Ricevo e inoltro il messaggio relativo a una borsa di dottorato.
Gli interessati sono pregati di contattare Laurent Miclo entro il 6 giugno
2016
PhD opening
Title: Study of the CSMA-QB access protocol
Keywords: Convergence and long-time behavior of Markov processes,
functional limit theorems, stochastic networks, independent sets
Co-supervision: Laurent Miclo
http://perso.math.univ-toulouse.fr/miclo/
Institut de Mathematiques de Toulouse, Universite Paul Sabatier, Toulouse
Florian Simatos
http://personnel.isae.fr/florian-simatos/
Departement d’Ingenierie des Systemes Complexes, ISAE–Supaero, Toulouse, et
Institut
de Mathematiques de Toulouse, Universite Paul Sabatier, Toulouse
Contact: laurent.miclo(a)math.univ-toulouse.fr
Localisation: ISAE–Supaero and Universite Paul Sabatier, Toulouse
Summary of the project
Context. The performance of wireless networks where users share the air as
communication medium is
strongly limited by the electromagnetic interference phenomenon: two users
who are close and communicate
on the same frequency will interfere, which may potentially lead to losing
the information transmitted.
Access protocols are here to mitigate this effect and thus play a key role
in the performance of modern
>From a scientific standpoint, this is a challenging problem that has
attracted considerable attention from
both the computer science and applied probability communities for more than
30 years. Recently, a new
class of access protocols – called adaptive CSMA protocols – has emerged,
and which seems very promising.
These protocols were for instance shown to enjoy the very desirable
property of being maximally stable.
The goal of this project is to advance the state-of-the-art on the
particular adaptive CSMA protocols called
CSMA-QB protocols (where QB stands for Queue-Based), which to date is very
limited. In particular, we
will aim to prove theoretical results that shed light on the achievable
trade-off between throughput and delay.
Probabilistic model. From a technical standpoint, we will study the
following model. Each user of the network
is represented by the node of a graph G, called interference graph, and
such that two neighboring nodes
cannot be active simultaneously. Packets to be transmitted arrrive at each
node over time, and the goal is
to choose which nodes are active at every moment.
CSMA-QB solves this problem in the following manner: when a node is active,
it de-activates at a constant
rate and when it is active and none of its neighbors is, then it activates
at a rate that depends on the number
of packets in its backlog. The dependency is given by a function ψ called
activation function.
The general goal of the thesis is to understand the influence of the
topology G and of the choice of ψ
on the protocol performance. This involves classical probabilistic tools,
and we will in particular study the
mixing time of Glauber dynamic as well as the stochastic averaging
property, both of which play a key role
in the analysis of this protocol.
Lun 13 Giu, ore 15:00
aula: Aula Arzelà - Dipartimento di Matematica
piazza Porta S. Donato, 5, Bologna
Aldo Procacci (Dipartimento di Matematica - Universidade Federal de Minas Gerais - Brasile)
terrà un seminario dal titolo
Convergence of the Mayer and Virial expansions and the Penrose tree-graph identity
organizzato da: Massimo Campanino
https://www.dm.unibo.it/seminari/
5x1000 AI GIOVANI RICERCATORI
DELL'UNIVERSITÀ DI BOLOGNA
Codice Fiscale: 80007010376
Salve,
scrivo per annunciare che è uscito il quaderno dell'Unione Matematica
Italiana di cui sono autrice:
"Introduzione alla nozione di convergenza stabile e sue varianti",
Quaderni dell'Unione Matematica Italiana,
numero 57 (2016),
ISBN 978-88-96336-22-9
costo 20 euro
Chiunque sia interessato può acquistare il quaderno presso
la segreteria dell'Unione Matematica Italiana
tel.+39 051 243190
http://umi.dm.unibo.it/
Cordiali saluti,
Irene Crimaldi
IMT School for Advanced Studies Lucca
Seventh Italian Congress of Econometrics and Empirical Economics (ICEEE
2017)
The Italian Econometric Association (SIdE) is pleased to announce the
Seventh Italian Congress of Econometrics and Empirical Economics (ICEEE
2017), which will take place January 25-27, 2017, in Messina, Italy.
Economists, statisticians and econometricians are invited to submit
theoretical and applied papers in all areas of econometrics and
empirical economics.
Invited speakers: Maria Cristina De Nardi (University College London,
Federal Reserve Bank of Chicago, IFS and NBER), Lucrezia Reichlin
(London Business School).
Conference webpage: http://virgo.unive.it/side/?page_id=1745
Submission of papers is now possible via Easychair: **
https://easychair.org/conferences/?conf=iceee7th
(with a limit of one paper per submitter) at
https://easychair.org/conferences/?conf=iceee7th. The deadline for
submission is September 30, 2016. The decision notification date is
November 20, 2016.
