Dear All,
The Department of Economics and Business, University of Firenze, offers *two
positions* funded by the PRIN- PNRR 2022 project
“*Honey BEE VOLatility: An environmental index for assessing climatic risk
impact on ecosystems service provision*” (P.I. Maria Elvira Mancino)
- The first position is for 12 months and is open to graduates
who do not yet hold a Ph.D.
The details of the call are at:
https://titulus.unifi.it/albo/viewer?view=files%2F005316997-UNFICLE-953f59f…
- The second position is for 20 months and is a post-doc position.
The details of the call are at:
https://titulus.unifi.it/albo/viewer?view=files%2F005316905-UNFICLE-2f06001…
The deadline for both positions is *January 1st, 2024*
Should you have any questions, please do not hesitate to contact me. I
would be grateful if you could forward this message to any potentially
interested candidate.
Best regards
Mavira
--
Maria Elvira Mancino, PhD
Professor of Mathematical Finance
Head of the Department of Economics and Management
University of Firenze
Via delle Pandette, 9
50127 Firenze
https://www.unifi.it/p-doc2-2014-0-A-2b333931392b-1.html
Dear Colleagues,
We would like to invite you to the following SPASS seminar, jointly
organized by UniPi, SNS, UniFi and UniSi (abstract below):
*Uniqueness of the invariant measure and asymptotic stability for the 2D
Navier-Stokes equations with multiplicative noise*
by* Margherita Zanella* (Politecnico di Milano)
The seminar will take place on *TUE, 19.12.2023* at *14:00 CET *in Aula MCL
16, Polo San Niccolò, Dipartimento di Ingegneria dell'Informazione e
Scienze Matematiche, University of Siena and streamed online at the link
below.
The organizers,
A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco
https://sites.google.com/unipi.it/spass
<https://www.google.com/url?q=https://sites.google.com/unipi.it/spass&source…>
-------------------------------------------
Abstract: We establish the uniqueness and the asymptotic stability of the
invariant measure for the two-dimensional Navier-Stokes equations driven by
a multiplicative noise which is either bounded or with a sublinear or a linear
growth. We work on an “effectively elliptic” setting, that is we require
that the range of the covariance operator contains the unstable directions.
We exploit the generalized asymptotic coupling techniques of [1] and [2],
used by these authors for the stochastic Navier-Stokes equations with
additive noise. Here, we show how these methods are flexible enough to deal
with multiplicative noise as well. A crucial role in our argument is played
by the Foias-Prodi estimate in expected value, which has a different form
(exponential or polynomial decay) according to the growth condition of the
multiplicative noise.
The talk is based on a joint work with Benedetta Ferrario.
References:
[1] N. Glatt-Holtz, J. C. Mattingly, and G. Richards. On unique ergodicity
in nonlinear stochastic partial differential equations. J. Stat. Phys.,
166(3-4):618–649, 2017.
[2] A. Kulik and M. Scheutzow. Generalized couplings and convergence of
transition probabilities. Probab. Theory Related Fields, 171(1-2):333–376,
2018.
Dear Colleagues,
I am hiring a Ph.D. student at the Faculty of Mathematics of the TU Chemnitz to work on a project in "Statistics for Network Stochastic Processes." The DFG (German Research Foundation) partially covers the position and is a project in collaboration with the London Imperial College and its NEST Program.
For further inquiries, please write me at
imma-valentina.curato(a)math.tu-chemnitz.de
or take a look at the below link.
https://www.tu-chemnitz.de/verwaltung/personal/stellen/172000_7_Rich.php
It would be very kind if you would bring it to the attention of
possible candidates. Thank you very much for your help!
Best Regards
Imma Curato
Dear colleagues,
it is my pleasure to announce a two-day workshop at the Scuola Normale of Pisa, taking place on Monday the 29th and Tuesday the 30th of January, 2024, around themes of random planar maps, random trees, random graphs.
Registration is free; it is open starting now and until January 15th at the link: https://forms.gle/HYyjJ1NQDYoCfrMb6
You can look forward to talks by the following speakers:
Louigi Addario-Berry, McGill University
Marie Albenque, IRIF Université Paris Cité
Eleanor Archer, Université Paris Nanterre
Thomas Budzinski, ENS Lyon
Guillaume Chapuy, IRIF Université Paris Cité
Nicolas Curien, Université Paris-Saclay
Christina Goldschmidt, University of Oxford
Jean-François Le Gall, Université Paris-Saclay
Robin Stephenson, University of Sheffield
Keep up to date with information about the programme by checking the website: https://sites.google.com/sns.it/pisaalacarte/home
Hoping to welcome as many of you as possible!
