We announce the following seminar (held only in person):
26/01/2023 at 12:00
Bocconi University, Via Roentgen 1, Milan
Room 3-B3-sr01, floor 3
Speaker: Olga Klopp (ESSEC and CREST).
Personal webapge: http://kloppolga.perso.math.cnrs.fr/
Title: Optimality of Variational Inference for Stochastic Block Model
Abstract: Variational methods are extremely popular in the analysis of
network data. Statistical guarantees obtained for these methods typically
provide asymptotic normality for the problem of estimation of global model
parameters under the stochastic block model. In the present work, we
consider the case of networks with missing links that is important in
application and show that the variational approximation to the maximum
likelihood estimator converges at the minimax rate. This provides the first
minimax optimal and tractable estimator for the problem of parameter
estimation for the stochastic block model. We complement our results with
numerical studies of simulated and real networks, which confirm the
advantages of this estimator over current methods.
See also
https://bidsa.unibocconi.eu/newsevents/bidsa-seminar-series-optimality-vari…
.
Best regards,
Giacomo Zanella
*2nd LEVEL **EXECUTIVE ** MASTER in*
*QUANTUM MACHINE LEARNING*
(*https://www.cafoscarichallengeschool.it/.../quantum.../*
<https://www.cafoscarichallengeschool.it/master/quantum-machine-learning/?fb…>
)
Dear All,
I'm informing you that:
- the deadline for the enrollment to the *EXECUTIVE 2nd LEVEL MASTER
in QUANTUM MACHINE LEARNING* is approaching: February 1, 2023,
*- 5 INPS full-coverage scholarships are available for Italian civil
servants (https://www.inps.it/Welfare/default.aspx?lastMenu=21556...
<https://www.inps.it/Welfare/default.aspx?lastMenu=21556&iMenu=1&tb=0&fondo=…>).*
for any information, you can contact lorenzo.paolini(a)unive.it.
Regards,
Marco Corazza
P.S. - Please, give wide diffusion to this announcement.
--
Marco Corazza, Ph.D.
Department of Economics - Ca' Foscari University of Venice
San Giobbe, Cannaregio 873 - 30121 Venezia, Italy
Mobile: (+39) 366 602-9134
Phone: (+39) 041 234-6921
Fax: (+39) 041 234-7444
E-mail: corazza(a)unive.it
Editor-in-Chief: Mathematical Methods in Economics and Finance -
www.unive.it/m2ef
Care/i tutte/i,
ricordo che la scadenza per la presentazione delle domande di ammissione al dottorato in Statistics and Computer Science dell’Università Bocconi, Milano, è imminente: 1 Febbraio.
Vi sarei molto grato se voleste portare all'attenzione di vostri studenti interessati l'annuncio riportato di seguito.
Saluti e buona settimana,
AL
*******************
PhD in Statistics and Computer Science - a.y. 2023-2024
Call for applications for PhD student positions
*******************
The Bocconi PhD School provides 7 scholarships for the PhD in Statistics and Computer Science, and a position with tuition waiver.
* Scholarship amount *
20,000 euros per annum
Further funding may be available through teaching and research assistantship.
Visit www.unibocconi.eu/admissionphd for detailed information.
** Applications are due by February 1, 2023 **
Within the PhD School at Bocconi University, the four-year PhD program in Statistics and Computer Science is a high profile and rigorous doctoral program that develops strong mathematical, statistical, computational and programming backgrounds.
The curriculum is structured into two tracks: Statistics and Computer Science. The first year includes courses that are compulsory for all enrolled PhD students. The second-year features track-specific and elective courses that provide students with a more specialized competence and focus on topics that may be the object of the doctoral dissertation.
Dedicated mentorship is offered to students throughout their time at Bocconi. Multidisciplinary interchange with other graduate programs in Bocconi’s PhD School, as well as research experience abroad, are also encouraged.
The Faculty includes internationally acknowledged top researchers in Statistics, Computer Science, Machine Learning, Decision Theory and Statistical Physics. The program also benefits from contributions of authoritative visiting professors who deliver short monographic courses.
