Dear all,
our next and last One World ABC seminar <https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwarwick.a…> of the season is quickly approaching.
On Thursday June 23, at 1.30pm UK time, Cosma Shalizi<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.stat.…> will talk about "Matching Random Features", with an abstract reported below.
The Zoom link to join the talk is
https://bristol-ac-uk.zoom.us/j/99993089580?pwd=NUtzT0VLdGNvb0tJMFRNMXl6SlN…<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbristol-a…>
Password: 486380
We are looking forward to seeing you on Thursday,
best wishes,
Massimiliano on the behalf of the One World ABC Seminar Organisers
Speaker: Cosma Shalizi<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.stat.…>, Carnegie Mellon University
Title: Matching Random Features
Abstract: We can do statistical inference on simulation models by adjusting the parameters in the simulation so that the values of randomly chosen functions of the simulation output match the values of those same functions calculated on the data. Results from the ”statespace reconstruction” or “geometry from a time series” literature in nonlinear dynamics indicate that just 2d + 1 such functions will typically suffice to identify a model with a d-dimensional parameter space. Results from the “random features” literature in machine learning suggest that using random functions of the data can be an efficient replacement for using optimal functions. In this talk, I sketch some of the key results, present numerical evidence about the new method’s properties, and lay out an agenda for research.
Reference: C. Shalizi. A Note on Simulation-Based Inference by Matching Random Features. ArXiv: 2111.09220<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Farxiv.org…>, 2021.
------
Dr. Massimiliano Tamborrino
Assistant Professor
Department of Statistics
University of Warwick
https://warwick.ac.uk/tamborrino
Dear Colleagues,
we would like to invite you to the following seminar by Leonardo Maini
(Université du Luxembourg) to be held Wednesday, June 22nd, in Aula
Contini, at Scuola Normale Superiore in Pisa.
The seminar will take place in full presence (speaker included), but it
will be streamed via Google Meets, link below.
The organizers,
A. Agazzi and F. Grotto
--------------------------------------------
Location: *Aula Contini*, Scuola Normale Superiore, Pisa
Google Meet Link: https://meet.google.com/gji-phwo-vbg
Time: June 22nd 2022, 14:00-15:00 CET
Speaker: Leonardo Maini (Université du Luxembourg)
Title: Spectral central limit theorem for additive functionals of Gaussian
fields
Abstract: We consider a centered, continuous, stationary, Gaussian field on
the Euclidean space and a sequence of non-linear additive functionals of
the field. Since the pioneering works from the 80s by Breuer, Dobrushin,
Major, Rosenblatt, Taqqu and others, central and non-central limit theorems
for this kind of functionals have never ceased to be refined. The common
intuition is that the limit is Gaussian when we have short-memory and
non-Gaussian when we have long-memory and the Hermite rank R is different
from 1. Our goal is to show that this can be a misleading intuition. To do
that, we introduce a spectral central limit theorem, which highlights a
variety of situations where the limit is Gaussian in a long-memory context
with R different from 1. Our main mathematical tools are the
Malliavin-Stein method and Fourier analysis. The talk is based on a joint
work with Ivan Nourdin (University of Luxembourg).
Dear colleagues,
We would like to invite you to submit your research to our workshop on
"*Model Evaluation and Causal Search: Empirical and Experimental Approaches*
"
hosted by the University of Pisa and Sant'Anna School of Advanced Studies
on *25-27 September 2022 in Pisa (Italy)*.
If you are interested in presenting, please send your paper to
workshop.pisa.2022(a)gmail.com by *30 June 2022*.
The organization will sponsor the social dinner and accommodation for the
speakers.
Each paper will have a discussant. Regular sessions will be introduced by
our keynote speakers:
*Daniela Puzzello *(Indiana University), *Thomas Lux* (University of Kiel),
*Alessio Sancetta* (Royal Holloway, University of London), and *Tobias
Henschen* (University of Cologne).
A detailed call for papers is attached. Please circulate it among your
colleagues,
and do not hesitate to contact us should you require additional information.
For information visit
https://sites.google.com/view/model-evaluation-causal-search/home.
