Cramér | Statistikfrämjandet https://statistikframjandet.se Tue, 12 Mar 2024 05:29:00 +0000 sv-SE hourly 1 https://wordpress.org/?v=6.4.3 Mini-conference on ”Epidemics, networks and competing growth” https://statistikframjandet.se/cramersallskapet/mini-conference-on-epidemics-networks-and-competing-growth/ Wed, 06 Mar 2024 21:17:51 +0000 https://statistikframjandet.se/?post_type=cramersallskapet&p=21350 ]]> This years winner of the Cramér prize for best doctoral thesis in statistics/mathematical statistics is Carolina Fransson (SU), with her thesis Stochastic epidemics on random networks and competition in growth. The Cramér Society is organising a mini-conference in honour of the winner, in connection to the annual meeting.

The event will take place Thursday March 21, on Zoom.

Zoom link: https://stockholmuniversity.zoom.us/j/64386440145?pwd=MTVqdi9HeEZQWlIzYlRJdjc5R1d6UT09

Schedule:

  • 12:55-13:00 Opening ceremony
  • 13:00-13:30 Julia Komjathy (TU Delft)
    TBA
  • 13:35-14:05 Bastian Prasse (European Center for Disease Control)
    Model reduction for epidemics on networks
  • 14:10-14:40 Bas Lodewijks (University of Augsburg)
    Long-range competition on the complete graph
  • 14:50-15:20 Peter Neal (University of Nottingham)
    The numbers of infectives in an SIR epidemic given only partial observation of the removal process
  • 15:25-15:55 Carolina Fransson (Statistiska Centralbyrån)
    Epidemics on inhomogeneous random graphs with degree-dependent contact rates
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Årsmöte 2024 https://statistikframjandet.se/cramersallskapet/arsmote-2024/ Sat, 20 Jan 2024 14:24:12 +0000 https://statistikframjandet.se/?post_type=cramersallskapet&p=20720 ]]> Cramérsällskapets årsmöte kommer hållas via Zoom den 21 mars kl 16:00.

Zoom länk: https://umu.zoom.us/j/69609993588

Nedan finner nu relevant dokumentation inför årsmötet.

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Webinar: Maria Josefsson (Umeå) May 17 https://statistikframjandet.se/cramersallskapet/webinar-maria-josefsson-umea-may-17/ Wed, 13 Dec 2023 11:22:48 +0000 https://statistikframjandet.se/?post_type=cramersallskapet&p=20184 ]]> The second webinar of the spring 2024 will be given by Maria Josefsson (Umeå).

When: Friday May 17, 11.00 – 11.45

Where: Zoom.

Titel: Long-term cognitive effects of an incremental blood pressure intervention in a mortal cohort.

Abstract: TBA.

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Webinar: Malgorzata Bogdan (Lund) February 9 https://statistikframjandet.se/cramersallskapet/webinar-malgorzata-bogdan-lund-february-9/ Wed, 13 Dec 2023 11:18:31 +0000 https://statistikframjandet.se/?post_type=cramersallskapet&p=20182 ]]> The first webinar of the spring 2024 will be given by Malgorzata Bogdan (Lund).

When: Friday February 9, 11.00 – 11.45

Where: Zoom link: https://lu-se.zoom.us/j/61931718764?pwd=YURHL01WamJPOUhhWmY3S3NTR0VrUT09

Meeting ID: 619 3171 8764
Password: 047554

Titel: On the properties of LASSO and SLOPE.

Abstract: LASSO and SLOPE are two regularization methods that can be used to reduce the dimensionality of overparametrized regression models. LASSO eliminates certain regression coefficients, while SLOPE  additionally allows for some coefficients to be exactly equal. However, both methods require the application of large penalty coefficients to achieve these model selection properties, which can result in substantial bias and deterioration of estimation and model selection properties. In this presentation, we will discuss several new theoretical findings that shed light on the properties of LASSO and SLOPE, as well as their preferred thresholded and adaptive versions. If time permits, we will also showcase some applications of SLOPE in the context of portfolio optimization.

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Cramérpriset 2024: dags att nominera! https://statistikframjandet.se/cramersallskapet/cramerpriset-2024-dags-att-nominera/ Wed, 13 Dec 2023 11:06:04 +0000 https://statistikframjandet.se/?post_type=cramersallskapet&p=20173 ]]> Cramérpriset utdelas årligen för bästa doktorsavhandling till en person som disputerat i statistik/matematisk statistik under det gångna kalenderåret. Den huvudsakliga bedömningsgrunden är avhandlingens kvalitet, men pedagogisk skicklighet (t ex manifesterad i avhandlingens kappa) och andra särskilda egenskaper kan också väga in.

Prissumman ligger på tiotusen kronor.

Motiveringstexten bör innehålla information om avhandlingens innehåll, graden av självständighet, kvalitet och kreativitet. Vilka publikationer avhandlingen lett till, om kandidaten blivit klar på eller före utsatt tid, och eventuella andra intressanta omständigheter bör också nämnas. En länk till avhandlingen, eller pdf-version, skall även skickas in.

Cramérsällskapets styrelse beslutar om pristagare. Pristagaren förväntas presentera sin avhandling i samband med Cramérsällskapets årsmöte i mars 2024.

Vi uppmanar till nomineringar till detta pris. Sista datum för nominering är den 19 januari 2024.

