Cari colleghi,
vi scrivo perché mi sono trasferito da 6 mesi in Romania, a Cluj-Napoca al
RIST (www.rist.ro/en.html), un istituto privato no profit dove ho ottenuto
un grant di 4 anni co-finanziato dall'Europa, per implementare il progetto
di ricerca
DeepRiemann "Riemannian Optimization Methods for Deep Learning".
Ho diverse posizioni aperte per postdoc, e sto cercando giovani in gamba,
con background in matematica (geometria differenziale e ottimizzazione
Riemanniana), computer science, statistica, etc etc, per creare un gruppo
qui a Cluj che si occuperà di Machine Learning e Ottimizzazione
www.luigimalago.it/group.html
Gli argomenti del progetto includono:
*information geometry (differential geometry applied to statistical
manifolds)
*manifold optimization and second-order Riemannian optimization
*machine learning and deep learning (using Riemannian methods)
Vi chiederei gentilmente di inoltrare il messaggio a chi secondo voi
potrebbe essere interessato ad una delle posizione
Gli annunci sono disponibili alla seguente pagina:
www.luigimalago.it/postdocs_th.htmlwww.luigimalago.it/postdocs_dl.html <http://luigimalago.it/postdocs_dl.html>
grazie mille,
Luigi Malagò
I'm forwarding this annoucement for people eventually interested.
Kind Regards,
Carlo Sgarr*a*
This is the second announcement for the
*10th European Summer School in Financial Mathematics*
*"Rough Volatility and Transaction Costs"*
which will be held at TU Dresden in Dresden, Germany from August 28 -
September 1, 2017.
Mini-courses will be given by
Jim Gatheral
Johannes Muhle-Karbe
Mathieu Rosenbaum
Walter Schachermayer
More detailed information on the summer school and instructions for
application can be found at: https://www.math.tu-
dresden.de/euroschoolmathfi17
*The application deadline has been extended to April 30, 2017*. Successful
applicants will be sponsored for travel (within Europe) and accommodation.
Please bring the announcement to the attention of PhD-students and other
researchers who may be interested to attend.
Martin Keller-Ressel,
for the organizing committee: Bruno Bouchard, Stefano De Marco, Martin
Keller-Ressel, Mathieu Rosenbaum, Nizar Touzi
(Apologies if you have received this email in duplicate)
Seminario di probabilità e statistica matematica
Aula di Consiglio, Dipartimento di Matematica Guido Castelnuovo
Lunedì 3 aprile, ore 16:00
Mauro Piccioni (Università di Roma La Sapienza)
terrà una conferenza dal titolo:
How it happened (to me) to meet ?
Summary: The function ? was defined by Minkowski with the purpose of mapping quadratic irrationals bijectively onto the rationals of (0,1) (in addition, it maps the rationals onto the dyadic rationals). It has remarkable self-similarity properties and it maps (increasingly) the interval [0,1] into itself, with an almost everywhere vanishing derivative. For this reason it has been named the slippery devil’s staircase (to distinguish it from the Cantor set distribution function, which, not being strictly increasing, is not slippery!). In the talk we will obtain it as the equilibrium law of a random walk on the homogeneous space (H,PSL_2(Z)) where H is the upper half-plane in the complex plane and PSL_2(Z) is the modular group. The random walk walk drifts towards the real line with a limit in law X whose image under the function |x|v|x|^{-1} has distribution function ?. In proving this, the characterization of a ?-distributed random variable Y in term of its continued fraction expansion is also obtained. This is a joint work with Gerard Letac.
Tutti gli interessati sono invitati a partecipare. Per informazioni rivolgersi a piccioni(a)mat.uniroma1.it
----------------------------------------------------------------
Gustavo Posta
Dipartimento di Matematica
Università di Roma "la Sapienza"
P.le A. Moro 2, 00185 Roma
Italy
web: http://www1.mat.uniroma1.it/~posta
e-mail: gustavo.posta(a)uniroma1.it
phone: +39-06-4991-4969
------------------------------------------------------------------
Dear all,
this is to invite you to the PhD course which will be given next
week by Costantinos
Kardaras (LSE) at the Mathematics Department of the University of Padova.
