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Post-doc position - Sapienza University of Rome (Dep. Statistical Sciences)
by Luisa Beghin 08 Nov '23

08 Nov '23

Dear All, a call for *one-year** post-doc position* (renewable up to further 12 months) is open at the *Department of Statistical Sciences, Sapienza University in Rome.* The topic of the research is “Anomalous diffusions: non-Gaussian Analysis and grey noises". The details of the call are at https://web.uniroma1.it/trasparenza/dettaglio_bando 23_AR-B_MAT/06 <https://web.uniroma1.it/trasparenza/dettaglio_bando_albo/210254> The position is open to graduates who do not yet hold a Ph.D. Salary: €19,367 (gross). The *deadline is 4 december 2023*. For technical assistance on application please contact domenica.zumpano(a)uniroma1.it I would be grateful if you could forward this message to any potentially interested candidate. Thanks and best regards, Luisa Beghin *************************************************************** Luisa Beghin Dipartimento di Scienze Statistiche Fac. Ingegneria dell'Informazione, Informatica e Statistica "SAPIENZA" Università di Roma Piazzale Aldo Moro 5, 00185 Roma T (+39) 06 49910543 F (+39) 06 4959241 https://sites.google.com/site/luisabeghin/ ***************************************************************** -- **Fai crescere le giovani ricercatrici e i giovani ricercatori* **con il 5 per mille alla Sapienza *Scrivi il codice fiscale dell'Università *80209930587 Cinque per mille <https://www.uniroma1.it/it/node/23149>*

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22 novembre ore 16.00 - Seminario Prof. Simone Vantini
by Enea Bongiorno 08 Nov '23

08 Nov '23

Carissimi colleghi, scusandomi per eventuali invii multipli, vi inoltro il seguente annuncio di seminario. Tutti gli interessati sono invitati a partecipare. Cordialmente, Enea Bongiorno -------------------------------- 22 novembre ore 16.00 - aula 206, campus Perrone, via Perrone, 18, Novara. Università del Piemonte Orientale. - on-line: https://meet.google.com/ign-wqer-sjs *Finite-sample exact prediction bands for functional data* *Prof. Simone Vantini, Politecnico di Milano* *Abstract:* The talk will deal with the key challenge of creating prediction bands for a new observation in the functional data framework given a training set of observed functional data and possibly in presence of covariates, either scalar, categorical, or functional. Starting from the investigation of the literature concerning this topic, we propose an innovative approach building on top of Conformal Prediction and Functional Data Analysis able to overcome the main drawbacks associated to the existing approaches. Under minimal distributional assumptions (i.e., exchangeability of the random functions), we will show how the new proposed nonparametric method (i) is able to provide prediction regions which could visualized in the form of bands, (ii) is guaranteed with exact coverage probability also for finite sample sizes, and finally (iii) is computational efficient. Different specifications of the method will be compared in terms of efficiency in some simulated and real case scenarios also in the case of multi-dimensional domain and/or codomain. ----------------------------------- Locandina dell'evento <https://drive.google.com/drive/folders/1VJXOiNVwkDI8w2wE0hMqcjFgVzEa7vi4?us…> Seminari Matematici Statistici <https://sites.google.com/uniupo.it/seminari-ms/home-page> ----------------------------------- -- 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

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Hooke Research Fellowships at the University of Oxford (fwd)
by Tiziano Vargiolu 07 Nov '23

07 Nov '23

---------- Forwarded message ---------- Date: Tue, 7 Nov 2023 15:42:20 +0000 (GMT) From: Rama Cont <Rama.Cont(a)maths.ox.ac.uk> To: vargiolu(a)math.unipd.it Subject: Hooke Research Fellowships at the University of Oxford Hooke Postdoctoral Research Fellowships Mathematical & Computational Finance Group Mathematical Institute, University of Oxford https://www.maths.ox.ac.uk/node/65978 Deadline: 22 November 2023 The Oxford Mathematical & Computational Finance Group invite applications from talented researchers with interests in Stochastic analysis, Mathematical Finance or Data Science for a Hooke Research Fellowship starting September 2024. These prestigious Fellowships at the University of Oxford are full-time, fixed term up to 36 months starting September 2024 and provide an ideal opportunity for candidates to pursue an independent research programme. Successful applicants will be free to conduct their own research programme. To aid the development of their academic profile, Fellows will be required to contribute up to three hours of departmental teaching per week for the 24 weeks of each academic year, averaged over the period of the Fellowship to allow for extended visits elsewhere. Candidates will have, or be close to completing, a PhD in mathematics or a related discipline. They must show evidence of independence and the ability to undertake research of the highest academic standard, hold an outstanding record of papers published in major international journals (commensurate with career stage), and have a relevant research plan which would enhance the Mathematical Institute’s research profile. Additional information about the post, and a full list of selection criteria, are available here: https://www.maths.ox.ac.uk/node/65978 Please direct informal enquiries to recruitment(a)maths.ox.ac.uk, quoting vacancy reference 168995. Applicants should read the job description before writing their application. You will be required to upload a supporting letter setting out how you meet the selection criteria, a curriculum vitae including full list of publications with top three papers starred, a statement of research interests including a plan for research during the Fellowship, and the names and contact details of two referees as part of your online application. NOTE: Applicants are responsible for contacting their referees and making sure that their letters are received by the closing date. Applications for this vacancy are to be made online. To apply for this post and for further details, including a job description and selection criteria, please click on the link below: https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id= 168995 Only applications received before 12:00 noon UK time on 22 November 2023 can be considered. Oxford is committed to equality and valuing diversity. CLOSING DATE: 22 NOVEMBER 2023 - 12:00 UK TIME