Highly qualified and motivated students with M.Sc. degrees in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering and related areas, as well as other quantitatively-oriented fields, are encouraged to apply for admission.
Applicants should hold, or be on their way to hold, a graduate degree or equivalent.
For further information about the PhD program in Statistics and Computer Science at Bocconi, visit www.unibocconi.eu/phdstatscompscience and feel free to contact:
Antonio Lijoi (antonio.lijoi(a)unibocconi.it)
Angela Baldassarre, PhD administrative assistant (angela.baldassarre(a)unibocconi.it)
Antonio Lijoi
-----
Bocconi University
http://mypage.unibocconi.eu/antoniolijoi
The Department of Management at U. Ca’ Foscari Venezia is interested in receiving expressions of interest for a position in Statistics, or in Mathematics Applied to Social Sciences. The position is open (tenure-track, associate, or full). Scholars with three years’ of seniority abroad may be hired directly.
Candidates should have a solid knowledge of advanced mathematical tools and their research output should have used them in at least one of the following areas: management science, economics, finance, insurance, decision theory, game theory, or social sciences. Emphasis on data science or network science is particularly appreciated.
Please address questions or inquiries to Marco Li Calzi <licalzi(a)unive.it <mailto:licalzi@unive.it>>.
__________________________________
Marco Li Calzi
Department of Management
Università Ca' Foscari Venezia
San Giobbe, Cannaregio 873
30121 Venezia, Italy
T. +39 041 234 6925
M. licalzi(a)unive.it
WWW: http://mizar.unive.it/licalzi
Dear Colleagues,
we would like to draw your attention to the upcoming 2023 IEEE
INTERNATIONAL WORKSHOP ON METROLOGY FOR LIVING ENVIRONMENT that will be
held at the Politecnico di Milano, (Italy), 29 - 31 May, 2023.
The following Special Session is open to receive your submissions.
PROBABILITY AND MATHEMATICAL STATISTICS FOR LIVING ENVIRONMENT AND METROLOGY
The application of metrology related to living environment plays an
important role in many applicative contexts to understand and identify
sources of variability and to minimise their influence. There is a lack of
probabilistic and machine learning approaches in this field; therefore this
session aims at covering this aspect. Probability Theory and Statistics
provide powerful tools for the development of new mathematical models to
describe real life phenomena. One of the most significant advantages of the
probabilistic modeling is that it gives a comprehensive understanding of
the uncertainty associated with a measurement result. Therefore, the goal
of this session is to gather recent advancements with promising future
perspectives on the application of mathematical models, in areas such as
health care and environmental, to improve the quality of life.
Website: https://www.metrolivenv.org/special-session-4
*Important deadlines:*
*Extended Abstract Submission Deadline*
January 31, 2023
*Extended Abstract Acceptance Notification*
March 15, 2023
*Final Paper Submission Deadline*
April 15, 2023
*Conference Dates*
May 29-31, 2023
For further information and updates please visit the conference website:
https://www.metrolivenv.org/
We are looking forward to Welcome you in Milan!
Do not hesitate to forward this message to anyone who could be interested.
Thank you very much for your kind consideration, and apologies for multiple
copies.
We look forward to hearing from you.
Best Regards,
The Session Organizers
Dr Antonella Iuliano
Assistant Professor (RTD-B) in Probability and Mathematical Statistics
Department of Mathematics, Computer Science, and Economics
<https://portale.unibas.it/site/en/home/about-us/departments-and-schools/art…>
(DIMIE)
University of Basilicata
Viale dell'Ateneo Lucano, n. 10, 85100, Potenza (Italy)
e-mail: antonella.iuliano(a)unibas.it <mariagrazia.russo(a)unibas.it>
phone: +39 0971205891
mobile: +39 3926786025
****
AVVISO di SEMINARIO
Prof. Nikolai Leonenko
School of Mathematics, Cardiff University, UK
TITOLO:
Limit theorems for the first Minkowski functional of Gaussian
spatiotemporal random fields with long-memory
Abstract
The paper [1] addresses the asymptotic analysis of sojourn functionals
of spatiotemporal Gaussian random fields with long-range dependence
(LRD) in time also known as long memory. Specifically, reduction
theorems are derived for local functionals of nonlinear transformation
of such fields, with Hermite rank m ? 1, under general covariance
structures. These results are proven to hold, in particular, for a
family of non?separable covariance structures belonging to Gneiting
class. For m = 1, under some general condition on covariance structure
of spatiotemporal random field with long memory in time, the properly
normalized first Minkowski functional converge in distribution to the
normal law. For m = 2, under separability of the spatiotemporal
covariance function in space and time, the properly normalized
Minkowski functional, involving the modulus of a Gaussian random
field, converges in distribution to the Rosenblatt type limiting
distribution for a suitable range of the long memory parameter. Some
other related results can be found in [2,3]. For spatiotemporal
isotropic stationary fields on sphere similar results obtained in
Marinucci et al. [4]
This is joint results with M.D.Ruiz-Medina (Granada University, Spain).
