We are glad to announce the following seminar:
Thursday, 3rd of November 2022
12:00, Room AS02 (only in presence, no online)
Bocconi University, Via Roentgen 1, floor -1
Speaker: Clément Dombry (Université de Franche-Comté)
Title: Stone's theorem and minimax rate of convergence for distributional
regression
Abstract: Distributional regression aims at estimating the full conditional
distribution of the response variable given the covariates and is a
fundamental tool in probabilistic forecast.…
[View More] In this talk, we prove Stone's
theorem for distributional regression. It establishes universal consistency
in Wasserstein distance of a large class of models based on local weights.
Next we consider minimax rates of convergence on suitable classes of
distributions and prove that nearest neighbor and kernel algorithms are
rate optimal.
Best regards,
Giacomo Zanella
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Dear colleagues,
We have open at BCAM in Bilbao two positions: one PostDoc and one Research technician.
The Research technician is intended as a bridge contract after the Master and before to start a PhD.
The deadline for both positions is the 16th of December 2022, here are the corresponding links:
Postdoc. Research program "Stochastic Modelling and Simulation of Anomalous Diffusion"
http://www.bcamath.org/en/research/job/ic2022-10-postdoctoral-fellow-on-eff… <http://www.bcamath.org/en/…
[View More]research/job/ic2022-10-postdoctoral-fellow-on-eff…>
Research technician. Research program "Data Analysis for Anomalous Diffusion in Biological Media"
http://www.bcamath.org/en/research/job/ic2022-10-research-technician-on-eff… <http://www.bcamath.org/en/research/job/ic2022-10-research-technician-on-eff…>
For any question, you can get in contact with me: gpagnini(a)bcamath.org <mailto:gpagnini@bcamath.org>
Below you can read a cut & paste of the research program.
Thank you very much.
Sincerely,
Gianni
Ps: further open positions at BCAM can be found at http://www.bcamath.org/en/research/job <http://www.bcamath.org/en/research/job>
==============
Effective treatment strategies for rare diseases based on gene therapy
Project summary
Gene therapy medicinal products (GTMPs) are one of the most promising biopharmaceuticals, which are beginning to show encouraging results. Gene therapy based on the administration of DNA, messenger RNA (mRNA) or short-hairpin RNA (shRNA) are intended for gene augmentation or gene suppression, whereas the use of small interfering RNA (siRNA), microRNA, antisense oligonucleotides (ASOs) or aptamers provides posttranslational gene silencing. The efforts and advances made in this area have led to the development of new therapeutic strategies to treat several disorders, many of them without currently available treatments, as rare diseases. A key challenge for the clinical application of nucleic acid medicinal products entails the availability of delivery systems specifically adapted to their features and purpose. For a successful gene therapy, the delivery systems have to protect the genetic material from degradation, facilitating its internalization in target cells and releasing them intracellularly. The first step for an efficient internalization of the nucleic acid is the interaction between the delivery system and the cell membrane. Therefore, the understanding of the intracellular behaviour of the nanodelivery systems, the nucleic acid they carry (mRNA, DNA, siRNA, shRNA or ASO) and the endosomes after the internalization process will allow to advance in the design of nucleic acid based-nanomedicines aiming to improve the effectiveness of gene therapy treatments, by developing strategies for an improved intracellular delivery and endosomal escape.
The issue of physical understanding and mathematical modelling of nanodelivering is still an open problem. As a matter of fact, anomalous diffusion emerged in living systems, namely, diffusing particles do not follow rules and properties of Brownian motion, and delivering by nanoparticles also goes according to anomalous diffusion such that modelling and understanding of anomalous diffusion is fundamental for gene therapy improvement. Therefore, new and advanced techniques are required for modelling such random motions and further studies needed for the understanding of the underlying statistical physics. It is well-known that anomalous diffusion is strongly related with fractional diffusion equations that are differential equations involving integral operators defined within the branch of mathematical analysis named Fractional Calculus. Under the point of view of statistical physics, these systems show not classical features as, for example, long-range correlations, power-law distributions, weak ergodicity breaking and aging. This framework calls for stochastic processes in inhomogeneous media and/or for heterogeneous ensembles of particles and then within the families, for example, of scaled Brownian motion and diffusing-diffusivity as well as those of the generalized gray Brownian motion and the superstatistical fractional Brownian motion, in general, and their under-damped extension.
