Dear All, The CEU Department of Cognitive Science and the Center for Cognitive Computation (CCC) invites you to the upcoming event of the Budapest Computational Neuroscience Forum<https://ccc.ceu.edu/budapest-computational-neuroscience-forum>um>. Speaker: József Konczer<https://konczer.github.io/> Title: Statistical Games, Playful approach to statistics Abstract: This work contains the mathematical exploration of a few prototypical games in which central concepts from statistics and probability theory naturally emerge. The first two kinds of games are termed Fisher and Bayesian games, which are connected to Frequentist and Bayesian statistics, respectively. Later, a more general type of game is introduced, termed Statistical game, in which a further parameter, the players' relative risk aversion, can be set. In this work, we show that Fisher and Bayesian games can be viewed as limiting cases of Statistical games. Therefore, Statistical games can be viewed as a unified framework, incorporating both Frequentist and Bayesian statistics. Furthermore, a philosophical framework is (re-)presented -- often referred to as minimax regret criterion -- as a general approach to decision making. The main motivation for this work was to embed Bayesian statistics into a broader decision-making framework, where, based on collected data, actions with consequences have to be made, which can be translated to utilities (or rewards/losses) of the decision-maker. The work starts with the simplest possible toy model, related to hypothesis testing and statistical inference. This choice has two main benefits: i.) it allows us to determine (conjecture) the behaviour of the equilibrium strategies in various limiting cases ii.) this way, we can introduce Statistical games without requiring additional stochastic parameters. The work contains game theoretical methods related to two-player, non-cooperative games to determine and prove equilibrium strategies of Fisher, Bayesian and Statistical games. It also relies on analytical tools for derivations concerning various limiting cases. Time: 17:30 Tuesday, 5 November 2024. Location: CEU Budapest (1051 Budapest, Nádor u. 15.) N15. room 203. Zoom: Meeting ID: 976 1541 3014<https://ceu-edu.zoom.us/j/97615413014?pwd=BbaIDK56amazlaex84ukFP3MEurhMX.1> Passcode: 525888 Should you have any inquiries about the series, please contact Mihály Bányai<mailto:mihaly.s.banyai@gmail.com>. Please, be informed that video/photo recording might take place at the event and the edited version of the video material might be published to communicate or promote CEU's activities. Please, find our Privacy Notice here<https://www.ceu.edu/privacy>cy>. Best regards, Ildikó Varga Department Coordinator (Budapest) Department of Cognitive Science [cid:447b18a6-abf1-4517-86f3-13befdd7f579] H-1051 Budapest Nádor u. 15. FT room 404. tel: +36-1 327-3000 2941 http://www.ceu.edu<http://www.ceu.edu/> http://cognitivescience.ceu.edu<http://cognitivescience.ceu.edu/> ________________________________ From: Ildiko Zsoka Varga Sent: Wednesday, October 30, 2024 10:01 AM To: &#39;talks(a)cogsci.ceu.edu (talks(a)cogsci.ceu.edu)&#39; &lt;talks(a)cogsci.ceu.edu&gt; Subject: Budapest Computational Neuroscience Forum: József Konczer, 5 November, 17:30 Dear All, The CEU Department of Cognitive Science and the Center for Cognitive Computation (CCC) invites you to the upcoming event of the Budapest Computational Neuroscience Forum<https://ccc.ceu.edu/budapest-computational-neuroscience-forum>um>. Speaker: József Konczer<https://konczer.github.io/> Title: Statistical Games, Playful approach to statistics Abstract: This work contains the mathematical exploration of a few prototypical games in which central concepts from statistics and probability theory naturally emerge. The first two kinds of games are termed Fisher and Bayesian games, which are connected to Frequentist and Bayesian statistics, respectively. Later, a more general type of game is introduced, termed Statistical game, in which a further parameter, the players' relative risk aversion, can be set. In this work, we show that Fisher and Bayesian games can be viewed as limiting cases of Statistical games. Therefore, Statistical games can be viewed as a unified framework, incorporating both Frequentist and Bayesian statistics. Furthermore, a philosophical framework is (re-)presented -- often referred to as minimax regret criterion -- as a general approach to decision making. The main motivation for this work was to embed Bayesian statistics into a broader decision-making framework, where, based on collected data, actions with consequences have to be made, which can be translated to utilities (or rewards/losses) of the decision-maker. The work starts with the simplest possible toy model, related to hypothesis testing and statistical inference. This choice has two main benefits: i.) it allows us to determine (conjecture) the behaviour of the equilibrium strategies in various limiting cases ii.) this way, we can introduce Statistical games without requiring additional stochastic parameters. The work contains game theoretical methods related to two-player, non-cooperative games to determine and prove equilibrium strategies of Fisher, Bayesian and Statistical games. It also relies on analytical tools for derivations concerning various limiting cases. Time: 17:30 Tuesday, 5 November 2024. Location: CEU Budapest (1051 Budapest, Nádor u. 15.) N15. room 203. Zoom: Meeting ID: 976 1541 3014<https://ceu-edu.zoom.us/j/97615413014?pwd=BbaIDK56amazlaex84ukFP3MEurhMX.1> Passcode: 525888 Should you have any inquiries about the series, please contact Mihály Bányai<mailto:mihaly.s.banyai@gmail.com>. Please, be informed that video/photo recording might take place at the event and the edited version of the video material might be published to communicate or promote CEU's activities. Please, find our Privacy Notice here<https://www.ceu.edu/privacy>cy>. Best regards, Ildikó Varga Department Coordinator (Budapest) Department of Cognitive Science [cid:ccecb7df-0ac9-4d85-9b7f-73dad69412e4] H-1051 Budapest Nádor u. 15. FT room 404. tel: +36-1 327-3000 2941 http://www.ceu.edu<http://www.ceu.edu/> http://cognitivescience.ceu.edu<http://cognitivescience.ceu.edu/> ______________________________________________ Subscribe by sending an empty mail to talks-subscribe(a)cogsci.ceu.edu Unsubscribe by sending an empty mail to talks-unsubscribe(a)cogsci.ceu.edu