Cari colleghi,
vi segnalo che il Dipartimento di Matematica dell'Università di Padova
ha bandito un posto di ricercatore di tipo B nel settore MAT/06.
Il bando è disponibile alla pagina
http://www.math.unipd.it/it/news/?id=1898
La scadenza per la presentazione delle domande è il 25 agosto 2016.
Marco Ferrante
Dear all,
next Thursday, May 5th, Riccardo Maffucci (EPFL) will give a seminar about
"Distribution of nodal intersections for random waves".
Abstract:
This work is in collaboration with Maurizia Rossi. Random waves are Gaussian Laplacian eigenfunctions on the 3D torus. We investigate the length of intersection between the zero (nodal) set, and a fixed surface. Expectation, and variance in a general scenario are prior work. In the generic setting we prove a CLT. We will discuss (smaller order) variance and (non-Gaussian) limiting distribution in the case of ’static’ surfaces (e.g. sphere). Under a certain assumption, there is asymptotic full correlation between intersection length and nodal area.
The seminar will take place in Aula De Blasi, Università Tor Vergata, at 16h00. We encourage in-person partecipation, but should you unable to come here is the link to the event on Teams:
https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw…
The seminar is part of the Excellence Project Math@TOV.
You can find a schedule with the next events at the following link: https://www.mat.uniroma2.it/~rds/events.php .
Dear colleagues,
We are happy to announce the workshop
"*Interacting particle systems and applications*"
which will take place at the *University of Trento* on* September 5th to
7th, 2022*.
The workshop aims at discussing recent developments in the theory of
interacting systems, with emphasis on fostering collaborations and
discussions among junior researchers.
At the following webpage (which will be kept up-to-date)
https://sites.google.com/view/ipsa2022
you can find useful information on the workshop, including list of
speakers, venue and (when available) schedule and abstracts of the talks.
Participation is free but *registration is mandatory. We kindly ask you to
register no later than June 30th*. The workshop is planned as a hybrid
event (in-person and online); to register for in person participation,
click on "register" button (in the home webpage of the workshop); to
register for online participation, send an email
to ipsa[dot]maths[at]unitn[dot]it .
We are looking forward to meeting you in Trento.
All the best,
The organizing committee
Michele Coghi, Mario Maurelli, Carlo Orrieri, Giovanni Zanco
Dear colleagues,
We are glad to invite you to the seminar that will take place on the 8th of
September, at 16.00:
- in presence: room 101 of the campus Perrone, via Perrone, 18, Novara
Università del Piemonte Orientale, Dipartimento di Studi per l’Economia e
l’Impresa.
- on-line at the link: https://meet.google.com/xaz-bwct-dqo
*An Introduction to Saddlepoint Approximations*
*Prof. Elvezio Ronchetti*
Research Center for Statistics
and Geneva School of Economics and Management
University of Geneva, Switzerland
Elvezio.Ronchetti(a)unige.ch
www.unige.ch/gsem/en/research/faculty/honorary-professors/elvezio-ronchetti/
*Abstract:* Classical inference in statistics is typically carried out by
means of standard (first-order) asymptotic theory. However, the asymptotic
distribution of estimators and test statistics can provide a poor
approximation of tail areas especially when the sample size is moderate to
small. This can lead to inaccurate p-values and confidence intervals.
Several techniques, both parametric and nonparametric, have been devised to
improve first-order asymptotic approximations, including e.g. Edgeworth
expansions, Bartlett's corrections, and bootstrap methods. Here we focus on
saddlepoint techniques, introduced into statistics by H. Daniels, and more
generally on small sample asymptotic techniques, an expression coined by F.
Hampel to express the spirit of these methods. Indeed they provide very
accurate approximations of tail probabilities down to small sample sizes
and /or out in the tails. Moreover, these approximations exhibit a relative
error of order 1/n, an improvement with respect to other available
approximations obtained by means of Edgeworth expansions and similar
techniques.
We will review the basic ideas, show the link with other nonparametric
methods such as empirical likelihood, and outline some connections to
information theory and optimal transportation.
