Dear all,
this is a reminder and update of the schedule of the
4TH CARLO ALBERTO STOCHASTICS WORKSHOP
on
FUNCTIONAL METHODS IN INFORMATION GEOMETRY
-------------------------------
The workshop is organised by the "de Castro" Statistics Initiative in collaboration with Collegio Carlo Alberto.
The meeting will take place on April 18-19 2019 at Collegio Carlo Alberto, room 3, Piazza Arbarello 8, 10122 Torino. It will open at 14:00 on April 18 and proceed with the following schedule:
18/04
- 14:30 G. Pistone ("de Castro" Statistics Initiative, Collegio Carlo Alberto): Tutorial
- 16:00 G. Savaré (University of Pavia): Entropic optimal transport and Hellinger-Kantorovich distance
19/04
- 10:00 J. Naudts (University of Antwerp): An alternative approach to Quantum Information Geometry
- 11:00 Contributed papers and discussion
All interested parties are invited to attend. No registration is required. For more information and abstracts, please refer to the following web-pages:
www.carloalberto.org/event/4th-carlo-alberto-stochastics-workshop/ <http://www.carloalberto.org/event/4th-carlo-alberto-stochastics-workshop/>
www.giannidiorestino.it/ <http://www.giannidiorestino.it/>
Best regards
Matteo Ruggiero
---
Matteo Ruggiero
University of Torino and Collegio Carlo Alberto
www.matteoruggiero.it <http://www.matteoruggiero.it/>
Cari colleghi,
nell’ambito del programma di Visiting Professors per la Laurea Magistrale
in Stochastics and Data Science dell’Università di Torino
https://www.master-sds.unito.it/ siamo lieti di annunciare il seguente
corso:
------------------------------------------------
Luis Alberiko Gil Alaña
School of Economics and Business Administration
University of Navarra, Pamplona, Spain
FREQUENCY DOMAIN AND SPECTRAL ANALYSIS.
------------------------------------------------
Il corso è rivolto agli studenti del primo anno della LM in in Stochastics
and Data Science ma la partecipazione è aperta a tutti gli interessati.
Il corso si terrà nell’aula 12 al terzo piano di Corso Unione Sovietica
218/bis, 10134, Torino, secondo il seguente calendario:
7 Maggio: 11:15-13:15
9 Maggio: 11:15-13:15
10 Maggio: 11:15-13:15
14 Maggio: 11:15-13:15
16 Maggio: 11:15-13:15
17 Maggio: 11:15-13:15
21 Maggio: 11:15-13:15
23 Maggio: 11:15-13:15
Il programma completo di Visiting Professors è consultabile alla pagina
https://www.master-sds.unito.it/do/home.pl/View?doc=visitingprofessors.html
Questa iniziativa è supportata da Fondazione CRT, Torino e dalla "de
Castro" Statistics Initiative del Collegio Carlo Alberto (
www.carloalberto.org/stats).
Cordiali saluti,
I coordinatori del Corso di Studi
Laura Sacerdote e Matteo Ruggiero
--
%-------------------------------------------------------
Elvira Di Nardo
Dept. Mathematics "G. Peano"
University of Torino
Via Carlo Alberto 10
10123 Torino, Italia
tel. +39 0116702862
fax +39 0116702878
http://www.elviradinardo.it
%-------------------------------------------------------
<http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_cam…>
Mail
priva di virus. www.avg.com
<http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_cam…>
<#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>
Dear Colleagues,
At AMMCS 2019 in Waterloo, Ontario, Canada, August 18-23, 2019, with Taisei
Kaizoji (ICU Tokyo), I am organising a special session on:
The Mathematics and Statistics of Wealth and Income Distributions
Research on microscopic stochastic models of economic systems and their
kinetic, mean-field and hydrodynamic limits have recently gained a lot of
momentum. The focus of this special session is to highlight recent advances
on stochastic, kinetic and PDE modelling in the area of wealth and income
distributions as well as methodologies for model estimates, including
Bayesian techniques.
The deadline for submission of abstracts is 30 April 2019.
Useful links:
Conference webpage: http://ammcs.wlu.ca/
Special session webpage: http://ammcs.wlu.ca/special-sessions/mswid/
Deadlines: http://ammcs.wlu.ca/deadlines-payment/
Please, feel free to forward this message to interested persons.
