For data scientists, statisticians & proud non-conformists. Wear your authenticity! 💯
🔗 https://celestia-quixs-shop.fourthwall.com/products/outliers-t-shirt
#Outliers #Statistics #DataScience #MathLife #StatementTee
#statstab #519 Sensitivity Analysis and Robustness Checks
Thoughts: Multiverse analysis allows you to capture decision uncertainty.
#multiverse #jackknife #bias #robustness #sensitivity #r #outliers
https://mike-data-analysis.share.connect.posit.cloud/sensitivity-analysis-and-robustness-checks.html
#statstab #516 Is there a boxplot variant for Poisson distributed data?
Thoughts: People like their canned visualisations, but you need to think what question you are answering.
#poisson #boxplot #sqrttransform #dataviz #r #outliers #distribution
#statstab #385 Understanding and Implementing Robust Regression in R
Thoughts: Not a thorough guide, but shows how simple it is to use a robust regression (rlm vs lm).
#R #regression #robust #statistics #guide #tutorial #outliers #Mestimator
https://www.spsanderson.com/steveondata/posts/2023-11-28/index.html
'Outlier Robust and Sparse Estimation of Linear Regression Coefficients', by Takeyuki Sasai, Hironori Fujisawa.
http://jmlr.org/papers/v26/23-1583.html
#outlier #outliers #robust
A quotation from Nassim Nicholas Taleb
Cumulative errors depend largely on the big surprises, the big opportunities. Not only do economic, financial, and political predictors miss them, but they are quite ashamed to say anything outlandish to their clients — and yet events, it turns out, are almost always outlandish.Nassim Nicholas Taleb (b. 1960) Lebanese-American essayist, statistician, risk analyst, aphorist
The Black Swan, Part 2, ch. 10 “The Scandal of Prediction” (2007)
Sourcing, notes: wist.info/taleb-nassim-nichola…
#quote #quotes #quotation #qotd #blackswan #cumulativeerror #error #events #outlandishness #outliers #prediction #surprise
#Day7 of #30DayChartChallenge, theme: #Outliers
📦📉 Comparativa Boxplot: Rentabilidades log diarias de IBEX 35, S&P 500, Nasdaq (~3 años).
Nasdaq destaca por mayor volatilidad (IQR ~1.64% vs ~1.1%) y outlier máximo (+7.1% el 10-Nov-2022). Todos muestran "colas anchas".
Data: Yahoo Finance via #rstats {quantmod}. Viz: #ggplot2
📂 Código: https://t.ly/JxcM1
#dataviz #finance #StockMarket #Volatility #quant #IBEX35 #SP500 #Nasdaq
We the people species now classified
by the autonomous bots
as a rough approximation
of the standard median deviation
duly notated in the analytic bible
we are required to pray from
So our inevitable dissolution
will be an impersonal data execution
of a cold blooded algorithm
installed to maximize program efficiencies
Once we skewed variances have been classified
and human imperfections properly identified
a massive data dump will be launched
on all infected servers
to flush undesirable #outliers
replete with defective deficiencies
out of the now purified system