Dear all,
The abstract submission deadline for the 3rd Bayesian Nonparametric
Networking workshop has been extended to May 15.
The workshop is scheduled from July 30 to August 2 at The Institute for
Mathematical Sciences (IMS) in Singapore. The format will largely follow
the previous editions held in Nicosia (Cyprus) in April 2022 and Melbourne
(Australia) in December 2023.
This edition will offer three mini-courses delivered by Peter Orbanz
(University College London), Li Ma (Duke University), and Kerrie Mengersen
(Queensland University of Technology).
For more information, please visit the workshop event page at
https://bnp-networking2024.github.io/ or contact the local organizing
committee via bnp-networking2024(a)bayesian.org.
Best regards,
Raffaele Argiento and Maria de Iorio
--
Raffaele Argiento
Professor of Statistics
Department of Economics
University of Bergamo (Italy)
web: http://www.raffaeleargiento.it/
Dear all,
The call for applications to the PhD program in
*Economics, Analytics and Decision Sciences *(EADS)
at IMT School for Advanced Studies is out.
You can find the call on INOMICS:
https://inomics.com/program/8-fully-funded-phd-positions-in-economics-analy…
*Please, share the call and prompt potentially interested students to
apply. *
Here you can find the *EADS* *website*:
https://eads.imtlucca.it/
Here you can find the *information on the application procedure*:
https://eads.imtlucca.it/how-to-apply_1
*Deadline for applying: June 21 at 1pm.*
My best regards,
Irene Crimaldi
Seminari on-line del gruppo UMI - PRISMA (http://www.umi-prisma.polito.it/ <http://www.umi-prisma.polito.it/>)
I seminari PRISMA hanno un formato di "colloquium" per creare un'occasione di scambio e discussione con tutta la comunità dei probabilisti e statistici italiani. Ogni giornata comprende due relatori che tengono due seminari di 30 minuti strettamente connessi, per presentare alla comunità una prospettiva sul proprio ambito di ricerca. Da quest'anno le registrazioni dei seminari vengono pubblicate sul canale YouTube dell'UMI:
https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb <https://youtube.com/playlist?list=PLmySpc-jrtAMq84VH71evyqPc1hl6eEQb>
Il prossimo appuntamento è per lunedì 6 maggio 2024. I relatori saranno Domenico Marinucci (Università di Roma Tor Vergata) e Anna Vidotto (Università di Napoli Federico II) che parleranno di
La geometria degli insiemi di escursione per campi aleatori Gaussiani e La geometria dei campi aleatori sfera-per-tempo
con il seguente orario:
16:00 Primo seminario
16:30 Pausa e discussione
16:45 Secondo seminario
17:15 Conclusione e discussione
Trovate di seguito il riassunto. I seminari verranno trasmessi via Zoom al seguente link:
https://uniroma1.zoom.us/j/82939128330 <https://uniroma1.zoom.us/j/82939128330>
Meeting ID: 829 3912 8330
Vi aspettiamo numerosi!
Valentina Cammarota e Francesco Caravenna
%%%%%%%%%%%%%%%%%%%%%%%%%%%%
RELATORI: Domenico Marinucci (Università di Roma Tor Vergata) e Anna Vidotto (Università di Napoli Federico II)
TITOLO: La geometria degli insiemi di escursione per campi aleatori Gaussiani.
RIASSUNTO: Obiettivo del seminario sarà di presentare una panoramica relativamente informale su alcuni risultati nell'analisi della geometria dei campi aleatori che sono stati ottenuti negli ultimi 10 anni circa. In particolare, si inizierà ricordando i risultati sulle curvature di Lipschitz-Killing di insiemi di escursione per campi Gaussiani (la Gaussian Kinematic Formula di Adler e Taylor); si proseguirà quindi con risultati per la varianza e teoremi del limite centrale nel regime di asintotica ad alta frequenza, discutendo anche le connessioni con altri campi della probabilità (in particolare, le espansioni in caos di Wiener ed il metodo di Stein-Malliavin). Se il tempo lo permetterà, si discuterà altresì la struttura di interdipendenza tra curvature di
Lipschitz-Killing e punti critici, con alcuni cenni agli sviluppi più recenti (la geometria dei fibrati aleatori) e alle motivazioni/applicazioni di questi risultati.