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Fwd: Postdoctoral career development positions in Oxford
by Elisabetta Candellero 07 Nov '23

07 Nov '23

Ricevo e inoltro. Elisabetta ---------- Forwarded message --------- From: Christina Goldschmidt <christina.goldschmidt(a)gmail.com> Date: Tue, Nov 7, 2023 at 3:37 PM Subject: Postdoctoral career development positions in Oxford To: <APPLIEDPROB(a)jiscmail.ac.uk> Dear colleagues, [With apologies for cross-posting!] The Department of Statistics at Oxford has just advertised four postdoctoral fellowship positions, called Bicentenary Florence Nightingale Fellows, with closing date *12 noon on 22nd November*. These are available in any area of Probability or Statistics. The jobs are fixed-term, with two available for five years, and two available for two years. The Florence Nightingale Fellowships are career development positions, intended to carry around half the teaching load of an ordinary Oxford faculty position. They can start on or before 1st September 2024. More details can be found in the official advertisement <https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_c…>, where there are also links to detailed job descriptions and the online application form. (Candidates should please note that their referees should send their letters of reference by the closing date.) I would be very grateful if you could bring this to the attention of any suitable people that you know! If potential applicants have any questions about the posts, please ask them to contact Christl Donnelly < christl.donnelly(a)stats.ox.ac.uk> or Patrick Rebeschini < patrick.rebeschini(a)stats.ox.ac.uk>. If they have any questions specifically about probability in Oxford, they should feel free to contact either me or Julien Berestycki <julien.berestycki(a)stats.ox.ac.uk>. Many thanks and best wishes, Christina. -- Christina Goldschmidt | http://www.stats.ox.ac.uk/~goldschm | she/her Department of Statistics and Lady Margaret Hall, University of Oxford ------------------------------ To unsubscribe from the APPLIEDPROB list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=APPLIEDPROB&A=1

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Post-Doc position at Pavia
by Enrico Priola 07 Nov '23

07 Nov '23

Dear All, a call for one-year post-doc position (renewable up to further 12 months) is open at the Department of Mathematics of the University of Pavia. The topic of the research is “SPDES AND APPLICATIONS” within the project PRIN 2022 “Noise in fluid dynamics and related models”. The details of the call are at https://alboufficiale.unipv.it/files/004841775-UNPVCLE-367d4353-5d2c-45ba-b… (an english translation is available in https://drive.google.com/file/d/1e3lIJ9VKSBinm4i5szzjbL94guazJi1D/view?usp=… ) The position is open to graduates who do not yet hold a Ph.D. The starting date is flexible. Remuneration: Eur. 24000 (gross). The deadline is 7 december 2023 (12.00 Rome time). I would be grateful if you could forward this message to any potentially interested candidate. Thanks and all the best, Enrico Priola -- Dipartimento di Matematica, Università di Pavia Via Adolfo Ferrata 5, 27100 Pavia tel +39 0382 985639

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Una giornata con Mauro Piccioni
by Gustavo Posta 07 Nov '23

07 Nov '23

Cari amici, siamo felici di annunciare il convegno "Tra probabilità e statistica: una giornata con Mauro Piccioni" che si terrà il 30 novembre 2023 dell'aula Consiglio del Dipartimento di matematica Guido Castelnuovo dell'Università degli Studi di Roma "la Sapienza". La partecipazione è libera ma, per ragioni organizzative, si richiede di confermare la propria presenza scrivendo a gustavo.posta(a)uniroma1.it una mail con subject "PartecipoMauro". Programma 10:30 Benvenuto e apertura lavori 11:00 Domenico Marinucci: Geometry and topology of spin random fields 12:00 Franco Flandoli: Recent trends in stochastic fluid dynamics 13:00 Pausa pranzo 15:00 Antonio Lijoi: Dirichlet curves and beyond: some recent findings on means of random probability measures 16:00 Gianluca Torrisi: Sharp deviations and extended CLTs of shot noise and Hawkes processes 17:00 Paolo Dai Pra: Noise-induced oscillations for the mean-field Dissipative Contact Process Per ulteriori dettagli e aggiornamenti: https://www1.mat.uniroma1.it/ricerca/convegni/2023/convegnoMauro/ ---------------------------------------------------------------- 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 ------------------------------------------------------------------ -- **Fai crescere le giovani ricercatrici e i giovani ricercatori* **con il 5 per mille alla Sapienza *Scrivi il codice fiscale dell'Università *80209930587 Cinque per mille <https://www.uniroma1.it/it/node/23149>*

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R: Seminario di Probabilità e Finanza
by alekos.cecchin＠unipd.it 06 Nov '23