Best wishes,
Enea Bongiorno
--
Enea Bongiorno,PhD
Associate Professor of Statistics
Università degli Studi del Piemonte Orientale
Via Perrone 18, 28100, Novara, Italia
Phone: +390321375317
enea.bongiorno(a)uniupo.it
upobook.uniupo.it/enea.bongiorno
Cari tutti,
il gruppo di ricerca Statistical Methods (https://sme.univie.ac.at/) dell'Università di Vienna offre un dottorato in Statistica sotto la supervisione di Tatyana Krivobokova.
Vi sarei grato se poteste condividere il bando (allegato) con gli studenti interessati.
Cordialmente,Gianluca Finocchio
-------- Original Message --------
| Subject: | University of Vienna |
| Date: | 30.08.2022 16:50 |
| From: | Tatyana Krivobokova <tatyana.krivobokova(a)univie.ac.at> |
| To: | Gianluca Finocchio <gianluca.finocchio(a)univie.ac.at> |
https://univis.univie.ac.at/ausschreibungstellensuche/flow/bew_ausschreibun…
| Deutsch | not authenticated |
|
The University of Vienna (20 faculties and centres, 184 fields of study, approx. 10.400 members of staff, about 90.000 students) seeks to fill the position as soon as possible of a
University Assistant (prae doc)
at the Department of Statistics and Operations Research
Reference number: 13459
The positions are meant to support young scientists through their Ph.D. research. The announcement is made for four years, whereby the employment relationship is initially limited to 1.5 years and is automatically extended to a total of four years, unless the employer submits a declaration of non-renewal after a maximum of 12 months.
The successful applicants will enter the department's Ph.D. program and are expected to work on one of the following topics: change points detection in Gaussian processes with non-zero mean, Bayesian approaches to dimension reduction techniques or classification of dependent data.
Duration of employment: 4 year/s
Extent of Employment: 30 hours/week
Job grading in accordance with collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) with relevant work experience determining the assignment to a particular salary grade.
Job Description:
Participation in research, teaching:
- Participation in research projects / research studies
- publications / academic articles / presentations
- We expect the successful candidate to sign a doctoral thesis agreement within 12-18 months
- Participation in teaching and independent teaching of courses as defined by the collective agreement
Profile:
A Master's or comparable degree in statistics, mathematics, or a closely related discipline (completed or pending completion); a solid background in mathematical statistics and probability theory; and a promising potential for original research.
.
Research fields:
| Main research field | Special research fields | Importance |
| Mathematics | Mathematical statistics | MUST |
Languages:
| Language | Language level | Importance |
| English | Very good knowledge | MUST |
Applications including a letter of motivation (German or English) should be submitted via the Job Center to the University of Vienna (http://jobcenter.univie.ac.at) no later than 26.09.2022, mentioning reference number 13459.
For further information please contact Sobotka-Tompits, Sabine +43-1-4277-38631, Krivobokova, Tatyana +43-1-4277-38632.
The University pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity (http://diversity.univie.ac.at/). The University lays special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.
Human Resources and Gender Equality of the University of Vienna
Reference number: 13459
E-Mail: jobcenter(a)univie.ac.at
Privacy Policy of the University of Vienna
| |
| external apply |
| internal apply |
|
topUniversity of Vienna | jobcenter(a)univie.ac.at
Postdoc position (two years) at Luiss University on the topic
Learning in strategic and stochastic environments
This project lies at the interface of mathematical game theory, algorithmic
game theory, machine learning, optimization, and high-dimensional
probability. Despite its theoretical nature, it will be motivated by
applications in operations management, supply chain, algorithmic mechanism
design, online matching markets, computational social choice, queueing,
networks, etc.
Deadline: September 30, 2022 - 2 p.m. - Central European Summer Time
(CEST), UTC +2
Details available at
https://economiaefinanza.luiss.it/en/research/post-doc-fellowship/research-…
*******************************************************
Marco Scarsini
Dipartimento di Economia e Finanza
Luiss University
Viale Romania 32
00197 Roma, ITALY
URL: http://docenti.luiss.it/scarsini/
AVVISO DI SEMINARIO
Venerdì 2 settembre 2022, alle ore 14:00, nell'aula Dal Passo del Dipartimento di Matematica dell'Università di Roma Tor Vergata si terrà il seguente seminario (in presenza e online):
On the skew and curvature of implied and local volatilities
Elisa Alòs, Universitat Pompeu Fabra (Barcelona)
Abstract. In this talk, we study the relationship between the short-end of the local and the implied volatility surfaces. Our results, based on Malliavin calculus techniques, recover the recent $\frac{1}{H+3/2}$ rule (where $H$ denotes the Hurst parameter of the volatility process) for rough volatilitites (see Bourgey, De Marco, Friz, and Pigato (2022)), that states that the short-time skew slope of the at-the-money implied volatility is $\frac{1}{H+3/2}$ the corresponding slope for local volatilities. Moreover, we see that the at-the-money short-end curvature of the implied volatility can be written in terms of the short-end skew and curvature of the local volatility and viceversa, and that this relationship depends on $H$.