In general, the project aims to assess in deep the intracellular behavior of lipid nanoparticles for nucleic acid delivery for establishing models of anomalous diffusion useful to optimize the nanomedicines since the first steps of development. An important step towards further progress in the clinical application of gene therapy is expected and the results be applied in a number of delivery systems and diseases.
The project will be mainly focused on the following rare diseases: Rare metabolic diseases; Rare retinal degenerative diseases; CAR therapy in pediatric acute leukemia, that are currently investigated by the PharmaNanoGene group at the Faculty of Pharmacy (UPV/EHU) and Bioaraba Health Research Institute. The development of the proper stochastic processes for nanodelivering and the interpretation of the corresponding statistical physics will be conducted by the Statistical Physics group at BCAM led by the proponent Ikerbasque Research Associate Gianni Pagnini has decades of experience in the field of fractional diffusion equations and the development of the related models, while the molecular simulations and advanced data analysis will be provided by the Mathematical, Computational and Experimental Neuroscience group at BCAM led by Ikerbasque Professor Serafim Rodrigues.
—
Gianni Pagnini
Ikerbasque Research Associate
BCAM - Basque Center for Applied Mathematics
Alameda de Mazarredo, 14
E-48009 Bilbao, Basque Country - Spain
Tel. +34 946 567 842
gpagnini(a)bcamath.org | www.bcamath.org/gpagnini
( matematika mugaz bestalde )
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Buongiorno,
presso il Dipartimento di Economia, Management e Metodi Quantitativi
dell'Università degli Studi di Milano abbiamo appena aperto un assegno
di ricerca di 12 mesi. La scadenza è il 17 Novembre 2022 alle ore 23:59.
Tutte le informazioni ed il bando (in Italiano) è reperibile al sito:
https://www.unimi.it/it/ricerca/ricerca-lastatale/fare-ricerca-da-noi/asseg…
Cordiali saluti
Luca Rossini
--
Dr. Luca Rossini
Lecturer (Assistant Professor Tenure Track) in Statistics,
…
[View More]Department of Economics, Management and Quantitative Methods
University of Milan (Statale), Italy
email: luca.rossini87(a)gmail.com luca.rossini(a)unimi.it
skype: luca.rossini14
web: https://lucarossini.wixsite.com/luca-rossini
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Buongiorno,
ricevo ed inoltro.
Saluti
Alessandra
---------- Forwarded message ---------
Da: Cyril ROBERTO <cyril.roberto(a)math.cnrs.fr>
Date: lun 24 ott 2022 alle ore 23:38
Subject: First announcement Summer School on "Khintchine's Inequality: old
and,new", Paris, June 26-30 2023
To:
Dear Colleague,
You are cordially invited to participate in the Summer School at the
Henri Poincaré Institute (IHP), Paris, June 26-30, 2023.
We are pleased to inform you that Piotr Nayar and Krzysztof …
[View More]Oleszkiewicz
(Warsaw University) will each give 10 hours of lectures on Khintchine's
inequalities.
To get more information about this Summer School, please go to the
following web page:
https://indico.math.cnrs.fr/event/8606/
Registration is free but mandatory. In order to register, go to the
"registration" link.
Note that the school may have some (limited) financial support for young
people (PhD, postdocs). Financial support is up to
approximately 500 euros.To ask for said support, please send an email to
the organizers at khintchine.IHP.2023(a)outlook.fr
Looking very much forward to seeing you in Paris,
With all best wishes,
The organizers (Ali Barki, James Melbourne and Cyril Roberto)
P.S.: Please bring this Summer School to the attention of graduate
students, postdocs and colleagues who may be interested.
P.P.S.: Sorry for the multiple instances of the same message.