TITOLO: La geometria dei campi aleatori sfera-per-tempo.
RIASSUNTO: Obiettivo del mio seminario sarà introdurre un nuovo regime asintotico per lo studio di campi aleatori definiti sulla sfera unitaria e dipendenti dal tempo. Considereremo statistiche di diversi funzionali geometrici costruite a partire dagli insiemi di livello del campo aleatorio e definite su un arco temporale crescente. Vedremo che le loro proprietà asintotiche, in particolare varianza e distribuzione limite, dipenderanno da un’interazione tra memoria temporale e livello. Infine, discuteremo brevemente le possibili applicazioni di questi modelli e dei risultati enunciati ad uno studio statistico delle proprietà dei campi aleatori di partenza, e conseguenti risvolti pratici nel campo delle scienze del Clima.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Dear Colleagues,
The *Italian Econometric Association* (SIdE-IEA, https://www.side-iea.it/),
in collaboration with the *Venice Centre in Economic and Risk Analytics for
Public Policies* (VERA, https://www.unive.it/vera) at the Department of
Economics, organizes the course for PhD students in:
Network Econometrics, 1 - 5 July, 2024, Università Ca' Foscari Venezia
https://www.side-iea.it/events/courses/network-econometrics-2024
The Summer School aims to provide participants with models and tools from
graph theory to analyse various effects of social, economic, and political
interaction. The school will host leading scholars developing relevant
network modelling and inference research and their applications to various
fields. The initiative is sponsored by the *Ca' Foscari International
College* (https://www.unive.it/pag/19476/) The school and the participants
from the Italian Advanced Schools are financially supported by the Ca’
Foscari International College under the aegis of ASSI (Alliance of the
Italian Advanced Schools).
*Participation*: Online or in presence
*Application Deadline*: May
*Coordinator*Roberto Casarin, Ca' Foscari University of Venice
*Lecturers*
Emanuele Aliverti, University of Padova
Angela Andreella, Ca' Foscari University of Venice
Monica Billio, Ca' Foscari University of Venice
Matteo Iacopini, Queen Mary University of London
Mariangela Guidolin, University of Padova
Luca Rossini, University of Milan
Veronica Vinciotti , University of Trento
*Requirements*
Intermediate knowledge of statistical inference and econometrics
Best Regards
Roberto Casarin
--
Roberto Casarin, PhD
Professor of Econometrics
Ca' Foscari University of Venice
San Giobbe 873/b - 30121 Venezia, Italy
http://sites.google.com/view/robertocasarin/https://www.unive.it/vera <https://www.unive.it/isba2024>
https://www.unive.it/isba2024
Dear Friends and Colleagues,
My department is pleased to announce that the 2024 call for applications for the PhD Program is now open. This year, eight positions with scholarships (about 1,600 euros per month) are available to cover the full length of the program (four years).
To apply, please visit
https://www.corsi.univr.it/?ent=cs&id=1008&menu=iscriversi&tab=comeiscriver…
The Program offers two dedicated tracks: "Economics (ECO)" and "Mathematics and Data Analytics for Finance (MDAF)". We invite applications from outstanding graduates who hold or are expected to hold a master's degree in Economics, Mathematics, Finance or related fields. The deadline for application is May 23, 2024.
For further information please visit the official Program webpage,
https://www.corsi.univr.it/?ent=cs&id=1008&menu=home&lang=en
or contact the program coordinator, Prof. Alessandro Bucciol (alessandro.bucciol(a)univr.it<mailto:alessandro.bucciol@univr.it>).
Please feel free to forward this information to anyone interested
Best regards, Cecilia
Ricevo e inoltro.
%%%%%%%%%%%%%%%%%%%%%
Da: "Prof. Fabio Toninelli" <fabio.toninelli(a)tuwien.ac.at>
Oggetto: PhD opening in Probability (Technical University of Vienna)
Data: 26 aprile 2024, 09:02:18 CEST
Dear colleague,
The Technical University of Vienna is advertising a PhD position in probability theory (with focus on discrete probability), within the Probability research group (https://www.tuwien.at/en/mg/proba) <https://www.tuwien.at/en/mg/proba>.
