Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A6773415279113375744
Great #Statistics Text: #RealWorld is #NonNormal & #NonLinear: Here is a [reader friendly] post-doc thesis [ https://lnkd.in/eQc_gzw ] and R&D leading industry practices [ https://lnkd.in/gFn4Vm2 ] that will help many introduced to Normal #Statistics and #Probability to fast-forward to real practices spanning Silicon Valley, Wall Street, and, Pentagon. Also, some of the following industry presentations can help provide intuitive understanding about the real world #Uncertainty and #Complexity that have guided my R&D [ #Frameworks: https://lnkd.in/eQAR3rd ] as well as practices.
From #Quantitative #Finance & #Trading Field
That Leads Quant Practices Across Disciplines:
Princeton University Presentations, 2015 and 2016 presentations on #ModelRiskManagement ( https://lnkd.in/eDE4UTr ) and #ModelRiskArbitrage ( #BlackHat #CyberFinance : https://lnkd.in/euWCMmX ), 2018: AI-ML-GANs: https://lnkd.in/e5-asuY . J.P. Morgan and Goldman Sachs focus on #AnticipationOfSurprise ( FutureOfFinance.org #BeyondData), CFA Society Rochester #AutoML Keynote ( https://lnkd.in/ech3rhN ), #Complex #Risk #Modeling (e.g. #CreditRisk, #MarketRisk, #LiquidityRisk) such as: #JPMorgan Paper on #VaR, #ES and #EVT : https://lnkd.in/eYBKP9G and HQ Presentation: https://lnkd.in/eFy4UaS :
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