Best regards,
Enrico Scalas
Professor of Statistics and Probability
Department of Mathematics
University of Sussex, UK
Cari colleghi,
nell’ambito del programma di Visiting Professors per la Laurea Magistrale in Stochastics and Data Science dell’Università di Torino
https://www.master-sds.unito.it/
siamo lieti di annunciare il seguente corso:
------------------------------------------------
Yosef Rinott (Hebrew University of Jerusalem, Israel and LUISS, Italy)
LEVY PROCESSES
------------------------------------------------
Il corso è rivolto agli studenti del primo anno della LM in in Stochastics and Data Science ma la partecipazione è aperta a tutti gli interessati.
Il corso si terrà nell’aula 12 al terzo piano di Corso Unione Sovietica 218/bis, 10134, Torino, secondo il seguente calendario:
2 maggio: 9:15-11:15
7 maggio: 16:00-18:00
8 maggio: 14:00-16:00
10 maggio: 9:15-11:15
14 maggio: 16:00-18:00
15 maggio: 14:00-16:00
17 maggio: 9:15-11:15
21 maggio: 16:00-18:00
Il programma completo di Visiting Professors è consultabile alla pagina
https://www.master-sds.unito.it/do/home.pl/View?doc=visitingprofessors.html
Questa iniziativa è supportata da Fondazione CRT, Torino e dalla "de Castro" Statistics Initiative del Collegio Carlo Alberto (www.carloalberto.org/stats).
Cordiali saluti,
I coordinatori del Corso di Studi
Laura Sacerdote e Matteo Ruggiero
---
Matteo Ruggiero
University of Torino and Collegio Carlo Alberto
www.matteoruggiero.it
Dear Colleagues,
a special sessions’ stream entitled Networks, Big Data, and Artificial
Intelligence in Economics, Finance, and Social Sciences will take place
during the AMASES Annual Conference, which will be held in Perugia on
September 9-11, 2019 (http://amases2019.unipg.it).
The special sessions’ stream focuses on the emerging multidisciplinary
study of the interconnections in finance and social science, which brings
with it the necessity to deal with the growing amount of data available. A
special emphasis is given to latest advances in artificial intelligence and
machine learning, which are expected to have disruptive impact in
economic, financial, and social data modeling. The stream intends to foster
the dialogue between academics, regulators, and practitioners.
Theoretical and empirical papers are welcome. Topics include but are not
limited to:
- contagion in social, economic, and financial networks
- network modeling of financial time-series
- big data approach to financial, economic, and social modeling
- artificial intelligence and machine learning in social, economic, and
financial systems
It is a great pleasure to invite you to submit an extended abstract. To be
considered for the stream, please submit your abstract by specifying in the
filename the stream code and the appropriate session, namely
- Networks (NBDAI-NW)
- Big Data (NBDAI-BD)
- Artificial Intelligence (NBDAI-AI)
in the file name. For example, for a paper in the Networks session use the
file name (NBDAI-NW-[surname of author who will present the paper].pdf).
Please refer to the official web page of the conference for further details
on the submission.
Important dates:
May 1, 2019: deadline for abstract submission
June 10, 2019: notification of acceptance
June 17, 2019: early registration
July 1, 2019: late registration
For information, please contact:
Giacomo Bormetti (giacomo.bormetti(a)unibo.it)
Fabrizio Lillo (fabrizio.lillo(a)unibo.it)
Michele Tumminello (michele.tumminello(a)unipa.it)
We are looking forward to meeting you in Perugia.
Best regards
Giacomo Bormetti, Fabrizio Lillo, and Michele Tumminello
----------------------------------------
Fabrizio Lillo
Dipartimento di Matematica
Università di Bologna
ITALY
Personal website: fabriziolillo.wordpress.com
University website: www.unibo.it/sitoweb/fabrizio.lillo
<http://fabriziolillo.wordpress.com/>
phone: +39 050509159
Dear all,
I invite you to the seminar "Deep learning volatility", that will be given
by Dr. Blanka Horvath (King's College - Londra), next Tuesday at 11.30, in
room 2BC30 of the Mathematics Department in Padova.
The abstract follows:
* Abstract:
We present a consistent neural network based calibration method for a
number of volatility models-including the rough volatility family-that
performs the calibration task within a few milliseconds for the full
implied volatility surface.
The aim of neural networks in this work is an off-line approximation of
complex pricing functions, which are difficult to represent or
time-consuming to evaluate by other means. We highlight how this
perspective opens new horizons for quantitative modelling: The calibration
bottleneck posed by a slow pricing of derivative contracts is lifted. This
brings several model families (such as rough volatility models) within the
scope of applicability in industry practice. As customary for machine
learning, the form in which information from available data is extracted
and stored is crucial for network performance. With this in mind we discuss
how our approach addresses the usual challenges of machine learning
solutions in a financial context (availability of training data,
interpretability of results for regulators, control over generalisation
errors). We present specific architectures for price approximation and
calibration and optimize these with respect different objectives regarding
accuracy, speed and robustness. We also find that including the
intermediate step of learning pricing functions of (classical or rough)
models before calibration significantly improves network performance
compared to direct calibration to data.