Deadline for applications: 23:59 CET on May 16th, 2024. The application should contain:
1. A CV of the candidate
2. A motivation letter.
3. A proof of the last academic degree (diploma).
4. A transcript of the grades of the candidates from their last academic year.
5. One letter of recommendation to be sent to karriere(a)tuwien.ac.at <mailto:karriere@tuwien.ac.at>.
For the official announcement, the link to the application portal and details on the position, see here: https://jobs.tuwien.ac.at/Job/231892 <https://jobs.tuwien.ac.at/Job/231892>.
Candidates who have not yet obtained their master degree but will do so within the calendar year are encouraged to apply.
Please forward this to potentially interested candidates.
Best wishes,
Fabio Toninelli
--
Prof. Dr. Fabio Toninelli
Technical University of Vienna
Institut für Stochastik und Wirtschaftsmathematik
Wiedner Hauptstrasse 8-10, 1040 Wien, Austria
Office: 6th floor, green area. tel: +43-1-58801-10570
https://sites.google.com/view/fabio-toninelli/home <https://sites.google.com/view/fabio-toninelli/home>
Dear Colleagues,
as part of the Visiting Professors program of the Master's Degree in Stochastics and Data Science at the University of Torino (full program available at https://www.master-sds.unito.it/go/visiting), we are pleased to announce the following course:
--------------------------------------
Samuel LIVINGSTONE (UCL)
MONTE CARLO METHODS FOR STATISTICAL INFERENCE
Monte Carlo methods and sampling algorithms have had a profound effect on scientific research for the past 80 years. In the course we will discuss these approaches in the context of statistical inference. We will cover some mathematical preliminaries, the Monte Carlo method, and basic approaches to sample from a probability distribution in low dimensions, before motivating and introducing Markov chain Monte Carlo and the Metropolis—Hastings algorithm for high-dimensional sampling and Monte Carlo (MCMC). Afterwards we will discuss more advanced topics such as studying bias and variance of MCMC ergodic averages via mixing times, and more advanced algorithms such as adaptive and gradient-based methods.
--------------------------------------
The course will be held exclusively in person, according to the following schedule:
- Tue 7/5, h.14-16
- Wed 8/5, h.16-18
- Thu 9/5, h.16-18
- Tue 14/5, h.14-16
- Wed 15/5, h.16-18
- Thu 16/5, h.16-18
Course location: Room 11, third floor, Corso Unione Sovietica 218/bis, 10134, Torino.
The participation is open to all interested.
Best regards
---
Matteo Ruggiero
University of Torino and Collegio Carlo Alberto
www.matteoruggiero.it
Ricevo e inoltro
m.
-------- Forwarded Message --------
Subject: Postdoc postions
Date: Wed, 24 Apr 2024 09:01:00 +0000
From: Xue-Mei Li <xue-mei.li(a)epfl.ch>
Applications are invited for two or more postdoctoral positions in
mathematics at EPFL. The successful candidates will be working on topics
in Stochastic Analysis. The initial duration of the position is 2 years
with a flexible starting date. Screening begins in May.
The position offers excellent research conditions, opportunity to
interact with a world-leading group in probability and stochastic
analysis, and the chance to supervise research projects. It also comes
with a competitive salary and a beautiful working environment on the
shore of Lake Geneva.
Further details can be found at
https://www.mathjobs.org/jobs/list/24521
Dear colleagues,
we are pleased to announce that the second edition of the summer school
"Frontiers of Energy Econometrics" (https://toee.lakecomoschool.org/)
will be held from 9 to 12 September 2024 at the Como Lake of Advanced
Studies, located at the Villa del Grumello in Como.
The focus of this edition will be on forecasting and will include
lectures, tutorials and group work.
*Deadlines*:
* Student application: 10 May 2024
* Notification of acceptance: 15 May 2024
* Registration and payment for accepted students: 26 May 2024
Please spread the word among your contacts, especially PhD students and
post-docs.
The organizers
--
--
Prof. Luca Rossini
Associate Professor in Statistics,
Department of Economics, Management and Quantitative Methods
University of Milan (Statale), Italy
email:luca.rossini87@gmail.com;luca.rossini@unimi.it
skype: luca.rossini14
web:https://rossiniluca.github.io/web/