Friday October 21st 2022 9:30 – 12:15
Dipartimento di Matematica, Università di Bologna
In presence at Aula GIS Geologia, via Zamboni 67
Second PON Seminars Day:
* Rossella Agliardi Dipartimento di Matematica, UNIBO
Green bonds
* Peter Tankov ENSEA, Institute Polytechnique de Paris
Corporate debt value under transition scenario uncertainty
* Giulia Livieri Scuola Normale Superiore, Pisa
Modeling an example of green transition
More infor at: https://phd.unibo.it/matematica/en/pon
Organization by: Giacomo Bormetti
All interested people are kindly invited to join us.
Sincerely,
Giacomo Bormetti
Giacomo Bormetti
https://www.unibo.it/sitoweb/giacomo.bormetti
Good morning,
Hope my email finds you well.
We are hiring a *Postdoc in Statistics at the University of Milano-Bicocca
from December 2022* (session III, published on October 3,2022, with
*deadline for
application on October 17 *at noon).
More information about the content of the research can be found below, and
at the link
https://en.unimib.it/education/postgraduates/doctoral-research-phd-programm…
Best,
Francesca Greselin
<https://www.scopus.com/authid/detail.uri?authorId=25936155400>
Department of Statistics and Quantitative Methods
University of Milano-Bicocca
*Title of the research*
Statistical methodologies for the development of green and eco-sustainable
cosmetic products from marine environmental DNA
*Abstract *
Sustainable Fashion, Luxury, and Design are currently key sectors of
Milan's economy. There is an increasing interest in an ecological and
digital transition within all economic sectors, and Milan Universities,
together with many innovative firms, are heading such an effort, also in
the cosmetics field. This research project aims to contribute to
transforming the production and distribution processes within the area of
cosmetics to reduce environmental impacts and foster the market transition.
The research will have a first phase to perform market research on
cosmetics and luxury, firstly on bibliographic sources, and successively
integrating different sources of information obtained from public
repositories and from specific analyses that can be conducted on web
scraped data. The first part of the study aims to understand and assess
customers' interest in green cosmetics for topical use and identify the
specific features that could make a difference in market share. As a
result, particular skills related to data collection through different
sources, data cleaning, and data integration should be developed along with
the research. It also involves the processing of a vast amount of data,
therefore, a good familiarity with and/or predisposition to the use of big
data is welcome and desirable. Research should be carried on to devise the
key factors required by the market or beneficial to it, and to scrutinize
appropriate models for economic forecasting. The second phase of the
research will be carried out on experimental data originated by studying
new products. Within a wise ecological transition, microplastics will be
replaced with natural materials for cosmetic products. This transition will
be performed in collaboration with the Bicocca Marhe center (located on
Maldives island), where particular plant species are found, and great
biodiversity is available for the purpose. The activities will be conducted
under a surveillance protocol to monitor these marine species' conservation
status and assess the impact of human activities, to protect important
offshore marine sites. Experiments with new cosmetics will also originate
from studies of the microbiota of the skin, and how it is altered and
modified with newly developed products. New chemical formulas will be
experimented to find alternatives to analog formulas used in valid but not
green cosmetics, perfecting and optimizing existing molecules, and
formulating them as better alternative products. Finally, the third part of
the research will be devoted to providing indications for production and
distribution processes that will agree with the project's overall purpose
of sustainability. Possible research exchange visits are envisaged with
other foreign universities currently involved in ongoing collaborations.
https://unimib.webex.com/meet/francesca.greselin
Please, take a look at my recent research:Cappozzo, A., Duponchel, L.,
Greselin, F., Murphy, T.B., 2021, Robust variable selection in the
framework of classification with label noise and outliers: applications to
spectroscopic data in agri-food
<https://www.sciencedirect.com/science/article/pii/S0003267021000714>,*
Analytica Chimica Acta,* https://doi.org/10. 1016/j.aca.2021.338245
<https://doi.org/10.1016/j.aca.2021.338245>
Cappozzo, A., Greselin, F., Murphy, T.B., 2021, Robust variable selection
for model-based learning in presence of adulteration
<https://www.sciencedirect.com/science/article/pii/S0167947321000207>,
*Computational
Statistics and Data Analysis*, 158, 107186.
