User Romke Bontekoe

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Maximize Likelihood in Machine learning

answered May 30, 2023 at 11:25

5 votes

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How to calculate the error on the ratio of a counting experiment?

answered May 24, 2023 at 12:50

3 votes

What is likelihood actually?

answered Mar 14, 2023 at 8:57

3 votes

KL Divergence, which pdf is which?

answered Nov 20, 2023 at 20:41

3 votes

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Analysis of Alzheimer data

answered Jan 24 at 13:42

2 votes

Why are these file sizes not normally distributed?

answered May 28 at 5:21

2 votes

What theories, papers, or books examine low-probability events, particularly as the number of trials approaches infinity?

answered Apr 1, 2023 at 19:38

1 vote

How to properly put lower/upper limits on a Bayesian posterior

answered May 18, 2023 at 19:00

1 vote

Looking for a mathematical book on probability and statistics

answered Jun 22 at 6:42

1 vote

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Why does Jaynes' multi-dimensional $A_p$ distribution take this form?

answered Dec 2 at 20:58

0 votes

Who are some famous statisticians from the 20th or 21th century, who didn't have a formal training in statistics?

answered Jun 27 at 17:31

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regarding generating synthetic data simulating the real data

answered May 27, 2023 at 5:51

0 votes

Estimating the Distribution of the data

answered Dec 21, 2023 at 9:29

0 votes

In Bayesian linear regression Advantages of predictive posterior compared to posterior of model coefficients

answered Jun 4, 2023 at 15:01

-1 votes

Are “Data are fixed” in Bayesian viewpoint and “Data are random” in frequentist viewpoint talking about the same thing mathematically?

answered Apr 7 at 10:55

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Independence and conditional independence in probability

answered Jul 28, 2023 at 20:37

-4 votes

iid data (Bayesian) vs iid random variables (Frequentist)?

answered Jul 9, 2023 at 13:53

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17 Answers

Maximize Likelihood in Machine learning

How to calculate the error on the ratio of a counting experiment?

What is likelihood actually?

KL Divergence, which pdf is which?

Analysis of Alzheimer data

Why are these file sizes not normally distributed?

What theories, papers, or books examine low-probability events, particularly as the number of trials approaches infinity?

How to properly put lower/upper limits on a Bayesian posterior

Looking for a mathematical book on probability and statistics

Why does Jaynes' multi-dimensional $A_p$ distribution take this form?

Who are some famous statisticians from the 20th or 21th century, who didn't have a formal training in statistics?

regarding generating synthetic data simulating the real data

Estimating the Distribution of the data

In Bayesian linear regression Advantages of predictive posterior compared to posterior of model coefficients

Are “Data are fixed” in Bayesian viewpoint and “Data are random” in frequentist viewpoint talking about the same thing mathematically?

Independence and conditional independence in probability

iid data (Bayesian) vs iid random variables (Frequentist)?