Best regards,
The Organizing Committee
FYI
—————————
Elia Bisi
Assistant Professor (non-TT)
Technische Universität Wien
Research Unit Mathematical Stochastics
https://eliabisi.com
---------- Forwarded message ----------
From: Nicholas Simm <N.J.Simm(a)sussex.ac.uk>
Date: 15 Jun 2022, 20:33 +0200
Subject: Postdoc position in random matrix theory
Dear colleague,
I am writing to advertise an 18 month postdoc position working on random matrix theory and related topics at the University of Sussex in Brighton, UK. The full job advert is:
https://www.sussex.ac.uk/about/jobs/research-fellow-in-mathematics-ref-8836
I would be very grateful if you could pass this message on to any potential applicants you might know.
Thanks, and best wishes,
Nick Simm
Dear Colleagues
a 2-year postdoc position ("assegno di ricerca terza fascia") in
Probability and its Applications is available at the Department of
Mathematics of the University of Rome Tor Vergata; the position is
partially funded by the MIUR Department of Excellence Programme
Math@ToV.
The application can be completed online - more information and
guidelines can be found at this link:
https://pica.cineca.it/uniroma2/
The deadline is July 7 - please feel free to forward this message to
those that could be interested, thanks for your attention,
Domenico Marinucci
--
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
Domenico Marinucci
Dipartimento di Matematica
Università di Roma Tor Vergata
https://www.mat.uniroma2.it/~marinucc/
@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@
Dear colleagues,
we are happy to announce the following online talk:
Speaker: *Lorenzo Taggi* (Università di Roma "La Sapienza")
Title: *Macroscopic loops in the Bose gas, Spin O(N) and related models.*
Abstract: We consider a system of closed random walks which interact
through a potential which depends on their mutual distance. The model is an
intriguing mathematical object on its own and is closely related to the
probabilistic reformulation of the interacting Bose gas in discrete
space, to spin systems and to the dimer model. We study the model in
dimension d > 2 and prove the occurrence of a phase transition
corresponding to the presence of macroscopic loops, whose length is
proportional to the size of the system, as the chemical potential is large
enough. For the interacting Bose gas the proof of this phase transition is
referred to as Bose-Einstein condensation and is one of the most important
open problems in statistical mechanics.
Date and time: *Monday June 20, 17:30-18:30 (Rome time zone)*.
*Zoom link:*
https://us02web.zoom.us/j/81858823936?pwd=dVRQRGcrTzRMMDV1UEJNcHdFN3JyQT09
*ID riunione:* 818 5882 3936
*Passcode:* 058907
This talk is a talk of the *(PMS)^2: Pavia-Milano Seminar series on
Probability and Mathematical Statistics* organized jointly by the
universities Milano-Bicocca, Pavia, Milano-Politecnico and Milano-Statale.
For more information see the dedicated webpage:
https://paviamilanoseminars.wordpress.com/
Participation is free and welcome!
Best regards,
The organizers (Mario Maurelli, Carlo Orrieri, Maurizia Rossi, Margherita
Zanella)
--
Maurizia Rossi
Dipartimento di Matematica e Applicazioni
Università degli Studi di Milano-Bicocca
https://mauriziarossi.wordpress.com
Avviso di seminario
22 Giugno 2022, ore 17:00, Aula seminari 4026, Edificio U7, IV piano
Dipartimento di Statistica e Metodi Quantitativi, Università degli Studi di Milano Bicocca
Webex Link: https://unimib.webex.com/unimib/j.php?MTID=me35206b954263f324454c6068feb6890 <https://unimib.webex.com/unimib/j.php?MTID=me35206b954263f324454c6068feb6890>
Join by meeting number
Meeting number (access code): 2740 378 2204
Meeting password: niUrDZVT465 (64873988 from phones)
Speaker: Corrado De Vecchi
Titolo: ''Robust assessment of life insurance products ''
Abstract: Survival probabilities are required in many actuarial evaluations, such as the computation of net premiums in the life insurance business. As the output of a statistical procedure, their estimation is subject to uncertainty.
In this article, we propose a robust assessment for the net premium of a standard life insurance contract with respect to the uncertainty on the estimated residual lifetime distribution function. Specifically, we provide a method to derive the range of values that the net premium of a given contract can attain when considering all residual lifetime distribution functions that satisfy an L^2 distance constraint with a reference distribution function.
The results obtained in this chapter can be used to obtain a conservative evaluation of the net premium that an insurance company should charge for a life insurance contract in order to avoid financial losses due to unexpected changes in longevity trends.
