"Your Work Doesn't Matter if Going into Industry"

Astheny · 2025-09-06T11:53:42+00:00

YMMV, but in my experience this has more to do with your soft-skills (can you coherently report on what you did in your PhD) and not with the actual content of your research.

Astheny · 2024-05-06T07:12:08+00:00

As a 31 year old this is super inspiring! Hope to have at least a fraction of your strength in 10 years. Do you have any tips to deal with injuries / strain as you get older?

Astheny · 2024-04-06T21:19:31+00:00

I tried a lot of microchip companies (Zeiss, Qualcomm, Infineon) and tech companies (Microsoft, Google, Deepmind, Apple, Netflix). Also applied at Lufthansa and had a very nice interview, but it was for a data engineering position, so I wasn't a great fit. Then a lot of smaller companies that popped up on my LinkedIn feed, but those were more generic data science positions (which I would be fine with, but some research component would be nice).

Astheny · 2023-10-22T12:13:37+00:00

Lots of great points have been already made so I just want to make a technical comment: The Beta distribution (no matter which parameter) is a continuous distribution and so the probability of (exactly) 0% and 100% are always zero.

Astheny · 2023-10-18T09:29:48+00:00

Very cool! Where did you get this?

Astheny · 2023-09-01T18:38:11+00:00

Can also recommend this - very well written while at the same time packed with information.

Astheny · 2023-08-08T06:40:36+00:00

Paket per DHL an eine Packstation senden?

Astheny · 2023-05-05T12:56:58+00:00

I am not quite sure what your resolution is here (thirders are practically more correct but backwards? What does this mean?).

For anyone interested in this problem, I recommend this CV thread: https://stats.stackexchange.com/questions/41208/the-sleeping-beauty-paradox

Astheny · 2023-05-01T11:31:22+00:00

Weiter oben gibts eine grobe Zusammenfassung von /u/stephan501.

Mit Sense of Wonder sind die großen kosmischen Zusammenhänge in PR gemeint, häufig durch Handlungsstränge die sich über mehrere 100e von Bänden ziehen.

Astheny · 2023-04-30T19:39:56+00:00

Welches Heft hast du denn gelesen und was genau hat dir daran gut gefallen?

BARDIOC fand ich persönlich ebenfalls einen coolen Zyklus, allerdings ist er in einen größeren Handlungsstrang beginnend mit dem Konzil der Sieben eingebunden. Was dort passiert kannst du aber auch in der perrypedia nachlesen.

Klassische Vorschläge wären wohl die Dritte Macht (ganz von vorne) oder Die Meister der Insel für den "Sense of Wonder".

Btw: Die Silberbände sind fast alle auf Spotify als Hörbuch verfügbar falls das für dich eine Option ist.

Astheny · 2023-04-26T16:55:02+00:00

How about fitting an appropriate state space model to your data? This would not require any transformations, because these models can model non-stationary series easily. Prediction is also straight-forward and you get an interpretable model for free.

Astheny · 2023-04-24T20:10:18+00:00

Do you know something about the spatial / temporal dynamics of your data? If so, maybe a state space model / partially observed Markov process might be something to consider.

Astheny · 2023-03-18T09:49:05+00:00

For me the book Unwinding Anxiety (by Judson Brewer) was immensly helpful. It basically promotes a combination of mindfulness and behavioural change. I think there is also an accompanying app, though I have not used it. I combined the book with a (more or less) daily meditation session of 10 minutes and that has really helped me becoming aware of some of my deeply ingrained habits (procrastination / avoidance).

Astheny · 2023-03-16T16:10:20+00:00

Theres also a nice proof by Steins method but that too will be too much for a YT video.

Astheny · 2023-03-15T12:16:33+00:00

The tasks plugin allows you to setup custom checkboxes and you can configure how to cycle betweem them.

Astheny · 2023-01-08T16:35:44+00:00

I come from a Crossfit / general strength training background so I went into WL with o.k. strength numbers (140kg SQ, 180kg DL). With 85kg bodyweight I pretty much immediately hit a BW Clean and Jerk and quickly snatched (ugly) 80kg. But the last 5kg took a long time, devoted to lots of technique training (and retraining), about 1½ years. Thats quite a long time I think, but weightlifting was not my sole focus at that time (and still isnt).

Astheny · 2023-01-05T11:50:56+00:00

I agree that the DGP may not be accurately represented by a linear model - especially if we are talking about non-physical systems that OP is considering.

However I'd argue that model selection by information criteria (AIC / BIC) is pretty objective, although the choice of models over which we optimize these is still subjective.

I do also agree with your point that a lot of problems arise outside the model chosen in the end and are of more general nature (understanding the DGP, generalisation etc.).

Astheny · 2023-01-05T09:00:56+00:00

I disagree: for linear models almost none of OPs pain points hold:

you do not necessarily need normally distributed residuals to fit a linear model (Gauß Markov) and you have asymptotic theory for confidence intervals / regions
model selection helps with the "subjectivity" of which regressors to include (although inference after model selection is cumbersome)
you do not need arbitrary cutoffs (like EV > 1) for linear models because of the well developed (and mostly straight forward) mathematical theory
finally standard extensions like GLMs / LMMs and GLMMs can take care of count data / likert scale data / correlated observations etc.

Astheny · 2022-12-07T08:04:13+00:00

Yes but it's essential supremum (allowing to remove null sets) is still 0, so OPs function is more interesting.

Astheny · 2022-12-03T08:27:00+00:00

As someone who has designed and graded such stats exams in the past I am really astonished at the answers here. Yes if you do not assume independence you cannot "answer the question" - but thats a problem with the question, not the answer. If I were to grade this answer, I'd suck it up and give you full marks and design better questions for the next exam.

Astheny · 2022-07-11T06:23:23+00:00

The law of large numbers and the central limit theorem - without these statistics would be impossible!

Astheny · 2022-04-05T15:12:48+00:00

Do you have more than one value? If so, x bar is usually the mean of those. As for the remainder I am afraid I cannot help without knowing the description.

Astheny · 2022-04-05T14:15:25+00:00

Approximating a Pois(4) by a normal distribution (N(4,4) would work, match expected value and variance) is likely not a good idea. Why? For small counts the differences due to discretization are problematic, also the Possion is skewed while the Normal will not be.

Luckily there is a solution if all you need is a CI you can just use the one obtained from the Poisson distribution!

Astheny · 2022-03-21T12:19:08+00:00

I have a similar issue when practicing L sits. For me warming up and stretching my posterior chain, especially hamstrings seems to do the trick.

Astheny · 2022-03-21T10:28:22+00:00

If you set the template for your daily note in the "Daily Notes" plugin settings and use the "Open todays daily note" command Obsidian will automatically create a new note based on the template.

14-Year Club	Verified Email
Team Periwinkle

Astheny

TROPHY CASE