*************************************************
Prof. Alessandra Faggionato
https://www1.mat.uniroma1.it/people/faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 5, Phone (0039) 06 49913252
*************************************************
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Buongiorno
ricevo e con piacere inoltro.
Buona giornata
Alessandra
---------- Forwarded message ---------
From: Omer Angel <angel(a)math.ubc.ca>
Date: Tue, 25 Oct 2022 at 04:50
Subject: Tenure track and Postdoctoral positions at the University of
British Columbia
To: Alessandra Faggionato <faggiona(a)mat.uniroma1.it>
Dear Alessandra,
We would be grateful if you forward information about the positions
below to any candidates who may be interested.
=================================…
[View More]===================================
**Tenure track in Mathematics of Machine Learning and Artificial
Intelligence**:
The math department is seeking candidates for a tenure-track Assistant
Professor position, to start July 2023. Applicats should hold a PhD or
equivalent in mathematics or a related discipline. Postdoctoral
experience is normally expected. The position is art of a new
interdisciplinary research cluster on AI Methods for Scientific Impact
(AIM-SI), within UBC's Centre for AI Decision-making and Action (CAIDA).
CAIDA consists of over 100 researchers whose research leverages AI. We
are looking for someone who is ready to build research collaborations -
informal and formal - with other researchers in AIMS-SI, CAIDA, across
the mathematical sciences and the university as a whole.
====================================================================
**Postdoctoral fellowships**:
The probability group at UBC plans to hire postdoctoral fellows, to
start in July 2023. This are 3-year positions with a relatively low
teaching load. Applicants should have obtained a recent (normally no
earlier than 2020) Ph.D. in Mathematics or a closely related discipline,
or expect to complete one before the starting date. Candidates should
demonstrate excellent potential in research and teaching. (Other groups
often have postdoctoral positions as well - I do not speak for them.)
====================================================================
Review of applications for both positions will begin after November 15,
2022. Application is through mathjobs. The ads and full details may be
seen at
https://www.mathjobs.org/jobs/UBC
We especially welcome applications from members of under-represented
and/or marginalized groups, including women, people with disabilities,
from racial minorities, LGBTQ+, and indigineous individuals.
Please let me know if a different email address should be used.
Please contact any of us for additional information:
omer
-------------------------------------------
Gordon Slade <slade(a)math.ubc.ca>
Mathav Murugan <mathav(a)math.ubc.ca>
Omer Angel <angel(a)math.ubc.ca>
Jonathan Hermon <jonathan.hermon(a)gmail.com>
--
*************************************************
Prof. Alessandra Faggionato
https://www1.mat.uniroma1.it/people/faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 5, Phone (0039) 06 49913252
*************************************************
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We are glad to announce the following Statistics Seminar:
Friday, October 28, 11.30 a.m.
Davide Ferrari
(Free University of Bozen-Bolzano)
Fast Construction of Optimal Composite Likelihoods
Abstract
A composite likelihood is a combination of low-dimensional likelihood objects useful in applications where the data have complex structure. Although composite likelihood construction is a crucial aspect influencing both computing and statistical properties of the resulting estimator, …
[View More]currently there does not seem to exist a universal rule to combine low-dimensional likelihood objects that is statistically justified and fast in execution. This paper develops a methodology to select and combine the most informative low-dimensional likelihoods from a large set of candidates while carrying out parameter estimation. The new procedure minimizes the distance between composite likelihood and full likelihood scores subject to a constraint representing the afforded computing cost. The selected composite likelihood is sparse in the sense that it contains a relatively small number of informative sub-likelihoods while the noisy terms are dropped. The resulting estimator is found to have asymptotic variance close to that of the minimum-variance estimator constructed using all the low-dimensional likelihoods.