Cappozzo A., Greselin F., Murphy B., 2020, Anomaly and Novelty detection
for robust semi-supervised learning
<https://link.springer.com/article/10.1007/s11222-020-09959-1>, *Statistics
and Computing*, 30, 1545-1571.
Davydov Y., Greselin F., 2020, Inferential results for a new inequality
curve <https://arxiv.org/abs/1706.05576>,* Mathematical Methods of
Statistics*, 29, 1 (forthcoming).
Greselin F., Jedrzejczak A., 2020, Analyzing the Gender Gap in Poland
and Italy, and by Regions, <https://rdcu.be/ccJym> *International Advances
in Economic Research*, 26, 433--447.
Greselin F., Pellegrino S., Vernizzi A., 2020, The Zenga Equality curve: a
new approach to measuring tax redistribution and progressivity
<https://onlinelibrary.wiley.com/doi/10.1111/roiw.12493>, *The Review of
Income and Wealth*, Early View.
Cappozzo, A., Greselin, F., Murphy, T.B., 2019. A robust approach to
model-based classification based <https://rdcu.be/bOTIT>on trimming and
constraints <https://rdcu.be/bOTIT>. *Adv Data Anal Classif,*
* 14, 327--354.**Statistical Learning of Complex Data
<https://link.springer.com/book/10.1007/978-3-030-21140-0>*, Greselin F.,
Deldossi L., Bagnato L., and Vichi M. Ed., *Springer book
<https://link.springer.com/bookseries/1564>* of selected papers ClaDAG 2017.
Dear friends and colleagues,
It is with great pleasure that we inform you that, on December 02 2022,
there will be a one-day conference in Sapienza Università di Roma to
celebrate the work and contributions of Francesco Guerra on the occasion of
his eightieth birthday.
More details can
be found at this link <https://www.adrianobarra.com/guerra80.html>.
With our best regards,
the Organizing Committee
Elena Agliari
Adriano Barra
Enzo Marinari
Giorgio Parisi
Federico Ricci-Tersenghi
Buongiorno
ricevo ed inoltro.
Saluti
Alessandra
---------- Forwarded message ---------
From: Inhomegenous Random <inter(a)math.cnrs.fr>
Date: Sat, 1 Oct 2022 at 22:44
Subject: January 24-25 IRS 2023 Conference Announcement
To: <faggiona(a)mat.uniroma1.it>
Dear Colleagues,
This is the first announcement for the two-day conference on:
INHOMOGENEOUS RANDOM SYSTEMS
which will be held on Tuesday 24 and Wednesday 25 January 2023
at Institut Curie and Institut Henri Poincaré, Paris,
and also on-line.
You will find in attachment a PDF file of the announcement
with the same informations as below which you may print and post up.
Looking forward to meeting you in Paris,
Giambattista Giacomin, Christian Maes, Ellen Saada.
---------------------------------------------------------------------
INHOMOGENEOUS RANDOM SYSTEMS
Systemes Aleatoires Inhomogenes
January 24-25, 2023
Institut Curie & IHP (also online)
11-13, rue Pierre et Marie Curie, Paris
The aim of this annual workshop is to bring together
mathematicians and physicists working on disordered or random
systems, and to discuss recent developments on themes of
common interest. Each of the two days is devoted to a
specific topic; the 2021 session is planned as follows.
Tuesday 24 January:
POINT PROCESSES AND STATISTICAL MECHANICS.
Moderator: Alessandra Faggionato (Roma).
