviour of the number of</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">species. Inspired by this long line of works, we do a minimax analysis of the</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">unseen problem over classes of population distributions having a finite</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">tail-index $\alpha \in (0,1)$. Albeit our analysis is mostly frequentist, the upper</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">bound is derived by constructing an estimator using BNP arguments and can be</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">easily extended to the classical Pitman-Yor estimates. Importantly, our</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">estimator can be efficiently computed, which I will support with some</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">simulations. The main challenge is on deriving the minimax lower bound. For this</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">matter, we propose a generic machinery for obtaining minimax lower bounds in</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">partition models which is of interest by itself as it can be used for many other</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">quantities. Interestingly, this machinery also relies on BNP arguments. In the</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">end, our main result is that estimating the tail-index and the unseen are</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">equivalent problems, and under suitable second-order assumptions on the</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">tail-index, minimax estimation of the unseen is possible all the way up to</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">population sizes that are as large as $o(\exp(c n^{\alpha})$ and impossible for larger</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">populations, in contrast with the $o(n \log(n))$ limit under no regularity</span></div>
<div style="color: rgb(33, 33, 33); font-family: Helvetica, Arial, serif, EmojiFont; font-size: 13px;">
<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">assumption.</span></div>
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<p><span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;"><br>
</span></p>
<p><span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">3 </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">pm
Speaker: </span><font size="3" style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif, serif, EmojiFont;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif; color: rgb(0, 0, 0);">Emanuele Dolera</span></font><span style="color: rgb(33, 33, 33); font-size: 15px; font-family: Helvetica, Arial, sans-serif;"><span style="font-size: 11pt; font-family: Calibri, Helvetica, sans-serif;"> (Pavia</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">)</span></span></span></p>
<p><span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;"><br>
</span></p>
<p><span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;"><span style="color: rgb(33, 33, 33); font-family: wf_segoe-ui_normal, "Segoe UI", "Segoe WP", Tahoma, Arial, sans-serif, serif, EmojiFont; font-size: 15px;"><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Title: </span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">A
new approach to Posterior Contraction Rates via Wasserstein dynamics</span></span><br>
</span></p>
<p><span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;"><span style="color: rgb(33, 33, 33); font-family: wf_segoe-ui_normal, "Segoe UI", "Segoe WP", Tahoma, Arial, sans-serif, serif, EmojiFont; font-size: 15px;"><br>
</span></span></p>
<p><span style="font-family: Calibri, Helvetica, sans-serif, Helvetica, EmojiFont, "Apple Color Emoji", "Segoe UI Emoji", NotoColorEmoji, "Segoe UI Symbol", "Android Emoji", EmojiSymbols; font-size: 16px;"><span style="color: rgb(33, 33, 33); font-family: Calibri, Helvetica, sans-serif; font-size: 11pt;">Abstract:
please find it attached.</span></span></p>
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