Preprint on Statistica Sinica https://www3.stat.sinica.edu.tw/ss_newpaper/SS-2021-0235_na.pdf
Room 2, Piazza Scaravilli 2, Bologna
Link for attending the event: Fai clic qui per partecipare alla riunione<https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZjY4MjE4MDQtYmM3Mi00…>
Contact person: Simone Giannerini
_________________________________________________________________
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A
Theme issue ‘DNA as information<https://royalsocietypublishing.org/toc/rsta/374/2063>’
edited by Julyan H.E. Cartwright, Simone Giannerini and Diego L. González
_________________________________________________________________
Simone Giannerini
Dipartimento di Scienze Statistiche "Paolo Fortunati"
Universita' di Bologna
Via delle belle arti 41 - 40126 Bologna, ITALY
Tel: +39 051 2098262 Fax: +39 051 232153
https://www.unibo.it/sitoweb/simone.giannerini/
______________________________________________________
________________________________
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Inoltro per eventuali interessati
Rita Giuliano
________________________________
________________________________
De: "Yohann" <yohann.de-castro(a)ec-lyon.fr>
À: icj(a)math.univ-lyon1.fr
Envoyé: Mercredi 19 Octobre 2022 10:37:28
Objet: [icj] Post-Doc à Orsay
Bonjour,
J’ai le plaisir de vous faire part d'une annonce de post-doc à Orsay en statistique mathématique.
Cordialement
Yohann De Castro
_______________________________________________
ICJ mailing list
ICJ(a)math.univ-…
[View More]lyon1.fr
https://es.sonicurlprotection-fra.com/click?PV=2&MSGID=20221019085709100024…
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Dear all,
We are glad to invite you to the *seminar* that will take place on the
*26th of October, at 14.30*, in presence in Room *Aula Seminari DiSMeQ
4026, building U7* Civitas, 4th floor, *University of Milano-Bicocca*,
Via Bicocca degli Arcimboldi 8, 20126 Milano.
*Catherine Matias* <http://cmatias.perso.math.cnrs.fr/>from *Centre
National de la Recherche Scientifique (CNRS), Sorbonne University,
Paris* will present a seminar on “*Properties of the stochastic
approximation EM …
[View More]algorithm with the mini-batch sampling*” (see abstract
below).
The seminar is also available online at the following link:
https://unimib.webex.com/unimib-it/j.php?MTID=m414dda85e475f906edae49b2a8ee…
<https://unimib.webex.com/unimib-it/j.php?MTID=m414dda85e475f906edae49b2a8ee…>
Passcode: NmEQKpfG535 (66375734 from phones)
You are invited to forward the event to your students, PhDs and
colleagues who may be interested in the Seminar.
Kind Regards,
Fulvia Pennoni
On behalf of the
Department of Statistics and Quantitative Methods
/--------------/
*Speaker*: Catherine Matias from Centre National de la Recherche
Scientifique (CNRS), Sorbonne University, Paris
*Title*: /Properties of the stochastic approximation EM algorithm with
the mini-batch sampling/
*Abstract*: To deal with very large datasets a mini-batch version of the
Monte Carlo Markov Chain Stochastic Approximation
Expectation–Maximization algorithm for general latent variable models is
proposed. For exponential models the algo rithm is shown to be
convergent under classical conditions as the number of iterations
increases. Numerical experiments illustrate the performance of the
mini-batch algorithm in various models. In particular, we highlight that
mini-batch sampling results in an important speed-up of the convergence
of the sequence of estimators generated by the algorithm. Moreover,
insights on the effect of the mini-batch size on the limit distribution
are presented. Finally, we illustrate how to use mini-batch sampling in
practice to improve results when a constraint on the computing time is
given.
--
Fulvia Pennoni Ph.D.
Dpt of Statistics and Quantitative Methods
University of Milano-Bicocca
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Dear All,
Let me bring to your attention the following position as Research Fellow (postdoc 18 months) at the Department of Mathematics, University of Oslo:
https://www.jobbnorge.no/en/available-jobs/job/233446/research-fellow-at-th…
Deadline for application: October 30, 2022
The Research fellow is expect to work within the scope of STORM - Stochastics for Time-Space Risk Models.
In particular the research work will focus on the development of the theory and the application of models non-…
[View More]necessarily Markovian suitable for the modelling of market date and associated risks.
More details are given in the call.
Please feel free to distribute this ad further.
Best regards,
Giulia Di Nunno
Professor
Department of Mathematics
University of Oslo, Norway
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