References
[1] Leonenko, N.N. and Ruiz-Medina, M.D. (2023) Sojourn functionals
for spatiotemporal Gaussian random fields with long-memory, Journal of
Applied Probability, in press.
[2] Leonenko N. and Olenko, A. (2014) Sojourn measures for Student and
Fisher-Snedecor random fields, Bernoulli, 20 (3), 1454-1483
[3] Makogin, V. and Spodarev, E. (2022). Limit theorems for excursion
sets of subordinated Gaussian random fields with long-range
dependence, Stochastics, 94, 111?142
[4] Marinucci, D., Rossi, M. and Vidotto, A. (2020). Non-universal
fluctuations of the empirical measure for isotropic stationary fields
on S2 × R, Annals of Applied Probability, 31, 2311?2349
Il seminario si terrà il giorno 25 Gennaio 2023 ore 15:30 nella Aula
C del Dipartimento Matematica e Applicazioni, Università di Napoli
FEDERICO II, Complesso di Monte Sant'Angelo, Via Cintia, Napoli.
Link to Teams:
https://teams.microsoft.com/l/meetup-join/19%3aMQ4RZDBo_0G-K_PHxKtktVYAczOG…
Enrica Pirozzi
****
--
Enrica Pirozzi
Dipartimento di Matematica e Applicazioni
Universita' di Napoli FEDERICO II
Via Cintia, Monte S.Angelo, 80126, NAPOLI, ITALY
Tel. 081 675634
https://www.docenti.unina.it/ENRICA.PIROZZI
Dear Colleagues,
The Department of Mathematics and Computer Science of TU Eindhoven has an open Ph.D. position in Statistics. We are looking for a motivated candidate with a solid theoretical background in Probability/Statistics to join our group and conduct theoretical research in the area of dependence modeling and copulas under my supervision.
Application deadline: February 16, 2023.
Job description: https://jobs.tue.nl/en/vacancy/phd-in-statistics-978530.html <https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.tue.…>
I would appreciate it if you could forward this email to any potential candidates.
Thanks and best wishes,
Elisa
---
Elisa Perrone, Ph.D.
Assistant Professor
Department of Mathematics and Computer Science
Eindhoven University of Technology
elisaperrone.info <http://elisaperrone.info/>
Buongiorno a tutti,
segnalo che è stato pubblicato il bando del premio UMI De Finetti 2023
rivolto a giovani studiose e studiosi in Calcolo delle Probabilità ed
Applicazioni:
https://umi.dm.unibo.it/premi/bandi-premi/
La scadenza è il 31 marzo 2023 (in allegato il bando).
Alla medesima pagina trovate anche il bando del premio Caccioppoli 2022
rivolto a giovani ricercatrici e ricercatori in tutti gli ambiti della
matematica (scadenza 28 febbraio 2023).
Vi prego di darne la massima diffusione.
Buona giornata,
Claudia Ceci
***************************************************************
Claudia Ceci
Dipartimento di Metodi e Modelli per l’Economia, il Territorio e la Finanza
Università di Roma La Sapienza
Via Del Castro Laurenziano 9
Roma 00161 Italy
Email: claudia.ceci(a)uniroma1.it