User ShanZhengYang

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58

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How to construct a regression model with two inter-dependent dependent variables?

Jul 3 '17 at 9:33 ShanZhengYang 593

1

vote

1

answer

712

views

How to perform model evaluation for Poisson GLM regression?

generalized-linear-model poisson-regression model-evaluation

Apr 4 '18 at 9:51 Baleba Steve 11

2

5

votes

1

answer

504

views

In what situations would one use Approximate Bayesian Computation instead of Bayesian inference?

bayesian inference likelihood approximate-bayesian-computation

Jun 2 '17 at 11:44 Tim♦ 90.2k

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0

answers

29

views

How to infer “groupings” of data points separated alone one dimension? [duplicate]

machine-learning clustering inference

May 30 '17 at 11:59 ShanZhengYang 593

1

vote

0

answers

237

views

Why is a fully marginalized likelihood so much more difficult to computer than a partially marginalized posterior?

bayesian markov-chain-montecarlo posterior computational-statistics

May 22 '17 at 17:06 ShanZhengYang 593

1

vote

0

answers

35

views

How to model whether discrete count data are statistically-enriched in certain regions for spatial data?

generalized-linear-model model spatial discrete-data hierarchical-bayesian

May 7 '17 at 17:52 ShanZhengYang 593

3

votes

1

answer

86

views

How does one quantify the difference between two distributions, especially if sample sizes differ?

distributions distance entropy kullback-leibler

Sep 14 '18 at 20:28 Vass 1,365

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23

votes

1

answer

14k

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When would one use Gibbs sampling instead of Metropolis-Hastings?

bayesian simulation markov-chain-montecarlo gibbs metropolis-hastings

Sep 13 '18 at 9:00 Ferdi 4,652

0

votes

0

answers

70

views

Given a pdf which is a mixture of Gaussians, how do I infer the position (mean), variance, and number of Gaussians?

machine-learning expectation-maximization gaussian-mixture-distribution unsupervised-learning dirichlet-process

Aug 8 '16 at 23:31 ShanZhengYang 593

1

0

votes

1

answer

358

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How do you infer the number of clusters in data using unsupervised learning? [duplicate]

machine-learning clustering unsupervised-learning

Aug 8 '16 at 5:03 Community♦ 1

1

vote

0

answers

47

views

When doing regression modeling on the absolute difference between pairs, how to define features?

regression feature-engineering predictor differences

Aug 7 '16 at 15:24 ShanZhengYang 593

0

votes

2

answers

627

views

When using a Gaussian Mixture Model GMM, is it possible at all to infer the number of clusters to use?

machine-learning inference computational-statistics gaussian-mixture-distribution unsupervised-learning

Aug 26 '16 at 1:06 devendraj 31

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votes

0

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30

views

Density estimation for points regularly spaced on a grid? Infer spacing between pdf peaks?

variance nonparametric density-function inference density-estimation

Aug 4 '16 at 6:44 ShanZhengYang 593

1

vote

0

answers

200

views

How to impute a highly sparse binary matrix?

matrix data-imputation sparse

Aug 3 '16 at 19:30 ShanZhengYang 593

1

vote

0

answers

143

views

Assessing feature importance without random forests

regression feature-selection random-forest predictor importance

Jul 23 '16 at 12:37 Richard Hardy 46k

0

votes

1

answer

492

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How do GBR trees differ from random forests regression in terms of predictive performance?

regression machine-learning random-forest inference

May 7 '16 at 22:12 The Wanderer 527

1

vote

0

answers

49

views

How does one infer the noise/error model given measurements?

machine-learning bayesian inference computational-statistics

May 7 '16 at 4:26 ShanZhengYang 593

2

6

votes

2

answers

3k

views

How exactly does one marginalize over parameters in an N-dimensional likelihood?

likelihood hyperparameter

Nov 26 '15 at 20:14 Xi'an 81.9k

1

vote

2

answers

1k

views

What does “PDF overlap” mean? “To see whether a probability density function overlaps”

density-function terminology likelihood

Nov 14 '15 at 23:33 Sean Easter 8,119

1

vote

0

answers

334

views

How to use a normal log-likelihood function to estimate the variance?

normal-distribution likelihood

Jun 19 '15 at 19:30 Michael Hardy 6,444

1

vote

2

answers

532

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What is the dimension of the Gaussian log-likelihood function?

normal-distribution likelihood

Jan 8 '17 at 1:38 gung - Reinstate Monica 127k

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21 Questions

How to construct a regression model with two inter-dependent dependent variables?

How to perform model evaluation for Poisson GLM regression?

In what situations would one use Approximate Bayesian Computation instead of Bayesian inference?

How to infer “groupings” of data points separated alone one dimension? [duplicate]

Why is a fully marginalized likelihood so much more difficult to computer than a partially marginalized posterior?

How to model whether discrete count data are statistically-enriched in certain regions for spatial data?

How does one quantify the difference between two distributions, especially if sample sizes differ?

When would one use Gibbs sampling instead of Metropolis-Hastings?

Given a pdf which is a mixture of Gaussians, how do I infer the position (mean), variance, and number of Gaussians?

How do you infer the number of clusters in data using unsupervised learning? [duplicate]

When doing regression modeling on the absolute difference between pairs, how to define features?

When using a Gaussian Mixture Model GMM, is it possible at all to infer the number of clusters to use?

Density estimation for points regularly spaced on a grid? Infer spacing between pdf peaks?

How to impute a highly sparse binary matrix?

Assessing feature importance without random forests

How do GBR trees differ from random forests regression in terms of predictive performance?

How does one infer the noise/error model given measurements?

How exactly does one marginalize over parameters in an N-dimensional likelihood?

What does “PDF overlap” mean? “To see whether a probability density function overlaps”

How to use a normal log-likelihood function to estimate the variance?

What is the dimension of the Gaussian log-likelihood function?