The talk is based on joint work with A. Muguruza an M. Tomas, available
here:
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3322085
See you there (if interested!),
Giorgia
--
Giorgia Callegaro
Assistant Professor
Department of Mathematics - University of Padova
Via Trieste 63 , I-35121 Padova - ITALY
Tel: +39-0498271481 Fax: +39-0498271499
E-Mail: gcallega(a)math.unipd.it
<https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#>
Personal web-page: https://sites.google.com/site/giogiocallegaro/Home
Luned' 15 Aprile avremo il seguente seminario in Aula di Consiglio
(Dipartimento di Matematica, La Sapienza, Roma), alle ore 16.00:
Speaker: Marco Romito (Universita' di Pisa).
Title: Fluctuations for point vortices
Abstract: The first part of the presentation is a short review of a
statistical mechanics model of point vortices for the 2D Euler equations
and their mean field limit. In the second part we outline a proof of
Gaussian fluctuations from the mean field limit. The result holds on the
torus, on the sphere and on bounded domains. This is a work in
collaboration with Francesco Grotto (Scuola Normale Superiore, Pisa).
saluti
alessandra
*************************************************
Prof. Alessandra Faggionato
http://www1.mat.uniroma1.it/~faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 5, Phone (0039) 06 49913252
*************************************************
*This is a kind reminder. Apologies for cross posting*
CLADAG 2019 <http://cladag2019.unicas.it/>: Paper submission deadline *April
12, 2019*
12th Conference of the Classification and Data Analysis Group (CLADAG)
<http://cladag.it/>
of the Italian Statistical Society <https://www.sis-statistica.it/>
11 - 13 September 2019
Cassino (Italy)
University of Cassino and Southern Lazio
We are glad to announce a rich list of keynotes
<http://cladag2019.unicas.it/keynote-speakers/> and invited speakers
<http://cladag2019.unicas.it/invited-sessions/>.
KEYNOTES:
Christophe Biernacki, University of Lille
Adrian Bowman, University of Glasgow
Bettina Grün, Johannes Kepler Universitat Linz
Francesco Mola, University of Cagliari
Sylvia Richardson, University of Cambridge
INVITED (amongst many others):
Alan Agresti, Anthony Atkinson, Rasmus Bro, Karel Hron, Mia Hubert,
Geoffrey McLachlan, Irene Moustaki, Brendan Murphy, Peter Rousseeuw, Linda
D Sharples, Weixin Yao...
*Bring your own contribution to CLADAG 2019! *
Watch the video!
http://cladag2019.unicas.it/download-files/cladag-promo-video.mp4
Francesca Greselin
*Chair **Scientific Program Committee*
Giovanni Porzio
*Chair **Local Organizing Committee*
---------- Forwarded message ----------
Date: Tue, 9 Apr 2019 15:18:58 +0000
From: "Kiesel, R?diger" <Ruediger.Kiesel(a)uni-due.de>
To: Tiziano Vargiolu <vargiolu(a)math.unipd.it>
Subject: FW: Updated Call-for-Papers DGF Annual Meeting 2019
Dear Tiziano,
could you please send that around?
Cheers,
Ruediger
From: dgf2019 <dgf2019(a)wiwinf.uni-due.de>
Date: Tuesday, 9. April 2019 at 15:53
Subject: Updated Call-for-Papers DGF Annual Meeting 2019
Dear Colleagues,
This is to remind you that the submission deadline is April 26, 2019 for the
26th Annual Meeting of the German Finance Association (DGF) to be held at
University of Duisburg-Essen (Campus Essen) on September 27-28, 2019.
Furthermore, please note that in addition to the keynote speech by Bob
Litterman, Kepos Capital, there will be an invited econophysics session with
talks by Jean-Philippe Bouchaud, Fabrizio Lillo and Damien Challet.
Early bird registration is possible until June 28, 2019, which is one week
after acceptance/rejection notifications are sent out.
For more information on the program, paper submission and conference
registration please visit https://www.dgf2019.wiwi.uni-due.de/home/.
Kind regards
R?diger Kiesel
on behalf of the
DGF 2019 Organizing Committee
26th Annual Meeting of the German Finance Association (DGF)
https://www.dgf2019.wiwi.uni-due.de/home/