Skicka nominering till Cramérsällskapets sekreterare, Daniel Ahlberg, daniel.ahlberg@math.su.se

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Webinar: Moritz Schauer (Chalmers/GU) October 20 https://statistikframjandet.se/cramersallskapet/webinar-moritz-schauer-chalmers-gu-october-20-2/ Thu, 21 Sep 2023 10:06:50 +0000 https://statistikframjandet.se/?post_type=cramersallskapet&p=18427 ]]> The first webinar of the fall will be given by Moritz Schauer (Chalmers/GU).

When: Friday October 20, 2023, 11.00 – 11.45

Where: Zoom https://chalmers.zoom.us/j/68608789814 (password: 197131)

Titel: Causal structure learning and sampling using Markov Monte Carlo with momentum.

Abstract: In the context of inferring a Bayesian network structure from observational data, that is inferring a directed acyclic graph (DAG), we devise a non-reversible continuous-time Markov chain that targets a probability distribution over classes of observationally equivalent (Markov equivalent) DAGs. The classes are represented as completed partially directed acyclic graphs (CPDAGs). The non-reversible Markov chain relies on the operators used in Chickering’s Greedy Equivalence Search (GES) and is endowed with a momentum variable, which improves mixing significantly as we show empirically. The possible target distributions include posterior distributions based on a prior and a Markov equivalent likelihood. Joint work with Marcel Wienöbst (Universität zu Lübeck).

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Webinar: Tom Britton (SU) November 17 https://statistikframjandet.se/cramersallskapet/webinar-tom-britton-su-november-17/ Thu, 21 Sep 2023 10:04:08 +0000 https://statistikframjandet.se/?post_type=cramersallskapet&p=18425 ]]> The second webinar of the fall will be given by Tom Britton (SU).

When: Friday November 17, 2023, 11.00 – 11.45

Where: Zoom.

Titel: How did behavioral patterns, seasonality and virus strains affect transmission during Covid-19?

Abstract: In this project we try to make use of various time-dependent data sources on: temperature, virus strain frequencies, behavior metrics recorded by google, and vaccination data, to try to infer how these factors, affected the temporal spread of Covid-19. Our focus is on Norway and Sweden during the year 2021. Joint work with Felix Gunther, Hilde Kjeelgard Brustad and Arnoldo Frigessi.

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Höstmöte 2023 https://statistikframjandet.se/cramersallskapet/hostmote-2023/ Tue, 11 Jul 2023 19:33:51 +0000 https://statistikframjandet.se/?post_type=cramersallskapet&p=17627 ]]> Årets höstmöte går av stapeln 26-27 oktober och arrangeras vid Umeå universitet. Anmälan är öppen.

  • Tema: Hur kan och bör vi hantera generativ AI och chatbottar inom högskoleutbildningen?
  • Tid: 26-27 oktober, lunch till lunch (13.00 – 13.00)
  • Plats: Umeå universitet
  • Registrering: via mejl till Daniel Ahlberg (daniel.ahlberg@math.su.se) senast 16/10
  • Pris: 900 SEK (där fika, middag och lunch efter mötet ingår) för individuella medlemmar i Cramérsällskapet, 1000 SEK för icke-medlemmar (mer om hur du blir medlem här).
  • Betalning: senast den 16/10 till Cramérsällskapets plusgiro 52 58 69-4, ange ”Höstmöte, Namn”
  • Boende: ordnas individuellt.

Inbjudna talare är Henrik Björklund (UmU), Virginia Dignum (UmU), Joakim Edsjö (SU), Xavier de Luna (UmU), Satish Strömberg (UmU).

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Ny styrelse 2023 https://statistikframjandet.se/cramersallskapet/ny-styrelse-2023/ Fri, 31 Mar 2023 09:56:30 +0000 https://statistikframjandet.se/?post_type=cramersallskapet&p=15795 ]]> Under Cramérsällskapets årsmöte 28/3 valdes nya ledamöter in i styrelsen. Styrelsen består numer av:

Ordförande: Martin Singull (Linköpings universitet)
Sekreterare: Daniel Ahlberg (Stockholms universitet)
Kassör: Anders Lundquist (Umeå universitet)
Ledamot: Ottmar Cronie (Chalmers & Göteborgs universitet)
Ledamot: Tatyana Turova (Lunds universitet)
Ledamot: Ingeborg Waernbaum (Uppsala universitet)

Vi tackar Annika Lang och Behnaz Pirzamanbein som lämnar styrelsen för deras insatser.

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Webinar: Sigrid Källblad Nordin (KTH) https://statistikframjandet.se/cramersallskapet/webinar-sigrid-kallblad-nordin-kth/ Fri, 10 Mar 2023 17:00:47 +0000 https://statistikframjandet.se/?post_type=cramersallskapet&p=15384 ]]> The second webinar of the Spring term is given by Sigrid Källblad Nordin (KTH) :

When: Friday May 12, 2023, 11.00 – 11.45

Where: Zoom https://stockholmuniversity.zoom.us/j/68624941912

Titel: Mathematical Finance, Measure-Valued Martingales, and Martingale Optimal Transport

Abstract: In this talk we give an overview of some intertwined probabilistic problems which arise due to their relevance within mathematical finance. More precisely, we will see how questions related to pricing and hedging in financial markets — when acknowledging uncertainty about how to accurately model that market — are linked to the following problems: optimal transport problems under martingale constraints, stochastic control problems featuring measure-valued martingales, and adapted notions of distances between stochastic processes. We’ll discuss some recent results in those areas and also point out some open problems.

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