Tessera
Folgen

Sai Krishna

@thechaoticneuron.bsky.social

I do statistics ๐Ÿ“ˆ, writing โœ๏ธ and acting ๐ŸŽญ - in no certain order Here to become wiser with every post. https://d-saikrishna.github.io/

78 Posts87 Follower12 Folgt
Sai Krishna@thechaoticneuron.bsky.social ยท 2y ago

When I write stories, I ensure that I have the climax first with all its payoffs ๐Ÿ˜

Matt Thompson@matt-thompson.bsky.social ยท 2y ago

I have started #writing backwards for my #PhD papers, and I have noticed a clear improvement in my sentence structure, grammar, and flow. I never thought about starting with the #conclusion, but now that I have, I am not going back โ€” only backwards! I highly recommend doi.org/10.1007/s429.... ๐Ÿงช

Sai Krishna@thechaoticneuron.bsky.social ยท 2y ago

๐–๐ก๐ž๐ง ๐ฌ๐ก๐จ๐ฎ๐ฅ๐ ๐ฒ๐จ๐ฎ ๐›๐ซ๐ฎ๐ฌ๐ก ๐ฒ๐จ๐ฎ๐ซ ๐ญ๐ž๐ž๐ญ๐ก? 1. Brush twice a day โ€” Morning and Night after dinner. 2. Morning, itโ€™s better to ๐›๐ซ๐ฎ๐ฌ๐ก ๐š๐Ÿ๐ญ๐ž๐ซ ๐›๐ซ๐ž๐š๐ค๐Ÿ๐š๐ฌ๐ญ. If you find it scandalous, read this blog! medium.com/@saikrishna_... #rstats #Stats #StatSky ๐Ÿค–๐Ÿ“ˆ

When to brush your teeth? A good ANOVA study!

I found this paper which did a simple ANOVA study to find out when should one brush their teeth!

medium.com

Sai Krishna@thechaoticneuron.bsky.social ยท 2y ago

TL;DR Paper tried to compare air quality between land cover classes using Kruskal Wallis tests link.springer.com/article/10.1... But practical significance seems neglected for statistical significance. What do you say? #Stats #rstats ๐Ÿค–๐Ÿ“ˆ medium.com/@saikrishna_...

Statistical issues in this paper studying relation between air quality and LULC

A paper got published in Environmental Monitoring and Assessment. It studied relation between land-use classes (Urban, Shrubland, Forestโ€ฆ

medium.com

Sai Krishna@thechaoticneuron.bsky.social ยท 2y ago

๐Ÿ›๏ธ Interesting argument on lack of democratic accountability ๐Ÿ›๏ธ osf.io/preprints/os... 1. Itโ€™s not the lack of awareness. But political partisanship is an obstacle to accountability. 2. Lack of social capital. Public support to policies that preserve public goods reduces if there is personal cost

Bild
Nabeel Siddiqui@nabsiddiqui.bsky.social ยท 2y ago

This is my yearly reminder that published results of coefficients using logistic regression in Python are likely wrong because they are L2 penalized by default: github.com/scikit-learn... #rstats #statistics #digitalhumanities

Suggestion: Add support for unpenalized logistic regression ยท Issue #6738 ยท scikit-learn/scikit-learn

LinearRegression provides unpenalized OLS, and SGDClassifier, which supports loss="log", also supports penalty="none". But if you want plain old unpenalized logistic regression, you have to fake it...

github.com

Sai Krishna@thechaoticneuron.bsky.social ยท 2y ago

If I ask you to forecast pollution in Delhi on some random day, you'd say a number X If I further ask you to forecast on a Winter Day, you'd top up X with some y This is Bayes theorem running in your head. This blog attempts to quantify it medium.com/@saikrishna_... #rstats #stats ๐Ÿค–๐Ÿ“ˆ

Bayesian probabilistic forecasts using categorical information | Part 1

In this blog, I will make Bayesian forecasts of Ozone concentrations.

medium.com

Sai Krishna@thechaoticneuron.bsky.social ยท 2y ago

No answers :/ Anyways. Even without an uninformative prior, we provide a bounded prior in a Bernoulli trial. P(p) = 1 (when 0<=p<=1) P(p)=0 (otherwise) So the bayesian estimates are informed of this bounded nature of p. The MLE doesnโ€™t consider that. Hence the difference. #rstats #stats ๐Ÿค–๐Ÿ“ˆ

Sai Krishna@thechaoticneuron.bsky.social ยท 2y ago

Quiz time! Why is the Maximum Likelihood Estimate (MLE) of probability of success (p) in a Bernoulli trial not equal to the Bayesian Estimate? p_mle = r/n p_bayesian = (r+1)/(n+2) (Assuming uninformative prior) r = number of successes n = number of trials #rstats #stats ๐Ÿค–๐Ÿ“ˆ

Sai Krishna@thechaoticneuron.bsky.social ยท 2y ago

Quiz time! Why is the Maximum Likelihood Estimate (MLE) of probability of success (p) in a Bernoulli trial not equal to the Bayesian Estimate? p_mle = r/n p_bayesian = (r+1)/(n+2) (Assuming uninformative prior) r = number of successes n = number of trials #rstats #stats ๐Ÿค–๐Ÿ“ˆ

Sai Krishna@thechaoticneuron.bsky.social ยท 2y ago

So if x^2 is the confounder, adding x to the model may not completely remove the Omitted Variable Bias ๐Ÿ˜ฌ๐Ÿ˜ฌ๐Ÿ˜ฌ Seems obvious now. But wow, thatโ€™s an interesting thing! Makes causal inference more complex

AAndrew Gelman et al.@statmodeling.bsky.social ยท 2y ago

Bias remaining after adjusting for pre-treatment variables. Also the challenges of learning through experimentation. statmodeling.stat.columbia.edu/2024/12/10/b...

Sai Krishna@thechaoticneuron.bsky.social ยท 2y ago

๐–๐ก๐š๐ญ ๐ข๐ฌ ๐ข๐ง๐Ÿ๐จ๐ซ๐ฆ๐š๐ญ๐ข๐จ๐ง? It impinges on a thinking mind and makes it change its opinion. How should this change be affected? ๐๐€๐˜๐„๐’ ๐“๐‡๐„๐Ž๐‘๐„๐Œ. ๐“๐ก๐ž ๐ฅ๐ข๐ค๐ž๐ฅ๐ข๐ก๐จ๐จ๐ ๐Ÿ๐ฎ๐ง๐œ๐ญ๐ข๐จ๐ง ๐ ๐ž๐ง๐ž๐ซ๐š๐ญ๐ž๐ ๐›๐ฒ ๐ญ๐ก๐ž ๐๐š๐ญ๐š ๐ข๐ฌ ๐ญ๐ก๐ž ๐ˆ๐ง๐Ÿ๐จ๐ซ๐ฆ๐š๐ญ๐ข๐จ๐ง - an extract from an autobiographical essay of statistician Debabrata Basu #stats #rstats ๐Ÿค–๐Ÿ“ˆ

Sai Krishna@thechaoticneuron.bsky.social ยท 2y ago

Time to revise โ€œValue of Scienceโ€ essay by Richard Feynman calteches.library.caltech.edu/1575/1/Scien...

calteches.library.caltech.edu

Veronika Meduna@veronikameduna.bsky.social ยท 2y ago

Science minister Judith Collins just announced she's changing the Marsden Fund rules so that 50% of funds go towards supporting proposals with "economic benefits to New Zealand". This is the only fund for fundamental 'blue-sky' research www.beehive.govt.nz/release/mars...