Program Committee: Erich Battistin (Queen Mary University of London),
Monica Billio (Ca’ Foscari University of Venice - Chair), Fabio Canova
(BI Norwegian Business School), Roberto Casarin (Ca’ Foscari University
of Venice), Giuseppe Cavaliere (University of Bologna), Massimiliano
Caporin (University of Padua), Valentina Corradi (University of
Warwick), Fulvio Corsi (Ca’ Foscari University of Venice), Walter
Distaso (Imperial College London and University of Messina), Luca
Fanelli (University of Bologna), Mario Forni (University of Modena and
Reggio Emilia), Raffaella Giacomini (University College London), Tullio
Jappelli (University of Naples “Federico II”), Simone Manganelli
(European Central Bank, Frankfurt), Raffaele Miniaci (University of
Brescia), Chiara Monfardini (University of Bologna), Edoardo Otranto
(University of Messina), Franco Peracchi (University of Rome “Tor
Vergata”), Elena Pesavento (Emory University), Francesco Ravazzolo (Free
University of Bozen), Barbara Rossi (ICREA-Universitat Pompeu Fabra,
Barcelona GSE and CREI), Eduardo Rossi (University of Pavia and European
Commission Joint Research Center), Alessandro Tarozzi (Universitat
Pompeu Fabra and Barcelona GSE).
Local organizing Committee: Walter Distaso (Imperial College and
University of Messina – Chair), Leone Leonida (University of Messina and
King’s College), Dario Maimone Ansaldo Patti (University of Messina)
Prizes: One prize of Euro 1,500 will be awarded to the best conference
paper written by young scientists in Macroeconometrics or Financial
Econometrics (Carlo Giannini Prize, offered by SIdE). One prize of Euro
2,500 will be awarded to the best conference paper written by young
scientists in Theoretical or Applied Microeconometrics (Labour Prize,
offered by LABOUR: Review of Labour Economics and Industrial Relations).
For eligibility to both prizes, all authors of a paper must be no more
than 4 years past the PhD defense.
Dear all,
I am writing to let you know about the call for *PhD scholarships* at the
IMT School for Advanced Studies Lucca (www.imtlucca.it), specifically the
curriculum in *Economics, Management and Data Science*. This year the
School is offering 34 positions for the Program, and admitted students
- in addition
to free room and board - will also receive a research scholarship which
amounts to approximately €13,600/year. Interested candidates must fill out
the online application form (
https://www.imtlucca.it/phd/prospective/admission) by the deadline of July
13th 2016, 6 pm Italian time.
Best wishes,
Irene Crimaldi
IMT School for Advanced Studies Lucca
*Economics, Management and Data Science (EMDS) curriculum *
*within the 2016/17 PhD program at the IMT School for Advanced Studies
Lucca*
Perspective students should preferably have a master-level background in
economics, management science, physics, mathematics, statistics, computer
science, engineering or in a related field.
Under the Direction of Prof. Massimo Riccaboni, this curriculum provides
participants with a solid knowledge base in analytical methods in economics
and management science. With its multidisciplinary approach, the curriculum
is unique in its deployment of a strong integration of concepts, analytical
foundations, and practical expertise, to educate a new professional élite
with distinctive capabilities in analyzing, visualizing, interpreting, and
managing complex problems in economics and management. Graduates are
trained as future leaders in policy and industry.
Students are involved in the analysis of real world big/high dimensional
data, in collaboration with companies and institutions. The curriculum
relies on distinctive competences at IMT in economics, political economy,
management science and analytics, computer science, applied mathematics,
statistics, network theory, and system engineering/operation research.
Specific fields of study are economic networks and network industries;
healthcare and pharmaceuticals; systemic risk analysis; economics and
finance; political economy; organization, entrepreneurship, and technology;
strategy; marketing science; critical infrastructures; systems modeling and
optimization; stochastic systems; production and operations. Close
associations with a selected set of companies and institutions provide the
opportunity to analyze relevant problems, motivating new analytical
techniques from practical problem solving.
Courses are led by world-renowned researchers and provide students with all
the theoretical skills and advanced tools required for rigorously tackling
a multitude of analysis, design and management problems within the broad
framework of systems analysis in economic, social, scientific,
technological and cultural domains. Specialized faculty and staff create a
network that provides key guidance and support throughout the PhD Program.
Working closely with faculty, both in the classroom and in the development
of research, students reach the highest levels of scholarly achievement.
IMT School PhD graduates will be able to use the skills they acquired
during their studies to recognize and resolve complex problems, to choose
the most appropriate method or instrument to utilize when approaching these
problems, even in disciplines outside of their primary field of research.