06 Nov '23

Buongiorno a tutti, Vorremmo segnalarvi che questo venerdì (10 Novembre) alle ore 14:30 in aula 2BC30 (Torre Archimede, Università di Padova) ci sarà un seminario per il ciclo di seminari in Probabilità e Finanza di: Bernardo D’Auria (Università di Padova) Title: An optimal stopping problem for Gauss-Markov bridges Date: November 10, 2023 at 14:30, room 2BC30, Torre Archimede, University of Padova Abstract: In this talk I’ll present a work I’ve been recently interested in. It consists in finding the optimal barrier strategy that maximizes the expected value of a Gauss-Markov bridge. The Gauss-Markov bridges are a general class of processes, obtained by conditioning a Gaussian Markov process to end in a specific point at a specific terminal time, or expiration date. This class includes the Brownian bridge and the Ornstein-Uhlenbeck bridge process as special cases, and its members have the property to be non-homogeneous in time and with an unbounded drift near the expiration date. I’m going to show that a feasible way to deal with the optimal stopping problem is to use a time-space transformation that allows to reduce it to an infinite horizon problem about a Brownian motion. Vi aspettiamo numerosi! Alberto e Alekos

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annuncio seminario
by Sara Pasquali 06 Nov '23

06 Nov '23

Si informa che il giorno venerdì *10 novembre 2023 *alle *ore 11.00* presso il CNR di Milano di via A. Corti 12, in *Sala Pentagonale *(edificio Bassini), il dott. Giuseppe Buffoni (associato IMATI-CNR, ex ENEA) terrà il seminario *On the structure of composite odd integers and prime numbers* *Abstract: * With the expression ''structure of an odd integer'' we mean the set of properties of the integer /n/ which specifies the odd integer /2n+1/ and brings about its behaviour. These properties of /n/, for both composite and prime numbers, are expounded in detail, together with their geometrical implications. In this context, a set, in a two dimensional space, where all the composite odd integers in /[2a+1, 2n+1]/ are localized, is illustrated. Sarà possibile seguire il seminario anche in streaming su Teams, collegandosi a CLICCA QUI PER PARTECIPARE AL SEMINARIO <https://teams.microsoft.com/l/meetup-join/19%3ameeting_OGJkM2JkNTYtNGE1Ni00…> ID riunione: 363 939 185 427 Passcode: WUQ25p Chi intendesse partecipare alla riunione di persona, è pregato, per ragioni di sicurezza, di inviare conferma all’indirizzo sara.pasquali(a)mi.imati.cnr.it Cordiali saluti Sara Pasquali -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Dr. Sara Pasquali CNR-IMATI Via Bassini, 15 20133 MILANO - ITALY =========== Tel. +39 02 23699525 Fax. +39 02 23699538 e-mail:sara.pasquali@mi.imati.cnr.it ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Post-Doc position at Tor Vergata
by Davide Pirino 06 Nov '23

06 Nov '23

Dear all, the Centre for Economic and International Studies <http://www.ceistorvergata.it/> of the University of Rome Tor Vergata <https://web.uniroma2.it/en> is promoting an 18-month post-doc position within the project PRICE: A NEW PARADIGM FOR HIGH-FREQUENCY FINANCE, financed by the PRIN 2022 program. You can apply online via the PICA system using the link https://pica.cineca.it/uniroma2/f2-2023-0019/ Please find attached a copy of the call. The deadline is December 10, 2023. Should you have any questions concerning how to apply (or for further details on the position), please do not hesitate to contact me. Kind regards Davide Pirino

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Avviso di seminario
by Barbara Martinucci 03 Nov '23

03 Nov '23

UNIVERSITA' DI SALERNO Dipartimento di Matematica *AVVISO** DI SEMINARIO* Il Prof. *Thomas SIMON *(Université de Lille) terrà, *mercoledì 8 novembre, alle ore 15:00*, presso la Sala Riunioni dell'Edificio F2 (piano 1, stanza 36), un seminario dal titolo: *On Tsallis cumulative entropies* Gli interessati sono cordialmente invitati a partecipare, *Antonio Di Crescenzo* *Barbara Martinucci* *Alessandra Meoli**Serena Spina* Link su Teams: https://teams.microsoft.com/l/meetup-join/19%3a6hfHOOIVt89PyLIJDpqXis553z6p… * Abstract* We investigate the Tsallis cumulative entropy, an information measure recently introduced as a cumulative version of the classical Tsallis differential entropy. This functional is considered as a perturbation of the expected mean residual life via some power weight function. This point of view leads to the introduction of the dual cumulative Tsallis entropy and of two families of coherent risk measures generalizing those built on mean residual life. We characterize the finiteness of the cumulative Tsallis entropy in terms of Lp-spaces and show how they determine the underlying distribution. We also study the range of the Tsallis cumulative entropy under various constraints. In the symmetric case with finite variance, whereas the maximization of the Tsallis differential entropy gives rise to the classical q−Gaussian distribution which is a perturbation of the Gaussian distribution having a finite range or heavy tails, the maximization of the cumulative Tsallis entropy leads to an analogous perturbation of the Logistic distribution.

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