All the details follow:
*Title*: *Growth optimality and recent applications to probability*
*Timetable*:
- April 3rd, 2017, 16:30 - 18:00 Torre Archimede, Room 2BC/30
- April 4th, 2017, 16:30 - 18:00 Torre Archimede, Room 2BC/30
- April 5th, 2017, 16:30 - 18:00 Torre Archimede, Room 2BC/30
- April 6th, 2017, 16:30 - 18:00 Torre Archimede, Room 2BC/30
- April 7th, 2017, 16:00 - 17:30 Torre Archimede, Room 2BC/30
*Course requirements*: Probability and Stochastic Calculus
*SSD*: MAT/06 and SECS-S/06
*Aim*: This course aims at providing an overview on recent developments in
the Mathematical Finance research field, having as a central idea in mind
the role of the growth optimal portfolio. Course contents: These lectures
will touch upon recent developments in the applied probability, and more
precisely mathematical finance. The vessel that is used to connect
different topics is that of growth optimality, a notion that has proved
extremely fruitful. A representative collection of what will be covered are
applications in arbitrage theory, constrained optimisation, filtration
enlargement, and semimartingale theory. Other areas of application, such as
economics, robust optimisation, and even functional analysis, will be also
discussed (if time permits).
Thanks and have a nice day,
Giorgia Callegaro
--
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
The list of Invited Sessions for the Cladag2017 International Conference
<http://www.cladag2017.unimib.it/>, including three exciting Keynote Talks,
given by Antony Davison, J. Sunil Rao and Roberto Rocci, are currently
available.
Researchers interested in *classification, clustering, data analysis,
multivariate analysis, computational statistics and their applications *are
invited to participate.
The conference will take place at the University of Milano-Bicocca in
Milan, from 13-15 September.
Invited sessions will include:
Statistical models for complex extremes
Classified Mixed Model Prediction
New methods for clustering ordinal data
Classification models in economics and business
Advances in Classification and Clustering of Complex Data
Network Analysis with applications on biological, financial and
social networks
Advances in Functional data analysis
Heterogeneity and new statistical models
Advances in Ordinal and Preference Data
Advances in Biostatistics
Innovative applications of multidimensional scaling and related techniques
Latent class analysis
Classification and Visualization
Advances in Credit Risk Modeling
Robust Clustering
Designing clinical trials
Big data and Design of Experiments
Submissions for contributed, as well as invited talks, are currently open
<http://www.cladag2017.unimib.it/registration-and-submission/submission/>, with
a deadline of *31 March*. Talks can be one any topic related to
statistics, data classification and the analysis of data. Submissions for
posters are also welcomed.
Registration for the conference is open
<http://www.cladag2017.unimib.it/registration-and-submission/registration/>,
with
early booking discounts available until *30 May*.
Francesca Greselin
Chair of the Organizing Committee
Dear all,
Professor A. Cerny from Cass will be visiting LUISS and on
Tuesday April 4, at 12 in Room A410 -- viale Romania
he will give the following seminar:
*Optimal trade execution under endogenous pressure to liquidate: theory and
numerical solutions*
We study optimal liquidation of a large trading position in a market with a
temporary price impact. We endogenize the pressure to liquidate and hence
allow the time horizon of liquidation to be determined endogenously, as
part of the optimal strategy. The corresponding HJB equation leads to a
severely singular initial value problem whose numerical solution we also
study. In contrast to much of the existing literature spreading the
liquidation strategy over a longer horizon is not necessarily beneficial to
the trader.
Joint work with Pavol Brunovský and Ján Komadel, Comenius University
Bratislava
--
Sara Biagini, Professor of Mathematical Finance
Department of Economics and Finance
LUISS Guido Carli
Address: viale Romania, 32 - 00197 Roma
Web: http://sites.google.com/site/sarabiagini/
Nell'ambito del ciclo di seminari del Dipartimento
di Scienze per l'Economia e l'Impresa (DISEI) dell'Universita' di
Firenze
Martedì 28 Marzo 2017 (Edificio D6/Aula Bracco) ore 14.00
Imma Curato (Ulm University)
terrà un seminario dal titolo:
"Statistical inference of supOU and mixed moving average processes"
-----
Tutti gli interessati sono cordialmente invitati a partecipare.
La lista dei seminari Disei è raggiungibile al seguente indirizzo:
http://www.disei.unifi.it/vp-104-seminari.html
Dear Colleague,
I would be grateful if you could bring to the attention of your best
students the new edition 2017-2018 of the PhD Program in Economics
offered by the Ca' Foscari University of Venice.