All students are based in the recently restored San Francesco complex, a
fully integrated Campus in the historical center of the beautiful Tuscan
city of Lucca. The Campus includes renewed residential facilities, an
on-site canteen, study and living rooms, a state-of-the-art library and
outdoor recreational spaces, which foster a unique cultural, professional
and social environment for our doctoral program. Admitted students, in
addition to free room and board, will also receive a research scholarship
which amounts to approximately €13,600/year. Additional funding for
research stages also will be provided.
The PhD program at the IMT School attracts students from around the world,
providing a truly international environment. English is the official
language of the School. Moreover, all students will have the opportunity to
spend periods abroad at research institutes, laboratories or universities,
both within the Erasmus+ framework and through ad hoc mobility agreements.
Most IMT School PhD Graduates have reached prominent roles in academics,
governmental institutions, public and private companies or professions
across the globe.
To find out more about the School, the admission requirements and how to
apply, please see www.imtlucca.it/phd Find the IMT School on Facebook,
Twitter, LinkedIn and YouTube for the latest news.
Si avvisa che in data 17/6/2016, alle ore 15:00,
presso Aula Seminari "Saleri" VI Piano, Dipartimento di Matematica, Politecnico di Milano,
nell'ambito delle iniziative MOX, si svolgerà il seguente seminario:
Relatore:
Matthew Reimher, Department of Statistics, Penn State University
Titolo:
A Geometric Approach to Confidence Regions and Bands for Functional Parameters
Abstract:
Functional data analysis, FDA, is now a well established discipline of statistics, with its core concepts and perspectives in place. Despite this, there are still fundamental statistical questions which have received relatively little attention. One of these is the systematic development of techniques for constructing confidence regions for functional parameters. I will present new work that takes a geometric approach to developing, understanding, and visualizing such regions. Simulations and an application to Fractional Anisotropy will also be presented.
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
Si avvisa che in data 01-06-2016, alle ore 14:30 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
Relatore:
Adam Kashlak, Cambridge University
Titolo:
Inference on covariance operators via concentration inequalities
Abstract:
Inference on covariance operators is an important part of functional
data analysis. Panaretos, Kraus, and Maddocks (2010) compare covariance
operators for Gaussian process data. Pigoli, Aston, Dryden, and Secchi
(2014) consider a variety of metrics over the space of covariance
operators. In this talk, we propose a novel approach to the analysis of
covariance operators making use of concentration inequalities. First,
non-asymptotic confidence sets are constructed for such operators. Then,
subsequent applications including a k sample test for equality of
covariance, a functional data classifier, and an
expectation-maximization style clustering algorithm are derived and
tested on both simulated and phoneme data.
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
AVVISO SEMINARI
Per martedi' 31 maggio sono programmati i seguenti seminari nell'area
probabilita'/finanza presso il Dipartimento di Matematica dell'Universita' di
Padova; si svolgeranno nell'aula seminari al VII piano
della Torre B.
Ore 14.30:
Prof. Yuliya Mishura
Taras Shevchenko National University of Kyiv
Title: Gaussian processes that are generalized quasi-helices and their
properties
Abstract:
We consider several problems for Gaussian processes which are, in some
sense, the generalizations of fractional Brownian motion. Three problems
are considered: the behavior of the maximal functionals, the
representation results and some statistical results. We investigate the
asymptotic behavior of maximal functionals under critical values of the
parameters of the corresponding quasi-helix, give the representations of
the random variables via the integration w.r.t. Gaussian processes and
explain how to construct and investigate unknown drift parameter
estimators in the SDE involving the general Gaussian processes.
Ore 15.30
Prof. Erik Schloegl
University of Technology Sydney
Title: Toward Quantifying Model Risk
Abstract: As a paper by the Board of Governors of the Federal Reserve System
put it in 2011, ?The use of models invariably presents model risk, which is the
potential for adverse consequences from decisions based on incorrect or misused
model outputs and reports.? However, there has been surprisingly little
research to date on quantifying this risk, or putting the analysis of this risk
on a more rigorous footing. This presentation discusses four types of model
risk encountered when using models for the pricing and risk management of
derivative financial instruments, and the relationship (and potential
trade-offs) between them. Secondly, we consider how one would go about
implementing the ?relative entropy? approach to model risk suggested by
Glasserman and Xu (2013) in this context, and how this may affect modelling
choices in practice.
Tiziano
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Tiziano Vargiolu
Dipartimento di Matematica Phone: +39 049 8271383
Universita' di Padova Fax: +39 049 8271428
Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it
I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu
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Nell'ambito del ciclo di seminari del Dipartimento di Scienze per
l'Economia e l'Impresa (DISEI) dell'Universita' di Firenze:
Martedì 31 Maggio 2016 (campus Novoli, Edificio D6/Aula Bracco) ore 14.00
Luca Spadafora (Banca Popolare di Verona)
terrà un seminario dal titolo
"Jumping Value at Risk: Order Statistics for Risk Modelling"
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