Please do not hesitate to share this announcement with whoever you think might be interested.
All the best,
Alessandra Caraceni
Scuola Normale Superiore
Correzione: scadenza 31 gennaio 2024
Si segnala il seguente bando per assegno di Ricerca presso il
Dipartimento di Matematica e Applicazioni dell'Università di Napoli
FEDERICO II con scadenza il 31 gennaio 2024
http://www.unina.it/documents/11958/48570136/DMA_AR-13_2023-12-11_bando.pdf
Cari saluti
Enrica
--
Enrica Pirozzi
Professore Associato di Probabilità e Statistica,
Dipartimento di Matematica e Applicazioni,
Università di Napoli FEDERICO II
Via Cintia, 80126, NAPOLI
https://www.docenti.unina.it/enrica.pirozzi
> 12th World Congress of the Bachelier Finance Society
>
> <https://bachelierfinance.us18.list-manage.com/track/click?u=702156a1168de89…>
>
>
> Getulio Vargas Foundation FGV EMAp,
> Rio de Janeiro, July 8-12, 2024
>
>
> Call for Papers
>
> Every two years, the *World Congress* of the *Bachelier Finance
> Society* brings together academics and practitioners in the
> Mathematical and Quantitative Finance community to exchange ideas on
> the state-of-the-art, discuss the latest trends in the field, and find
> new collaborations and employment opportunities.
>
> The 12th World Congress of the Bachelier Finance Society
> <https://bachelierfinance.us18.list-manage.com/track/click?u=702156a1168de89…> will
> take place at *FGV EMAp, Rio de Janeiro, July 8-12, 2024*.
>
>
> Louis Bachelier Lecture
>
> Michael Ludkovski (University of California, Santa Barbara, USA).
>
>
> Plenary Speakers
>
> Francesca Biagini (University of Munich, Germany), Agostino Capponi
> (Columbia University, USA), Christa Cuchiero (University of Vienna,
> Austria), Min Dai (The Hong Kong Polytechnic University, China),
> Pierre Henry-Labordère (Qube Research and Technologies), Johannes
> Muhle-Karbe (Imperial College London, UK), Emanuela Rosazza Gianin
> (Università degli Studi di Milano-Bicocca, Italy), Peter Tankov
> (ENSAE, France).
>
>
> Scientific Committee
>
> Beatrice Acciaio (ETH Zurich, Switzerland), Hans Buehler (XTX Markets,
> UK), Giorgia Callegaro (Università degli Studi di Padova, Italy), Nan
> Chen (Chinese University of Hong Kong, China), Giulia Di Nunno
> (University of Oslo, Norway), Jean-Pierre Fouque (University of
> California, Santa Barbara, USA), Emmanuel Gobet (École Polytechnique,
> France), Sebastian Jaimungal (University of Toronto, Canada), Steven
> Kou (Boston University, USA), Ernesto Mordecki (Universidad de la
> República, Uruguay), Christoph Reisinger (University of Oxford, UK),
> Yuri Saporito (Getulio Vargas Foundation, Brazil), Nizar Touzi (École
> Polytechnique, France), Thaleia Zariphopoulou (University of Texas at
> Austin, USA), Jorge Zubelli (Khalifa University, UAE).
>
>
> Submissions are open now
>
> Submissions are open on the conference website
> <https://bachelierfinance.us18.list-manage.com/track/click?u=702156a1168de89…> through
> *January 29, 2024*.
>
>
> Registrations are open now
>
> Registrations are open on the conference website
> <https://bachelierfinance.us18.list-manage.com/track/click?u=702156a1168de89…> (Early
> Bird until *April 30, 2024)*.
>
>
> Poster
>
> The poster of the Congress can be found here
> <https://bachelierfinance.us18.list-manage.com/track/click?u=702156a1168de89…>.
>
Dear all,
We would like to invite you to a seminar talk by Martin Slowik (University of Mannheim) for the "Padova Seminars in Probability and Finance" that will take place on Friday 15th December at 15:30, streamed via Zoom in room 2BC30, in Torre Archimede.
