User Haotian Chen

6 votes

Is it true that the word prior should be used only with latent random variables?

answered Aug 24, 2020 at 9:33

3 votes

Accepted

Are Neural Networks Mixture Models?

answered Apr 30, 2020 at 16:43

3 votes

Gibbs sampling how to sample from the conditional probability? Bayesian model

answered Jun 19, 2017 at 19:13

3 votes

Accepted

Mixed Effects Model (3 level model?)

answered Apr 14, 2020 at 20:14

3 votes

Accepted

What can we say about P(X<Y and X<Z)?

answered Apr 22, 2020 at 21:59

3 votes

I want to compare the effect of alcohol ban. I have some variables like income before and after ban. How can i compare them statistically

answered Apr 24, 2020 at 6:20

2 votes

Comparing Coefficients of Two Time Series Models

answered Apr 21, 2020 at 14:40

2 votes

Shouldn't log likelihood always be normalized by data size in bayesian estimation?

answered Apr 22, 2020 at 15:50

2 votes

Does probability threshold offset biases due to imbalanced classes in Logistic Regression?

answered Apr 19, 2020 at 5:53

2 votes

Accepted

How to calculate $P(A, B | C)$ from Bayesian Network?

answered Apr 25, 2020 at 7:48

2 votes

In Bayesian statistics, data is considered nonrandom but can have a probability or be conditioned on. How?

answered Jun 23, 2021 at 18:29

2 votes

When (and why) should you take the log of a distribution (of numbers)?

answered Aug 19, 2020 at 13:30

1 vote

If I engineer a new feature such that feature C = feature A/feature B, must I drop features A and B from a Gaussian Naive Bayes model?

answered Aug 6, 2022 at 5:25

1 vote

How does expectation maximization relate to weighted least squares?

answered Dec 2, 2023 at 10:50

1 vote

Is Coordinate Ascent algorithm related to Gibbs Sampling in some way?

answered Jun 23, 2021 at 14:01

1 vote

Accepted

How to decouple weight decay strength and model size?

answered Apr 26, 2020 at 6:32

1 vote

Maximum likelihood estimator that is not a function of a sufficient statistic

answered Jul 22, 2019 at 8:35

1 vote

What is the difference between log-likelihood and expected pointwise log predictive density

answered Apr 24, 2020 at 12:54

1 vote

How can I combine fully correlated effect sizes and their standard errors?

answered Apr 19, 2020 at 16:09

1 vote

Why does order of entry of predictor variables matter in Regression?

answered Apr 15, 2020 at 8:30

1 vote

Mixture models and K-means clustering similarities: What is the covariance matrix?

answered Apr 20, 2020 at 17:39

1 vote

Accepted

Calculating Value State matrix for a finite MDP without limit condition

answered Apr 20, 2020 at 19:09

1 vote

Population vs Sample Space

answered Apr 23, 2020 at 5:51

0 votes

How to implement a survival function PDF?

answered Apr 24, 2020 at 8:03

0 votes

How to compare models with the same parameters but different numbers of points

answered Jun 22, 2017 at 18:43

0 votes

using bootstrap to calculate t-test p-value and CI in r

answered Apr 20, 2020 at 5:38

0 votes

Estimating conditional probabilities on a large corpus of parsed documents

answered Apr 20, 2020 at 16:42

0 votes

Accepted

Don't understand one particular normal distribution notation from opaper Stochastic Variational Deep Kernel Learning, help needed

answered Apr 19, 2020 at 9:44

0 votes

Rolling autocorrelation vs whole series autocorrelation

answered Apr 19, 2020 at 11:06

0 votes

Calculating standard deviation without original measurements

answered Aug 19, 2020 at 12:46

Stack Exchange Network

38 Answers

Is it true that the word prior should be used only with latent random variables?

Are Neural Networks Mixture Models?

Gibbs sampling how to sample from the conditional probability? Bayesian model

Mixed Effects Model (3 level model?)

What can we say about P(X<Y and X<Z)?

I want to compare the effect of alcohol ban. I have some variables like income before and after ban. How can i compare them statistically

Comparing Coefficients of Two Time Series Models

Shouldn't log likelihood always be normalized by data size in bayesian estimation?

Does probability threshold offset biases due to imbalanced classes in Logistic Regression?

How to calculate $P(A, B | C)$ from Bayesian Network?

In Bayesian statistics, data is considered nonrandom but can have a probability or be conditioned on. How?

When (and why) should you take the log of a distribution (of numbers)?

If I engineer a new feature such that feature C = feature A/feature B, must I drop features A and B from a Gaussian Naive Bayes model?

How does expectation maximization relate to weighted least squares?

Is Coordinate Ascent algorithm related to Gibbs Sampling in some way?

How to decouple weight decay strength and model size?

Maximum likelihood estimator that is not a function of a sufficient statistic

What is the difference between log-likelihood and expected pointwise log predictive density

How can I combine fully correlated effect sizes and their standard errors?

Why does order of entry of predictor variables matter in Regression?

Mixture models and K-means clustering similarities: What is the covariance matrix?

Calculating Value State matrix for a finite MDP without limit condition

Population vs Sample Space

How to implement a survival function PDF?

How to compare models with the same parameters but different numbers of points

using bootstrap to calculate t-test p-value and CI in r

Estimating conditional probabilities on a large corpus of parsed documents

Don't understand one particular normal distribution notation from opaper Stochastic Variational Deep Kernel Learning, help needed

Rolling autocorrelation vs whole series autocorrelation

Calculating standard deviation without original measurements