The PhD Program in Economics aims at training selected students for a
career as economists in academic institutions or in research departments
of national and international organizations, public institutions,
private corporations, central banks, financial institutions. Here
<http://www.unive.it/pag/fileadmin/user_upload/scuole/graduate/documenti/201…>
you can find the first placement of last years' PhDs.
The considerable diversification of research areas covered by the
members of Department of Economics and their international reputation
provide an excellent environment where students of most fields in economics
can find research ideas and tight guidance for their doctoral studies.
The PhD program has a duration of _four years.__
___
For the academic year 2017-2018, 5 positions are available, all of them
come with a scholarship (around 13,700 € per year).
Deadline for application is *April 27th* 2017, 13h00 (Italian time).
Information and application procedure can be found at
http://www.unive.it/phdapplication <http://www.unive.it/phdapplication>
Information on the PhD in Economics can be found at
http://www.unive.it/phdeconomics <http://www.unive.it/phdeconomics>
Any questions on the program may be addressed to sse(a)unive.it
<mailto:sse@unive.it>
I also attach to this email a flyer I would be grateful if you could
print and post in your department.
Finally, two ExSIDE doctoral position based in Venice are still open.
ExSIDE is an innovative training program that will give successful
applicants a double/joint PhD degree from two universities. Project n. 2
deals with experimental economics in broad sense; project
n. 15 will develop agent-based models of tax evasion. Further details
can be found at http://exside-itn.eu/ . Successful candidates will get a
generous scholarship (the gross
monthly wage is above 3000€).
Thank you for your cooperation
Best regards
Antonella Basso
--
Antonella Basso
Prorettore alla Programmazione e Valutazione - Prorector at Planning and Valuation
Dipartimento di Economia
Università Ca' Foscari Venezia
Fondamenta S. Giobbe - Cannaregio 873
30121 Venezia - Italy
Tel. +39-041-2346914
E-mail address: basso(a)unive.it
Web page: http://www.unive.it/data/persone/5591751
Si avvisa che in data 06-04-2017, alle ore 14:00 precise,
presso l'Aula Seminari "F. Saleri" VI piano - Dipartimento di
Matematica, Politecnico di Milano,
nell'ambito delle iniziative MOX, si svolgerà il seguente seminario:
Relatori:
Eva Fiserova e Karel Hron, Palacky University, Olomouc, Czech Republic
Titolo:
Regression analysis for compositional data from perspective of the
logratio approach
Sommario:
Regression analysis is an important tool for analysing the relationships
between the response variable and known explanatory variables. When the
response variables or explanatory variables are
compositional, i.e. multivariate observations carrying only relative
information (proportions, percentages),
a special treatment in regression is necessary. Compositional data are
characterized by the simplex sample space with the Aitchison geometry
that forms the Euclidean structure. Proper statistical methodology for
this kind of observations is the logratio methodology that enables to
express the data isometrically in the real Euclidean space where it is
possible to apply standard statistical tools (Aitchison, 1986;
Pawlowsky-Glahn et al., 2015). The lecture is focused on three main
regression tasks, where compositional data are involved: either
regression with a compositional response variable, or regression with
compositional explanatory variables, or regression between parts of a
composition. The main methodological approach for dealing with
compositional regression is based on orthonormal logratio coordinates.
Although regression models in orthonormal logratio coordinates are
theoretically well justified, both the normalizing constants to reach
orthonormality and the natural logarithm itself result in quite a
complex interpretation of the regression parameters. In the lecture, we
will present new orthogonal logratio coordinates (Muller et al., 2017)
in order to achieve better interpretability of regression parameters
while preserving all important features of regression models for
compositional data. Theoretical results will be applied to real-world
examples.
Docente di riferimento:
Alessandra Menafoglio, alessandra.menafoglio(a)polimi.it
Tutti gli interessati sono invitati a partecipare.
Cordiali saluti,
Laura Sangalli
--
Laura Maria Sangalli
MOX - Dipartimento di Matematica
Politecnico di Milano
Piazza Leonardo da Vinci 32
20133 Milano - Italy
tel: +39 02 2399 4554
fax: +39 02 2399 4568
email: laura.sangalli(a)polimi.it
url: http://mox.polimi.it/~sangalli