Title: Metastability of Glauber dynamics with inhomogeneous coupling disorder
Date: December 15, 2023 at 15:30, streamed via Zoom in room 2BC30
Zoom: https://unipd.zoom.us/j/85838041170?pwd=SitoTTBtcjkxeTBpNGpsMkpteHc3Zz09
Meeting ID: 858 3804 1170
Passcode: 115159
Abstract: Metastability is a phenomenon that occurs in the dynamics of a multi-stable non-linear system subject to noise. It is characterised by the existence of multiple, well separated time scales. The talk will be focused on the metastable behaviour of a general class of mean-field-like spin systems with random couplings that evolve according to a Glauber dynamics at fixed temperature. This class of systems comprises both the Ising model on inhomogeneous dense random graphs and the randomly diluted Hopfield model. Assuming that the corresponding system in which the random couplings are replaced by their averages is metastable I will explain how the metastability of the random system is implied with high probability. In particular, I will discuss the tail behaviour of the relevant metastable hitting times of the two systems and the moments of their ratio.
This is joint work with A. Bovier, F. Den Hollander, S. Marello and E. Pulvirenti.
Hope to see many of you!
Best wishes,
Alberto Chiarini e Alekos Cecchin
SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…>
Venerdi 15 Dicembre 2023, alle ore 12.00, presso il Collegio Carlo Alberto,
in Piazza Arbarello 8, Torino, si terrà il seguente seminario:
------------------------------------------------
Speaker: Ismael Castillo (Sorbonne Université, Paris, France)
Title: *Bayesian nonparametric adaptation with heavy-tailed priors*
Abstract:
We propose a new strategy for adaptation based on heavy-tailed priors. We
illustrate it in a variety of settings, showing in particular adaptation
with respect to unknown smoothness and structure parameters in the minimax
sense (up to logarithmic factors). We present numerical simulations
corroborating the theory. This talk is based on joint works with Sergios
Agapiou (Cyprus) and with Paul Egels (Sorbonne, in progress).
------------------------------------------------
Sarà possibile seguire il seminario anche in streaming:
Join Zoom Meeting
<https://us02web.zoom.us/j/81877065471?pwd=SnBhTkNWRlA5cy9XZjdldFJpUzJkdz09>
Il seminario è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
--
Pierpaolo De Blasi
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>
Dear colleagues
I would like to advertise a 12 months Research Associate position
(assegno di ricerca in the Italian jargon), funded by the PRIN 2022
project /Noise in fluid dynamics and related models/, at the Math
Department of the University of Pisa.
The details of the call are available here:
https://bandi.unipi.it/public/Bandi/Detail/b7e8abb4-b801-4b20-bfb5-da6ad780…
The deadline is on January 4, 2024, at 1pm CET.
Please feel free to reach out to me for any further information.
Best regards
M. Romito
Dear Colleagues,
We would like to invite you to the following SPASS seminar, jointly
organized by UniPi, SNS, UniFi and UniSi:
*A two-scale complexity measure for stochastic neural networks *
by Massimiliano Datres (Università di Trento)
The seminar will take place on TUE, 12.12.2023 at 14:00 CET in Aula
Seminari, Dipartimento di Matematica, UNIPI and streamed online at the link
below.
The organizers,
A. Agazzi, G. Bet, A. Caraceni, F. Grotto, G. Zanco
https://sites.google.com/unipi.it/spass
--------------------------------------------
*Abstract: **Over-parametrized deep learning models are achieving
outstanding performances in solving several complex tasks such as image
classification problems, object detection and natural language processing.
Despite the risk of overfitting, these parametric models show impressive
generalization after training. Hence, defining appropriate complexity
measures becomes crucial for understanding and quantifying the
generalization capabilities of deep learning models. In this talk, I will
introduce a new notion of complexity measure, called two-scale effective
dimension (2sED), which is a box-covering dimension related to a metric
induced by the Fisher information matrix of the parametric model. I will
then show how the 2sED can be used to derive a generalization bound.
Furthermore, I present an approximation of the 2sED for Markovian models,
called lower 2sED, that can be computed sequentially layer-by-layer with
less computational demands. Finally, I present experimental evidence that
the post-training performance of given parametric models is related both
with 2sED and the lower 2sED.*