MSTeams link: https://teams.microsoft.com/l/meetup-join/19%3arfsL73KX-fw86y1YnXq2nk5VnZFw… <https://teams.microsoft.com/l/meetup-join/19:rfsL73KX-fw86y1YnXq2nk5VnZFwPU…>
UNIVERSITA' DI SALERNO
DIPARTIMENTO DI MATEMATICA
AVVISO DI SEMINARIO
Giovedì 1 settembre 2022, alle ore 12:00, nella sala del consiglio del
Dipartimento di Matematica, edificio F2, si terrà il seguente seminario in
presenza e online (su Teams):
*Analyzing the loss of protection in an SVIS stochastic model with
infection reintroduction, when vaccines are partially effective*
Prof.ssa *Maria Jesus Lopez-Herrero*
Department of Statistics and Data Science, Faculty of Statistical Studies,
Complutense University of Madrid, Madrid, Spain
ABSTRACT
This talk deals with a stochastic
Susceptible-Infected-Vaccinated-Susceptible (*SIVS*) model with infection
reintroduction, where the propagation of a contagious disease was modeled
in terms of a continuous time Markov chain.
A communicable disease spreads in a homogeneous moderately-sized community
of constant size in which individuals are identical in terms of social
mixing and disease contact or recovery characteristics.
Health policies depend on a vaccine coverage that guarantees herd immunity
levels in the population. Hence, for community protection, a certain number
of individuals were vaccinated against the contagious disease before the
outbreak starts.
Vaccine failures occur when an organism develops a disease despite of being
vaccinated against it. After vaccination, a proportion of healthy
individuals unsuccessfully tries to increase antibody levels and,
consequently these individuals are not immune to the vaccine preventable
disease. When an infectious process is in progress, the initial vaccine
coverage drops down and herd immunity will be lost.
Our objective is to introduce a threshold for vaccination level and study
random characteristics depending on this threshold and also on the
vaccination eligible group that could advise health authorities when to
launch a new vaccination program to recover the initial immunity level.
link:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZWUxYmVmYmQtOWVmMC00…
Gli interessati sono cordialmente invitati a partecipare.
Con piacere annunciamo il
"Two-day workshop on deterministic and stochastic control"
che si terrà presso il campus Leonardo nelle giornate 6/7 settembre 2022.
Alla seguente pagina web potete trovare le informazioni che via via verranno aggiornate, oltre che il form di Registrazione (scadenza 20 agosto).
Sito web: https://sites.google.com/view/controlpolimi22
Un caro saluto,
Giulia Cavagnari, Fulvia Confortola, Giuseppina Guatteri ed Elsa Maria Marchini
It is our pleasure to announce the
"Two-day workshop on deterministic and stochastic control"
that will be held at campus Leonardo on 6/7 September 2022.
At the following web-page you can find all the information which will be kept updated, along with the Registration form (deadline 20 August).
Web-site: https://sites.google.com/view/controlpolimi22
Best regards,
Giulia Cavagnari, Fulvia Confortola, Giuseppina Guatteri ed Elsa Maria Marchini
Giuseppina Guatteri
Dipartimento di Matematica
Politecnico di Milano
Via Bonardi, 9
20133 Milano
tel.: +390223994556
fax.:+390223994513
email: giuseppina.guatteri(a)polimi.it
"Happiness can be found even in the darkest of times, if one only remembers to turn on the light" A. Dumbledore
Dear**Colleagues,
I am happy to share this Call for Visiting Fellowships by LTI@UniTO,
with deadline September 10th. For further information, please visit:
https://www.carloalberto.org/jobs-fellowships/ltiunito-research-fellowships/
I hope you can help me spread the information widely.