Nontrivial geometrical patterns emerge in many areas of science
and technology and a fundamental tool for their modeling is
provided by point processes. Their zoology is very rich and
a central role is played by the Poisson point process. The
workshop aims at presenting recent results on point processes
both of theoretical nature (analysis, geometry and probability)
and more applied ones, notably in the direction of statistical
mechanics and material science.
There will also be a moment in memory of our friend and colleague
Francis Comets.
Speakers: Alessandra Faggionato (Roma), Antoine Gloria
(Paris & Bruxelles), Frank den Hollander (Leiden), Martin Huesmann
(Muenster), Sabine Jansen (Muenchen), Raphael Lachieze-Rey (Paris),
Giovanni Peccati (Luxembourg).
Wednesday 25 January:
FREE PROBABILITY, BETWEEN MATHS AND PHYSICS.
Moderator: Jorge Kurchan (Paris)
Free probability is a flourishing field in probability theory.
It deals with non-commutative random variables where one
introduces the concept of "freeness" in analogy to
"independence" of commuting random variables.
On the mathematical side, it has given new tools and
a deeper insight into, amongst others, the field of random
matrices. On the physics side, it has recently appeared
naturally in the context of quantum chaos, where all its
implications have not yet been fully worked out.
Speakers: Denis Bernard (Paris), Jean-Philippe Bouchaud (Paris),
Laura Foini (Saclay), Alice Guionnet (Lyon), Frederic Patras
(Nice), Marc Potters (Paris), Roland Speicher (Saarbrucken).
---------------------
The conference and online participation are free and open to all.
To facilitate local organization, please register in advance
by sending an e-mail to:
inter(a)math.cnrs.fr with subject: IRS 2023
and the following informations:
Name: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
Institution:_ _ _ _ _ _ _ _ _ _ _ _ _ _ _
Address:_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
Email:_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
online or on site?: _ _ _ _ _ _ _ _ _ _ _
You may also consult the conference web page at:
http://irs.math.cnrs.fr
Giambattista Giacomin Christian Maes
Mathematiques, LPSM Theoretische Fysica
Universite de Paris KU Leuven, Belgium
Ellen Saada
Mathematiques, MAP5
Universite de Paris
Partially supported by CNRS, UNiversite Paris Cite
and KU Leuven.
--
*************************************************
Prof. Alessandra Faggionato
https://www1.mat.uniroma1.it/people/faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 5, Phone (0039) 06 49913252
*************************************************
The second edition of the Stochastic Processes, Analysis and Semigroups
School will take place December 12 - 16, 2022 at the University of
Trento (Italy).
It is a one-week winter school for Master and PhD students and is
co-organized by the Universities of Trento and Wuppertal. It will
consist of four minicourses:
Introduction to Malliavin Calculus (Margherita Zanella, Politecnico di
Milano)
Ergodic measures and Wasserstein distance (Peter Kuchling, Bergische
Universität Wuppertal)
Filtering theory (B.P.W. Fernando, University of Sri Jayewardenepura)
Regularisation by noise (Michele Coghi, Università di Trento).
Talks by some participants and a poster session are also planned.
The school is made possible by funding of the University of Trento,
within the Department of Excellence project. There are limited
resources available to provide accommodation to some of the participating
students.
Registration is free but compulsory, through a form available on the
school's webpage. The deadline for registration is November 6, 2022.
For more information, visit the webpage
https://sites.google.com/unitn.it/sstw/
or write an email to primer(dot)maths(at)unitn(dot)it
Best regards,
the organisers:
Luigi Amedeo Bianchi (Università di Trento)
Stefano Bonaccorsi (Università di Trento)
Martin Friesen (Dublin City University)
Barbara Rüdiger (Bergische Universität Wuppertal)
Buongiorno,
è stato pubblicato il Bando relativo all'indizione di una procedura
selettiva per posti da Ricercatore a tempo determinato RTD-B, di cui uno
nel settore concorsuale 13D1 presso il Dipartimento di Scienze Statistiche
dell’Università degli Studi di Padova.