Gli interessati sono cordialmente invitati a partecipare,
Cordiali saluti,
Valeria
**********************************************
Valeria Bignozzi
Professore associato di Metodi Matematici dell’Economia e delle Scienze Attuariali e Finanziarie
Dipartimento di Statistica e Metodi Quantitativi (DiSMeQ), Università degli Studi di Milano-Bicocca, Edificio U7
Il Dipartimento di Metodi e Modelli per l'Economia, il Territorio e la
Finanza (MEMOTEF), Facoltà di Economia, Università La Sapienza di
Roma,
ha bandito una procedura selettiva per la copertura di un posto
di *Ricercatore a tempo determinato- tipologia B* per il SSD SECS-S/06
Il bando è reperibile all'indirizzo
https://web.uniroma1.it/trasparenza/sites/default/files/Bando_2022RTDB012_r…
La scadenza per la presentazione della domanda è il 7 luglio 2022.
buona giornata Gabriele Stabile
A tutti gli interessati
lo Sportello Matematico per l'Innovazione e le Imprese
<http://www.sportellomatematico.it/> sta organizzando la quarta edizione
del corso in “Trasferimento delle Tecnologie Matematiche per
l’Innovazione”. Il corso si svolgerà presso la sede CNR di via dei Taurini
19 a Roma durante il periodo *da lunedì 29 agosto a venerdì 2 settembre
2022*.
Il corso è rivolto principalmente a neolaureati in *Scienze Matematiche* e
*F**isiche*,* Ingegneria*,* Economia*,* Informatica* e *Statistica*, con l’
*obiettivo* di formare la figura professionale dell’*Esperto in
Trasferimento delle Scienze e Tecnologie Matematiche per l’Innovazione* (in
breve: Traduttore Tecnologico).
Tale figura nasce per facilitare la comunicazione e promuovere
collaborazioni tra imprese e centri di ricerca. Grazie alla sua formazione
interdisciplinare, il *Traduttore Tecnologico* può dialogare sia con
imprese che con Centri di Ricerca specializzati in Tecnologie Matematiche.
Facilita l'incontro tra i bisogni tecnologici delle PMI e le competenze
nelle Scienze e Tecnologie Matematiche disponibili nel sistema della
ricerca pubblica e privata. Promuove un numero crescente di collaborazioni
per apportare benefici tangibili alle imprese.
*Modalità di presentazione** delle domande*
Per procedere con la domanda di partecipazione, è sufficiente compilare il
form online a questo link
<https://www.sportellomatematico.it/SMII/limesurvey/index.php/93146?lang=it>
entro
il *22 Luglio 2022*, allegando un proprio CV aggiornato ed una lettera
motivazionale <https://cloudiac.rm.cnr.it/index.php/s/ozb6DPtAgnjZeZj> di
autopresentazione.
Entro il *27 luglio 2022 *verrà comunicato l'esito della selezione e
l'eventuale ammissione al corso.
La quota di partecipazione per gli ammessi al corso è pari a 150 Euro.
Per informazioni: www.corsotraduttoretecnologico.it
Grazie in anticipo per la collaborazione,
Il Team dello Sportello Matematico
*CONTENUTI DEL CORSO*
*Tecnologie Matematiche:* cosa sono, come vengono applicate nelle imprese,
tendenze del mercato della Ricerca e Innovazione, Prototipazione Virtuale e
Digital Twinning.
*Trasferimento Tecnologico:* contesto italiano ed internazionale, settori
industriali, esperienze di successo e strategie di comunicazione.
*Gestione dell'Innovazione:* concetti, fonti, forme, modelli ed ecosistemi
dell'innovazione, Open Innovation e rapporto con la Proprietà Intellettuale
*Sistemi di Supporto alle Decisioni e Ricerca Operativa:* abilitare il
potenziale delle Tecnologie Matematiche nel Management.
*Attori e Strutture Organizzative:* Best practices, il ruolo dello
Sportello Matematico in Italia ed in Europa.
*SBOCCHI E OPPORTUNITÀ PROFESSIONALI*
Area *Ricerca e Innovazione* presso imprese manifatturiere e di servizi
*Trasferimento Tecnologico* e *Valorizzazione della Ricerca* presso
Università e Centri di Ricerca
Partecipazione a *Progetti Europei* su Tecnologie Matematiche per
l’Innovazione