Peter Fennell

Networks | Statistics | Machine Learning. Data Scientist @talamobile

[Peter Fennell @fennell_p]

@johncreedon hello to James, Laura and Mint in Brooklyn NY. Glad to have Pete, Ais and Bláth home from LA during lockdown, these Californians have even got Grandma in for a swim on Christmas Day. Happy Christmas to you John and all your listeners. Catherine Fennell

[Peter Fennell @fennell_p]

@VirginAtlantic will your flights LHR to LAX still be going ahead on Jan 8th and 9th?

[James Gleeson @gleesonj]

Great to finally have this collaboration with @tomo_onaga @fennell_p @DavidJPOS on arXiv (they all did great work, the slowness on getting it out is entirely mine!)

[Peter Fennell @fennell_p]

@CathalPCummins Good man Cathal!

[James Gleeson @gleesonj]

Why pooling expertise to tackle Covid-19 works https://t.co/LsIoDT6wJI from @thatsmaths via @IrishTimes

[Peter Fennell @fennell_p]

WTF

[shing yin khor @sawdustbear]

Los Angeles, here's something else to leave a public comment on. Council File: 20-0190(link in next tweet) is an amendment to the municipal code to allow park rangers to be ARMED ON DUTY and the only public comment on it in three days is mine.

https://t.co/68THTqONhu

[Robert Gaustad @RMGaustad]

@slavetothehat @tiniskwerl Please invade us. Our doors are open and nobody is home in Washington.

[Mark Richardson @slavetothehat]

I work for the Canadian federal government and they sent out an email with work at home guiding principles. It’s amazing to work for a place that speaks like this.

[Peter Fennell @fennell_p]

@Ciaran_MR Congrats Ciaran!

[Peter Fennell @fennell_p]

@Gar_OK @INFORMS What have they got themselves into!

[Peter Fennell @fennell_p]

@TogherAC THIS. IS. JUST. GOLDEN!!!

[Casual Inference Podcast @casualinfer]

Episode 11 is out now, with special guest @f2harrell! Recorded on location in Nashville back in February. On this episode we chat about:
🤷‍♀️What it means to be Bayesian
📈How to decide if our models are good
🎶 And more!
cc @amjepi https://t.co/ZlkfjyXSaY

[Sam Scarpino @svscarpino]

New pre-print on crowding and the epidemic intensity of #COVID19 transmission. We find evidence that the metapopulation structure of dense cities leads to less intense, but more prolonged outbreaks. https://t.co/JUE6oWHtST

[Sam Scarpino @svscarpino]

Very much motivated by foundational work from @duncanjwatts, Roby Muhamad, Daniel C. Medina, and @peterdodds. https://t.co/B6yOpYkz4i

[Constance Crozier @clcrozier]

I spent a humiliating amount of time learning how to make animated graphs, just to illustrate a fairly obvious point.

“Forecasting s-curves is hard”

My views on why carefully following daily figures is unlikely to provide insight.

https://t.co/yrE71bUXVT

[Kevin O'Brien @dragonflystats]

R at the BBC - Really cool post.

Deploying R models in production with Apache Airflow and AWS Batch by Teodor Popescu https://t.co/ItW41P5BFC

#rstats

[Kevin Systrom @kevin]

For those of you that are interested in the statistics and code used to generate this, I've made the notebook available here: https://t.co/YxC3oCT8AS

[Kevin Systrom @kevin]

There's one metric that can help us through the next few months. For your Sunday reading, here's what it is, how to calculate it, and what it looks like by US State https://t.co/VkIMAb6xe1

[Anup Malani @anup_malani]

As always, a though-provoking post by @tylercowen. I like to think it is about how to improve epidemiology, not a critique.

https://t.co/sNlZ1MSp5R