WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…>
Joint initiative with
MIDAS COMPLEX MODELING RESEARCH NETWORK <http://midas.mat.uc.cl/network>
Venerdi 23 Ottobre 2020, alle ore 12:00, si terrà il seguente webinar:
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Speaker: *Minwoo Chae*(Pohang University of Science and Technology, South
Korea)
Title: *Posterior asymptotics in Wasserstein metrics on the real line*
Zoom link:
https://us02web.zoom.us/j/88252069649?pwd=V2Z3b1UrZVVWNWZ4OXhydUtIakxpUT09
Meeting ID: 882 5206 9649
Passcode: 581405
Abstract: We use the class of Wasserstein metrics to study asymptotic
properties of posterior distributions. The first goal is to provide
sufficient conditions for posterior consistency. In addition to the
well-known Kullback-Leibler condition on the prior, the true distribution
and most probability measures in the support of the prior are required to
possess moments up to an order which is determined by the order of the
Wasserstein metric. We further investigate convergence rates of the
posterior distributions for which we need stronger moment conditions. The
required tail conditions are sharp in the sense that the posterior
distribution may be inconsistent or contract slowly to the true
distribution without these conditions. We apply the results to density
estimation with a Dirichlet process mixture prior.
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Il webinar è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
in collaborazione con il Collegio Carlo Alberto e rientra nel Complex Data
Modeling Research Network
midas.mat.uc.cl/network
Cordiali saluti,
Pierpaolo De Blasi
---
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>
Segnalo il seguente seminario online:
SPEAKER: Larry Wasserman, Carnegie Mellon University
TITOLO: Estimating Background Distributions in Particle Physics<https://economiaefinanza.luiss.it/seminar/2020/09/02/estimating-background-…>
DISCUSSANTS: Pierpaolo Brutti e Hugo Lavenant
DATA: giovedì 22 ottobre, ore 17:00
Per accedere al seminario usare questo link <https://luiss.webex.com/luiss/j.php?MTID=mc7aeaa48fd8e2a105eb34f4522a91c48>
ABSTRACT: To test for new events in particle colliders, one needs a good estimate of the background distribution, that is the null distribution. I'll discuss our work on estimating the background distribution for di-Higgs events. Our methods are based on classifiers and optimal transport.This is joint work with Tudor Manole, Patrick Bryant, Mickael Kuusela and John Alison.
Prossimi seminari presso il Dipartimento di Economia e Finanza della Luiss: https://economiaefinanza.luiss.it/seminari/prossimi-seminari
Marco Perone Pacifico
Full Professor of Statistics
Department of Economics and Finance
LUISS University
Viale Romania 32
00197 Roma, ITALY
La presente e-mail proviene da Luiss Guido Carli e s'intende inviata per scopi lavorativi. Tutte le informazioni ivi contenute, compresi eventuali allegati, sono da ritenersi esclusivamente confidenziali e riservati secondo i termini del vigente D.Lgs. 196/2003 in materia di privacy e del Regolamento europeo 679/2016 - GDPR. È vietato qualsiasi ulteriore utilizzo non autorizzato. Qualora la stessa Le fosse pervenuta per errore, La preghiamo di eliminarla immediatamente e di darcene tempestiva comunicazione. Grazie.
This e-mail message is sent by Luiss Guido Carli for business purposes. All informations contained therein, including any attachments, are for the sole use of the intended recipient and may contain confidential and privileged information pursuant to Legislative Decree 196/2003 and the European General Data Protection Regulation 679/2016 - GDPR -. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by soon reply this e-mail and destroy all copies of the original message. Thanks
Dear colleagues,
I would like to draw your attention to a recently-opened postdoc position at the University of Florence to work with Francesca R. Nardi and me on various metastability and cut-off topics Of course, the precise research directions will depend on the interests of the postdoc. You can find all the relevant details (including a brief summary of the research topics) at the link https://titulus.unifi.it/albo/viewer?view=files%2F003617972-UNFICLE-fbd4028… <https://titulus.unifi.it/albo/viewer?view=files/003617972-UNFICLE-fbd40280-…>, including instructions on how to apply. Please note that the deadline for applying is quite soon on October 23.
Holding a PhD degree (or being close to completion of one) is highly preferred. Previous research experience in the topics above is a plus, but certainly not required.
Please feel free to forward this announcement to anyone who might be interested, and don’t hesitate to contact Francesca and me for further information.
Kind regards,
Gianmarco
----------------------------------------------------------------------
Gianmarco Bet
Junior researcher
https://gianmarco.bet
Phone: (+39) 055 2751491
Department of Mathematics and Informatics "U. Dini"
University of Florence
Viale Morgagni, 65
50134 Firenze, Italy
Office 64
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Dear all,
it is a pleasure to announce the forthcoming PhD course "Fourier-Laplace
transform and Wiener-Hopf factorization in Finance, Economics and Insurance"
given by Prof. Sergei Levendorskii for PhD students in Padova, starting
from next week, online via Zoom.