Il bando è disponibile all’indirizzo:
https://www.unipd.it/procedura-2022RUB05
La *scadenza* per la presentazione delle domande è il *27 ottobre 2022 alle
ore 13*.
Si prega di dare la massima diffusione presso tutti gli interessati.
Grazie per la collaborazione
Alessandra Fabbri Colabich
--
Dott.ssa Alessandra Fabbri Colabich
Università degli Studi di Padova
Dipartimento di Scienze Statistiche
[image: Ottocento anni di libertà e futuro]
Ricevo e inoltro volentieri.
********************************
Vittoria Silvestri
Assistant Professor
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
********************************
---------- Forwarded message ---------
Da: Pablo Groisman <pgroisma(a)dm.uba.ar>
Date: lun 26 set 2022 alle ore 14:56
Subject: NetSci-X 2023, Buenos Aires, Argentina, February 7-10, 2023.
To:
Dear colleagues,
We kindly ask for your help to spread the word in your institute/university
about the call for contributions to NetSci-X 2023 to be held in Buenos
Aires (see below).
Many thanks in advance,
Pablo Groisman.
*NetSci-X 2023, Buenos Aires, Argentina, February 7-10, 2023* -
https://cnet.fi.uba.ar/netscix23/
[image: Ciudad de Buenos Aires]
We kindly invite you to submit your contribution to the International
School and Conference on Network Science *NetSci-X 2023*, which will be
held onsite at *School of Engineering* of *Universidad de Buenos Aires*
(UBA), Argentina on February 7-10, 2023. *The abstract submission deadline
is October 28, 2022*.
The annual NetSci-X conference is organized by the Network Science Society (
https://netscisociety.net/) to promote research on Network Science, both
regarding the fundamentals as its applications in epidemiology, social
networks, economy, ecology and finance, among others.
The conference will also be an opportunity for exchange between researchers
in South America and the rest of the world, hosting distinguished speakers
working in different areas of Network Science, and fostering local and
international collaboration.
More info at: https://cnet.fi.uba.ar/netscix23/ (CfP; abstract format;
organizers; invited speakers; registration; venue).
We hope to see you in Buenos Aires!
Dear all,
Season 4 of the One Word ABC Seminar https://warwick.ac.uk/oneworldabc is starting this week on Thursday the 29th September, 1.30pm UK time.
The first speaker of the season will be Till Hoffman, who will talk about "Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics", with an abstract reported below.
The link to join the talk is
https://bristol-ac-uk.zoom.us/j/93353511660?pwd=MmFTNUR5QkFBeStlenNVemtZbzJ…
Meeting ID: 933 5351 1660
Passcode: 406075
We are looking forward to seeing you there,
Best regards,
Massimiliano on the behalf of the One World ABC Organisers
When: 29th September, 1.30pm UK time
Speaker: Till Hoffmann <https://tillahoffmann.github.io/> (Harward T.H. Chan School of Publich Health)
Title: Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics
Abstract: Extracting low-dimensional summary statistics from large datasets is essential for efficient (likelihood-free) inference. We propose obtaining summary statistics by minimizing the expected posterior entropy (EPE) under the prior predictive distribution of the model. We show that minimizing the EPE is equivalent to learning a conditional density estimator for the posterior as well as other information-theoretic approaches. Further summary extraction methods (including minimizing the L² Bayes risk, maximizing the Fisher information, and model selection approaches) are special or limiting cases of EPE minimization. We demonstrate that the approach yields high fidelity summary statistics by applying it to both a synthetic benchmark as well as a population genetics problem. We not only offer concrete recommendations for practitioners but also provide a unifying perspective for obtaining informative summary statistics.
Reference: T. Hoffmann and J.P. Onnela. Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics. Preprint at ArXiv:2206.02340, 2022
------
Dr. Massimiliano Tamborrino
Assistant Professor
Department of Statistics
University of Warwick
https://warwick.ac.uk/tamborrino