@matthew_daniels Awesome visualizations of the Dragon Kings statistical phenomenon: https://t.co/LONs2TXfZt
Dragon-kings: mechanisms, statistical methods and empirical evidence; Sornette & Ouillon (2012) https://t.co/qfsUUlCrKH
As Didier Sornette & Guy Ouillon put it: “Standard extremal models cannot account for this catastrophic rainfall due both to inaccurate tail modeling and to an inadequate treatment of clusters of rare events.” https://t.co/qfsUUlCrKH https://t.co/sdpTp
@ricardomdasilva Ah sim! Isso concordo plenamente. O meu comentário era específico s/ waterspouts/tromba d’água, q são eventos meteorologia de baixo impacto. Sobre como clima, cálculos de tempo de recorrência, etc... mascaram extremos, recomendo essa leitu
@DustyBowl Interesting discussion by Sornette & Ouillon on statistics of extremes. Floods & Hurricanes, sec. 4.1-4.2: https://t.co/qfsUUlCrKH
@rarohde Exactly! Sornette & Ouillon explain this clearly in sections 4.1 and 4.2: https://t.co/qfsUUlCrKH
@rarohde TY! Finally sober comment about precipitation prob derived from statistics. Good critique, sections 4.1 & 4.2: https://t.co/qfsUUlCrKH
@JoanneNova Statistically, not even a 'thing'. Section 4.2; Hurricanes as 'Dragon Kings'. https://t.co/BeSvT76Wio
@Sylvius_the_Mad @micki5pints @SteveSGoddard @ClimateDepot 'Dragon Kings' don't even play by the odds. https://t.co/1KiqT5urfv
@SteveSGoddard 'Dragon Kings' don't even play by the odds. https://t.co/1KiqT5urfv
@lbergkamp Worth a read; https://t.co/MzOjPVszGc
RT @nntaleb: @brunoboni @GeorgeMonbiot @yaneerbaryam This gives the peak to valley extremes nonmarkov https://t.co/lYoctkIJVy
@geoffmprice @ClimateOfGavin Absolutely Geoff! Attributing non-Markovian, non-Pareto distributed 'Dragon King' weather events is sci-trolling. https://t.co/CK4mI5g7cx.…
@brunoboni @GeorgeMonbiot @yaneerbaryam This gives the peak to valley extremes nonmarkov https://t.co/lYoctkIJVy
@nntaleb @GeorgeMonbiot Here is Sornette and Ouillon's take, sections 4.1 and 4.2: https://t.co/qfsUUlCrKH https://t.co/qMRyh7INVe
@cohan_ds @UWCIMSS @UWSSEC Sections 4.1 and 4.2 are interesting read https://t.co/qfsUUlU2Cf
@doriantaylor don't forget about Dragon Kings beyond the power laws! https://t.co/LONs2UeQR1
RT @insurrealist: Dragon-kings: mechanisms, statistical methods and empirical evidence https://t.co/BNud2ttJ0A
RT @insurrealist: Dragon-kings: mechanisms, statistical methods and empirical evidence https://t.co/BNud2ttJ0A
RT @insurrealist: Dragon-kings: mechanisms, statistical methods and empirical evidence https://t.co/BNud2ttJ0A
.@aidanhorner I only just learned about 'Dragon-kings' see http://t.co/PpXGheuQfj
Dragon -kings: mechanisms, statistical methods and empirical evidence http://t.co/zRccuYRN45 #TED #TEDxDhaka
RT @pkedrosky: Dragon-kings: mechanisms, statistical methods and empirical evidence http://t.co/VDA0Emmc
RT @pkedrosky: Dragon-kings: mechanisms, statistical methods and empirical evidence http://t.co/VDA0Emmc
Dragon-kings: mechanisms, statistical methods and empirical evidence http://t.co/VDA0Emmc