Here is a tentative program:
-
Lecture 1. Lévy models
-
Lecture 2. Evaluation of probability distributions and pricing European
options in Lévy models
-
Lecture 3. Simplified trapezoid rule, Fast Fourier Transform and its
variations
-
Lecture 4. Conformal acceleration techniques
-
Lecture 5. Barrier options with discrete monitoring and Bermudan
options. Calculations in the state space
-
Lecture 6. Barrier options with discrete monitoring and Bermudan
options. Calculations in the dual space
-
Lecture 7. Wiener-Hopf factorization
-
Lecture 8. Contingent claims with continuous monitoring, boundary value
problems and Wiener-Hopf factorization
-
Lecture 9. Options with continuous monitoring, cont-d
-
Lecture 10. Affine models
-
Lecture 11. American options with infinite time horizon
-
Lecture 12. American options with finite time horizon
and here is the schedule (Italian time):
1) 19th October 16.30-18
2) 21st October 16.30-18
3) 23rd October 16.30-18
4) 26th October 16.30-18
5) 28th October 16.30-18
6) 30th October 16.30-18
If interested and to obtain the link Zoom and attend the lectures, please
send an e-mail to (me!): gcallega(a)math.unipd.it
Thanks and have a nice afternoon,
Giorgia Callegaro
--
Giorgia Callegaro
Associate Professor
Department of Mathematics - University of Padova
Via Trieste 63 , I-35121 Padova - ITALY
Tel: +39-0498271481 Fax: +39-0498271499
E-Mail: gcallega(a)math.unipd.it
<https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#>
Personal web-page: https://sites.google.com/site/giogiocallegaro/Home
Buongiorno a tutti,
segnaliamo (inoltrando il messaggio in calce) due importanti novita'
nel campo della Statistica Algebrica:
- l'introduzione del codice 62R01 per 'Statistica algebrica' nella
2020 MSC classification
- il primo volume (numerato 11 in riconoscimento del passato della
comunita' di Statistica Algebrica) della rivista Algebraic Statistics
https://msp.org/astat/
Cordiali saluti
Fabio Rapallo
Eva Riccomagno
Maria Piera Rogantin
============================
Dear friends,
The year 2020 has been very trying for many members of our community,
but we can't fail to acknowledge two very important milestones for the
field of algebraic statistics: that the 2020 MSC classification now
includes 62R01 for 'algebraic statistics', and that a new journal has
been established!
It is with great pleasure that we announce the availability of the
first issue of “Algebraic Statistics (AStat)”:
—> https://msp.org/astat <—
DOI: 10.2140/astat.2020.11-1
The first volume---numbered 11 to honour the past work of this
community---will consist of two issues with a total of 11 papers, 5 of
which are available online now. The second issue is forthcoming soon.
AStat will be free to read until the end of 2021; thereafter, it will
be available through an MSP or Project Euclid subscription. All
papers become freely available 5 years after publication. Our
publisher, MSP, is a nonprofit corporation based in Berkeley, USA.
We see AStat as a primary forum serving the broad community in a
focused way. As an interdisciplinary endeavor, by definition, a
concerted effort will be made for AStat to serve various constituents
interested in and interacting with algebraic statistics. We invite the
community to send their best work in algebraic statistics to be
considered for publication here. This may include contributions which
connect statistical theory, methodology, or application to the world
of algebra, geometry, and combinatorics in ways that may not be
labeled as traditional.
Do enjoy reading the first issue, and we look forward to welcoming
your contributions to AStat.
On behalf of the entire editorial board,
Sonja and Thomas
Managing Editors of Algebraic Statistics
---
Sent via EditFlow by
Sonja Petrović <sonja.petrovic(a)iit.edu>
============================
--
Fabio Rapallo
Dipartimento di Economia
Universita' di Genova
---------- Forwarded message ----------
Date: Tue, 13 Oct 2020 09:57:12 +0000
From: michele giordano <g.michele(a)outlook.com>
-------------------------
Dear all,
This is an announcement of the: STAR Online Seminars.
The seminar will be held on Friday 16. October from 11:00-12:00. You will
recieve the link for the zoom room by registering for the seminar at the
following link (https://nettskjema.no/a/159180). The lecture will last for
45 minutes + questions.
This week's speaker is Marta Sanz-Sole from University of Barcelona,
with the seminar: Stochastic wave equations with super-linear coefficients.
Abstract: We consider a stochastic wave equation on $R^d , d \in {1, 2, 3}$,
driven by a Gaussian noise in $(t, x)$, white in time. We assume that the
free terms $b$ and $\sigma$ are such that, for $|x| \rightarrow \infty$,
$|\sigma(x)| < \sigma_1 + \sigma_2|x| (\ln_+(|x|))^a , |b(x)| < \theta_1
+ \theta_2|x| (\ln_+(|x|))^{\delta}$ , (1)
where $\theta_2, \sigma_2 > 0, \delta , a > 0$, with $b$ dominating
over $\sigma$. For any fixed time horizon $T > 0$ and with a suitable
constraints on the parameters $a, \delta, \sigma_2$ and $\theta_2$, we prove
existence of a random field solution to the equation and that this solution
is unique, and bounded in time and in space a.s. The research is motivated
by the article [R. Dalang, D. Khoshnevisan, T. Zhang, AoP, 2019] on a
$1-d$ reaction-diffusion equation with coefficients satisfying conditions
similar to (1). We see that the $L^\infty$- method used by these authors can
be successfully implemented in the case of wave equations. This is joint
work with A. Millet (U. Paris 1, Pantheon-Sorbonne).
