Lecture 40: Auctions as Bayesian Games –Sealed Bid First Price



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Prof. Aditya K. Jagannatham ( is a Professor in the Electrical Engineering department at IIT Kanpur, where he holds the Arun Kumar Chair Professorship and is a well-known expert and trainer on 5G technologies. He received his Bachelor’s degree from the Indian Institute of Technology, Bombay, and M.S. and Ph.D. degrees from the University of California, San Diego, U.S.A. From April ’07 to May ’09 he was employed as a senior wireless systems engineer at Qualcomm, San Diego, California, where he was a part of the Qualcomm CDMA technologies (QCT) division. His research interests are in the area of next-generation wireless networks, with a special emphasis on various 5G technologies such as massive MIMO, mmWave MIMO, FBMC, NOMA, Full Duplex, and others. His work has been published extensively in leading international IEEE journals and conferences and has been recognized with several awards including the CAL(IT)2 fellowship at the University of California San Diego, Upendra Patel Achievement Award at Qualcomm, P.K. Kelkar Young Faculty Research Fellowship, Qualcomm Innovation Fellowship (QInF), Arun Kumar Chair and the IITK Excellence in Teaching Award. Strategy: An Introduction to Game Theory by Prof. Vimal Kumar, Professor
Department of Economic Sciences, IIT Kanpur and Prof. Aditya Jagannatham,
Professor Electrical Engineering Department, IIT Kanpur

Strategy: An Introduction to Game Theory by Prof. Vimal Kumar, Professor
Department of Economic Sciences, IIT Kanpur and Prof. Aditya Jagannatham,
Professor Electrical Engineering Department, IIT Kanpur

5 comments

  1. Hi.Thank you for this excellent presentation.I have watched all the videos and find them super useful.Unfortunately, there is 1 exercise about game theory that I can't solve.Pleaseee could you help me? Pleasee
    This is the exercise:

     
    B.  Consider a sealed‐bid first‐price auction. There are two bidders, 1 and 2, with valuations for the good
    of v1 and v2, respectively. Each buyer’s valuation is his/her own private information. v1 is uniformly
    distributed on include (0,1) and v2 is uniformly distributed on include (0,2). So player 1, for instance, knows  v1 exactly
    but regarding v2 he/she knows only that it is uniformly distributed between 0 and 2. 
    1. Define the Bayesian equilibrium for this game.
    2. Find a Bayesian equilibrium. 
    3. Discuss uniqueness.

  2. Your videos are great! Thank you for them. Though, they are long, just a positive critique, if you just write when you talk instead of explaining and then writing; because i understand writing takes longer. Otherwise one can always type in a notepad/word. Thank you!

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