Best regards,
Luca Regis
--
Luca Regis
Associate Professor
ESOMAS Department, University of Torino
Collegio Carlo Alberto
sites.google.com/view/lucaregis
Office: +39 011 670 6065
www.carloalberto.org/lti
*--------------------------------------------------------------------------------------------------------------------------------------
*
*Call For Visiting Fellowships
LTI@UniTO Research Fellowships*
Long-Term Investors@UniTo (LTI@UniTO, https://www.carloalberto.org/lti)
is pleased to announce the availability of up to 5 Research Fellowships
for the year 2023.
LTI@UniTO is a think tank established as a joint initiative of the
Università di Torino and of the major Italian market players in long
term financing. Through the Fellowship program, LTI@UniTO aims to foster
research in long-term investing and to assess its features,
perspectives, contribution to growth and stability.
The think tank supports independent research and informs the debate
between long-term investors and policymakers.
Fellowships are awarded to either junior or senior scholars to spend a
two month visiting period at Collegio Carlo Alberto (Torino, Italy)
working on a research program relevant to long-term investors. The
fellowship amount is 16000 euros for senior scholars and 6000 euros for
junior scholars.
APPLICATION PROCEDURE: Candidates must send their application (CV +
research program, approximately 2 pages) to lti(a)carloalberto.org before
midnight, ECT, September 10th, 2022.
Please enter “LTI CALL FOR FELLOWS” in the email subject.
For further information, please contact lti(a)carloalberto.org
SENIOR FELLOWSHIPS:
- Applicants must have a publication history in top Finance/Econ
academic journals.
- Receivers of the fellowships will conduct their own research for a
period of two months at UNITO/Collegio Carlo Alberto (CCA).
- The research program should be related to one of the themes in the
Strategic List below and must be included in the Application. A final
working paper is required, a seminar at UNITO/CCA is compulsory. Another
seminar/workshop, targeted to our sponsors, may be requested.
- Total remuneration (for the entire period – gross and including all
expenses): € 16000.
- There are up to three positions available.
- A joint Junior Fellowship can be assigned, if required by the Senior
Applicant in his proposal (name of the proposed junior applicant can be
included too).
- Research Assistantship, if needed, may be requested once the
fellowship is awarded.
JUNIOR FELLOWSHIPS:
- Candidates are Ph.D. Students or young scholars with a PhD in Finance,
Economics or a related field.
- Receivers of the fellowships will conduct research under the
supervision of a Senior Fellow or a UNITO/CCA’s Finance faculty for a
period of two months at CCA/UNITO.
- The research program should be related to one of the themes in the
Strategic List below and must be included in the Application. A final
working paper is required, a seminar at UNITO/CCA is compulsory.
- Total remuneration (for the entire period –gross and including all
expenses): € 6000.
- There are up to two positions available.
STRATEGIC LIST:
- Interaction between financial markets and the real economy: start-up
funding, impact investments, infrastructure, SME financing;
- Role of LTIs in traditional financial markets (systemic risk,
stability, pro or countercyclicality, liquidity, impact on prices), as
well as on private markets; risk and return of private markets (private
equity, private debt, private placements);
- Asset Management or ALM of LTIs, including past experiences, models,
benchmarking, constraints on expenditures and liabilities;
- Innovative Asset Classes and LTIs;
- Mandates, delegation and effectiveness of monitoring (short term
accountability versus long-term strategies); optimal contracts in
delegated portfolio management: benchmarking and bonus/target incentive
schemes;
- The collective costs of short-horizon investment and their control
(regulatory constraints);
- Fintech and LTIs: opportunities and risks;
- Benefits and costs of financial regulation and macro prudential
policies that matter to LTIs;
- The impact of crises on LTIs and the role of LTIs in market crashes
and recovery;
- Real estate and real estate funds: risk, return and their role in the
ALM of LTIs;
- LTIs, sustainable finance and Green Financing; the role of LTIs in the
transition toward a greener economy; greenwashing and challenges of
implementing ESG strategies.
- Responsible investing: screening or engagement; exit or voice;
- Digitalisation, artificial intelligence, new technologies and their
impact on LTIs’ business and financial practices;
- Emerging risks: health risks, cyber risks, catastrophic risks,
business interruption and their impact on LTIs.