After the end of the seminar, you are invited to bring a cup of coffee
or tea and have a chat in our ''Coffee in the Stars'' here you will have
the chance to talk and interact with the other persons that attended
the seminar, and have a digital "coffee break".
We are looking forward to see you, online!
Best regards,
Michele Giordano
Doctoral research fellow
Department of Mathematics
University of Oslo, Norway
-------------------------------------------------------------------------
Register for the seminar:
https://nettskjema.no/a/159180
Link for the seminar webpage:
https://www.mn.uio.no/math/english/research/projects/storm/events/seminars/…
Dear colleagues,
I would like to announce the conference "Barcelona Mathematical Days 2020"
which will take place in remote mode on October 23-24, 2020.
- Registration is free but mandatory.
- The deadline for registration is October 22.
- The link is: https://bmd2020.espais.iec.cat/registration/ <https://bmd2020.espais.iec.cat/registration/>
In particular there will be a probability session "Stochastic Analysis and Random Structures" organized by Eulàlia Nualart (UPF), Matthias Schulte (Heriot-Watt U) and Piotr Zwiernik (UPF).
Best regards,
Anna Paola Todino
--
Anna Paola Todino
Ruhr-University Bochum
Please see the following announcement of a junior researcher (RTDa) position opening in the group of Applied Statistics at the Department of Mathematics, Politecnico di Milano.
—————————————————————————————————————————
Dear colleagues,
I would like to announce a *junior researcher* (RTDa) position opening in the group of Applied Statistics at the Department of Mathematics, Politecnico di Milano.
Please kindly forward the following announcement to potential candidates.
Best regards,
Francesca Ieva
—————————————————————————————————————————
*Junior Researcher position in Statistics *
*Project title*: "Integration between study design and data analytics for generating credible evidence in the field of healthcare from heterogeneous sources of structured and unstructured data”
======================================================================
We are looking for a junior researcher (3 year contract, starting date is between Feb 2021 - March 2021) to join the research group of Applied Statistics working within the research plan between Politecnico and AstraZeneca.
One key criticism of evidence-based medicine is that only a minority of patients benefits of even efficacious therapies, but all treated patients are exposed to the costs and potential harms of those therapies. As a result, the effect of any treatment is often uncertain in a specific patient. Personalized care and precision medicine are becoming the main perspectives for obtaining better health outcomes at sustainable costs. The activities will develop along these perspectives with particular focus towards integrating observational designs and big data analytics to obtain solid, reproducible evidence whose results are verifiable in terms of health and expenditure. To this end, the researcher will develop multiple lines of research on Health Analytics for monitoring the effect of innovative oncological drugs through Real World Data, in collaboration with highly qualified clinical research centers.
The ideal candidate should have a background and skills in at least some of the following:
- Data Science, Statistics, Health Economics, Applied Mathematics, Software/Mathematical Engineering.
- Solid experience in the data management and data analysis with R, Python, Matlab or C++.
- Working knowledge in at least one of the following topics: biostatistics, pharmacoepidemiology, applied statistics, health economics.
The effort is of a collaborative nature so strong interpersonal and communication skills are required. Teaching for both statistics and medical programs will be required. Working language is Italian and English.
**Deadline for applications** is *November 11th, 2020*.
Information and details about procedure can be found at
https://www.polimi.it/it/docenti-e-staff/bandi-e-concorsi/bandi-e-concorsi-…
For any further information please send an e-mail to francesca.ieva(a)polimi.it<mailto:francesca.ieva@polimi.it>.
-----------------------------------------------------------------------------------------------------------------------------------------------
——
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
tel: +39 02 2399 4554
fax: +39 02 2399 4568
email: laura.sangalli(a)polimi.it<mailto:laura.sangalli@polimi.it>
url: http://mox.polimi.it/~sangalli
Con preghiera di diffusione
The Bachelier Finance Society and the Department of Mathematics of the
Politecnico di Milano, in cooperation with Springer, are proud to announce
the 2020 Nicola Bruti Liberati Prize for the best doctoral thesis defended
in 2019-2020 in all subjects of Mathematical Finance,
such as, but not limited to: Derivative Pricing, Computational Finance,
Econometrics and Statistical Methods applied to Finance, Risk Analysis,
Portfolio Optimization, Probability Methods in Finance, and Numerical
Methods in Finance.
Applications must be sent no later than February 1, 2021.
For details: https://www.qfinlab.polimi.it/bruti-liberati-prize/