Question

Correct implementation of Gaussian mixture model in Tensorflow Probability?

score 229 · Answer 1 · 2026-02-25 09:45:49

229

Views

Correct implementation of Gaussian mixture model in Tensorflow Probability?

Published on 25 Feb 2026 - 9:45

score 61 · Answer 2 · 2026-04-04 10:21:56

61

Views

Expressing "common knowledge" in terms of probability

Published on 04 Apr 2026 - 10:21

score 130 · Answer 3 · 2022-07-02 23:43:14

130

Views

Inference and Simple Gaussian Mixture

Published on 02 Jul 2022 - 23:43

score 65 · Answer 4 · 2026-04-04 00:14:05

65

Views

Bayes Estimator/Bayes Rule for multiple loss functions?

Published on 04 Apr 2026 - 0:14

score 72 · Answer 5 · 2026-04-04 10:24:25

72

Views

Does Bayesian Theorem mean that testing of asymptopmatic people has more probability of False positives?

Published on 04 Apr 2026 - 10:24

score 757 · Answer 6 · 2022-07-11 14:36:56

757

Views

What is the probability that the queen of hearts is drawn exactly twice assuming all 3 cards drawn were queens?

Published on 11 Jul 2022 - 14:36

score 89 · Answer 7 · 2026-04-01 16:53:23

89

Views

Integrating multivatiate gaussian for likelihood

Published on 01 Apr 2026 - 16:53

score 58 · Answer 8 · 2022-07-22 22:17:39

58

Views

Is the likelihood function $L(\theta|X)$ equal to or proportional to $p(X|\theta)$?

Published on 22 Jul 2022 - 22:17

score 223 · Answer 9 · 2022-07-29 19:22:10

223

Views

Calculating posterior with Improper uniform prior

Published on 29 Jul 2022 - 19:22

score 87 · Answer 10 · 2026-04-04 10:20:32

87

Views

Bayesian Inference Multiplication

Published on 04 Apr 2026 - 10:20

score 40 · Answer 11 · 2022-08-04 02:58:25

40

Views

Is $\int_{0}^{1} {\frac {q} {1+q} f(q) dq}$ = $\frac {\int_0^1 {q f(q) dq}} {1 + \int_0^1 {q f(q) dq}}$ for $f(q)$ a probability density function?

Published on 04 Aug 2022 - 2:58

score 62 · Answer 12 · 2026-04-02 16:40:12

62

Views

Bayesian hypothesis testing: How should I define a prior distribution for a hypothesis defined as an inequality?

Published on 02 Apr 2026 - 16:40

score 105 · Answer 13 · 2022-08-29 03:07:55

105

Views

What does it mean for something to be closed under sampling?

Published on 29 Aug 2022 - 3:07

score 45 · Answer 14 · 2022-09-04 15:49:59

45

Views

What were Ronald Fisher's objections to Beyesian statistics/reasoning?

Published on 04 Sep 2022 - 15:49

score 110 · Answer 15 · 2026-02-26 13:55:31

110

Views

Confidence/Credible intervals implying that estimated mean from sample is equal to population mean in expectation?

Published on 26 Feb 2026 - 13:55

List Question

Correct implementation of Gaussian mixture model in Tensorflow Probability?

Expressing "common knowledge" in terms of probability

Inference and Simple Gaussian Mixture

Bayes Estimator/Bayes Rule for multiple loss functions?

Does Bayesian Theorem mean that testing of asymptopmatic people has more probability of False positives?

What is the probability that the queen of hearts is drawn exactly twice assuming all 3 cards drawn were queens?

Integrating multivatiate gaussian for likelihood

Is the likelihood function $L(\theta|X)$ equal to or proportional to $p(X|\theta)$?

Calculating posterior with Improper uniform prior

Bayesian Inference Multiplication

Is $\int_{0}^{1} {\frac {q} {1+q} f(q) dq}$ = $\frac {\int_0^1 {q f(q) dq}} {1 + \int_0^1 {q f(q) dq}}$ for $f(q)$ a probability density function?

Bayesian hypothesis testing: How should I define a prior distribution for a hypothesis defined as an inequality?

What does it mean for something to be closed under sampling?

What were Ronald Fisher's objections to Beyesian statistics/reasoning?

Confidence/Credible intervals implying that estimated mean from sample is equal to population mean in expectation?

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