Good one! Also, uuu poor fishy! (a vegetarian here)

Yes, we had this idea to share extensively the Christmas carp tradition to finally get rid of the pest from Aussie rivers using market mechanisms 🤩

In my field, Bayesian macroeconometrics, we have posterior draws (one dimension) for parameters that are time-varying matrices (extra three dimensions). What do people do without 4D arrays?! And then, you introduce regime dependence (fifth) 😎 it’s so much fun with arrays!

Yes, the post is very useful to begin with!

These arrays/tensors and apply functions are the best! Every time you move to a different language and it only has 3D cubes at best, it’s such a drag that I’m back to R in seconds!

This should be legislated!

So my strategy of not doing anything until they know what’s going on was successful thus far 😎 But I manage 3 grants this year so I’m sure it’s gonna hit me hard 🔨

You should see my selfie on a tram today 🙃

We had a departmental meeting and, oh boy, it was a darmedy with the accounts and budgets!

🤷‍♀️ That's what market participants think. Different forces are pulling in opposite directions, and no one is 100% certain about the course of action. 🤷‍♀️

🌐 My forecasts are available at: forecasting-cash-rate.github.io

WE DID NOT

10K downloads from Nov last year! 🚀

This is exactly what I meant 🙂

True! Although, as much as there's lots of sharing, there's also lots of personal glory! Still, not too bad!

✅ we show that it's great for analysing fiscal policy effects on the economy
✅ it's the methodological paper for my bsvars package

YAY! 👍

✅ we analyse the prior for conditional variances of the non-centred Stochastic Volatility
✅ we argue it's perfect for Structural VARs bc:
1️⃣ it normalises the system
2️⃣ allows reliable verification of partial identification
3️⃣ leads to more precise estimates
www.sciencedirect.com/science/arti...
👇