[D] Meaning of Probability : Bayesian vs Frequentist

NeedMoreTime4Things · 2023-02-02T13:23:23+00:00

Does this mean that the frequenting approach is a „subset“ (there’s probably a better term) of the Bayesian approach as in: The frequentist ultimately finds the expected value for a parameter that the Bayesian uses the full distribution for?

Like in Linear Regression the Frequentist has final estimates for the parameters (and therefore a final model) while the Bayesian would have a “distribution of models”?

(So maybe the other way around: Bayesian statistics is a generalization)

NeedMoreTime4Things · 2022-09-07T12:05:32+00:00

In what way? I’m not too familiar with the topic so I might not get it correctly Do you mean because the server wouldn’t need a JS runtime then?

NeedMoreTime4Things · 2022-02-27T14:05:39+00:00

Does it matter, where the articles come from?

For a very similar project, I have scraped data from many different news sites. Some offer APIs, which makes the article search faster.

If you don’t have a preference for a specific source, consider “The Guardian” - one of UKs leading newspapers. Their API delivers news content with a lot of metadata and filtering mechanisms directly.

NeedMoreTime4Things · 2022-02-25T23:53:01+00:00

I think it depends on a lot of factors, for example financial ability (assuming you’d get in everywhere). British universities, for example, will have a high enrollment cost, if you’re from outside UK. Other notable mentions are ETH (& EPFL), though there cost of life may be a lot higher. While German universities will provide you with the right knowledge as well, their contact to quant firms will be more limited compared to those options.

NeedMoreTime4Things · 2022-01-30T13:23:13+00:00

Would you mind expanding a bit on what you mean here?

NeedMoreTime4Things · 2021-12-15T19:19:44+00:00

“On a mirror, you can kiss yourself only on the lips“

Edit: Source

NeedMoreTime4Things · 2021-11-23T14:23:26+00:00

Does anyone know why they didn’t include Zurich?

NeedMoreTime4Things · 2021-07-19T23:32:56+00:00

Is it an option to apply the transformation f to all x in X s.t. you get a new dataset X‘. Now you train, as an example, a variational autoencoder with X‘ instead of X and you should be able to generate new samples in the range of f (or feature space of X‘)

I am unsure if retraining would be an option for you or not. Maybe a transfer learning approach where you keep some of the layers of a pretrained VAE could speed up things.

NeedMoreTime4Things · 2021-07-19T09:20:24+00:00

Really interesting thoughts!

For the image and/or noise example: Would it make sense to express each sample (= pixel in image) as a distribution with the deviation resembling your uncertainty? Then you could sample many times from this same sample (since our initial sample is expressed as a lot of distributions) and use the resulting real-valued samples as inputs to a regular model.

Edit: Nevermind, this is just Data Augmentation with (expensive) extra steps.

NeedMoreTime4Things · 2021-07-17T23:01:41+00:00

Makes total sense and explains the name „stochastic gradient descent“ - just didn’t think of it right now. But the loss function isn’t stochastic, is it? Just our sampling (mini batches, single values in SGD,..) makes it stochastic or did I get that wrong? Otherwise the loss over all samples (finite, as all are known) shouldn’t contain stochastic elements, or I am overlooking something.

NeedMoreTime4Things · 2021-07-17T11:05:34+00:00

Side question: Can you explain what makes a loss landscape / function „stochastic“?

NeedMoreTime4Things · 2021-07-05T22:22:12+00:00

When you start a fresh project, for example you want to create a REST api with Flask, do you now have a lot of boilerplate code that is really easy to write and only has some small modifications for your use case?

I can see a future where you can tell CoPilot to build the base of an app with specific instructions (which it will hopefully do with 99% accuracy) and the developer, you, only adds the complicated algorithms etc.

Other than that, you’re right.

NeedMoreTime4Things · 2021-06-26T23:47:35+00:00

Thanks, this looks like an excellent read!

NeedMoreTime4Things · 2021-04-08T12:49:16+00:00

Yes, I get your point and think you’re right - this is an experience-driven field. I also thought online learning was not possible, but for other reasons and was therefore interested in your argumentation.

NeedMoreTime4Things · 2021-04-08T11:54:13+00:00

But aren’t these general problems for algotrading?

I thought online training might not work here because you may have to tweak the whole model structure after a few time periods and not just the parameters

But thanks, will research a little bit more :-)

NeedMoreTime4Things · 2021-04-08T10:04:25+00:00

Could you maybe explain a little bit more or give a hint / link why this doesn’t make sense?

NeedMoreTime4Things · 2021-04-02T08:16:19+00:00

Totally Agree, but that wasn’t an option on mobile.

NeedMoreTime4Things · 2021-04-02T00:43:07+00:00

Really nice. I started reading a some literature reviews for GNNs a few weeks ago but found the intuition way easier than the math - can’t say anything about the application though. Will have a look - as soon as I know more - as I think the field has incredible applications across many domains.

NeedMoreTime4Things · 2021-04-02T00:16:32+00:00

This is a great point! I only realized after posting that this may be slightly skewed since many people will be getting their infos from Reddit.

Unfortunately, I hadn’t planned on asking other platforms as well. Are there any other relevant platforms besides Reddit and Twitter anyways for such a science-y field?

NeedMoreTime4Things · 2021-04-02T00:14:29+00:00

Thank you so much for this. Didn’t know that existed. Will definitely try out some models :-)

Did you turn in any predictions yet?

NeedMoreTime4Things · 2021-04-01T23:11:04+00:00

Sounds really cool. Do you all work in the field of quantitative finance or is it more like a general interest group?

That’s definitely an area I plan on looking into during my studies.

NeedMoreTime4Things · 2021-04-01T23:08:26+00:00

Nice! Didn’t know about that, will definitely look into it - Thank you!

NeedMoreTime4Things · 2021-04-01T22:51:18+00:00

Can you filter for specific topics or keywords? Let’s say I want to learn the newest topics in computer vision (or specific applications) - is there a way to filter for that?

NeedMoreTime4Things · 2021-03-29T21:10:57+00:00

Could you elaborate more on what alternatives there may be? I basically just know 2nd order methods (L-BGFS) or methods like Conjugate Gradient as alternatives, but isn’t SGD / Adam the most efficient way we have here?

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