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31 votes

7 answers

7k views

What are the branches of statistics?

asked Oct 6, 2019 at 22:13

17 votes

2 answers

14k views

Why is the limit of a Chi squared distribution a normal distribution?

asked Oct 3, 2019 at 4:53

13 votes

3 answers

1k views

When do posteriors converge to a point mass?

asked Oct 6, 2020 at 23:46

9 votes

2 answers

8k views

In linear regression, why should we include quadratic terms when we are only interested in interaction terms?

asked Dec 1, 2018 at 23:25

9 votes

1 answer

563 views

Alternatives to the null hypothesis significance testing framework

asked Sep 21, 2020 at 3:35

7 votes

2 answers

2k views

Overdispersion in fitted generalized linear model with insignificant regression coefficients

asked Apr 11, 2020 at 23:37

6 votes

2 answers

382 views

Unbiased estimator of $X^k$ given independent unbiased estimators of $X$

asked Dec 23, 2020 at 23:59

6 votes

1 answer

578 views

When not to use the elastic net penalty in regression?

asked Jan 29, 2022 at 22:06

5 votes

1 answer

67 views

Estimating the $\chi^2$-divergence with Monte Carlo: which distribution to sample from?

asked Aug 1, 2021 at 0:51

5 votes

1 answer

127 views

Behaviour of the marginal in the limit for an infinite sequence of hierarchical priors

asked Oct 8, 2020 at 3:30

5 votes

1 answer

261 views

Motivations for experiment design in statistical learning?

asked Aug 14, 2019 at 15:23

4 votes

0 answers

817 views

Deriving the bias of the self-normalizing importance sampling estimator

asked Mar 29, 2020 at 20:46

3 votes

1 answer

64 views

What relationships do spatial statistics share with time series analysis?

asked Jan 30, 2020 at 9:42

3 votes

1 answer

586 views

Why is the deviance defined with a factor 2 (or likelihood ratio squared)?

asked Dec 1, 2018 at 19:49

3 votes

1 answer

284 views

sequential Monte Carlo sampler, why the extended space and backward kernel?

asked May 9, 2019 at 6:12

3 votes

1 answer

1k views

Metropolis-Hastings - interpreting the transition kernel: alpha*proposal

asked May 19, 2019 at 1:02

3 votes

1 answer

524 views

Definition of the dirichlet process: what is the sequence of random variables

asked Aug 7, 2019 at 16:59

3 votes

1 answer

218 views

Formal arguments for why an asymmetric f-divergence might be favourable to a symmetric one in analyzing importance sampling

asked Jun 4, 2021 at 0:23

3 votes

2 answers

468 views

Models for describing cluster change over time

asked Feb 25, 2022 at 6:17

3 votes

1 answer

64 views

On distributions over orthonormal sets: existing families, construction, and simulation

asked Jan 23, 2022 at 6:27

3 votes

1 answer

51 views

Efficient storage of functional data

asked May 18, 2022 at 5:41

2 votes

1 answer

54 views

Two sample hypothesis tests for functional (curve) data

asked Jan 16, 2022 at 20:57

2 votes

1 answer

45 views

When is it favorable to not visualize univariate data using empirical CDFs?

asked Apr 13, 2022 at 5:13

2 votes

2 answers

618 views

Are recurrent neural networks just vanilla neural networks with sequential data?

asked Apr 17, 2021 at 6:34

2 votes

0 answers

45 views

What is a good reference for Bayesian time series and/(or separately) spatial statistics at a graduate level?

asked Jan 30, 2020 at 9:28

2 votes

0 answers

185 views

Bayesian expectation maximization

asked Jun 11, 2020 at 0:50

1 vote

0 answers

36 views

Desirable properties of datasets and models for benchmarking Bayesian posterior inference algorithms

asked Mar 29, 2020 at 23:13

1 vote

0 answers

51 views

High-dimensional integrals with computationally tractable closed-form solutions

asked Dec 27, 2020 at 19:29

1 vote

0 answers

46 views

Principles in experiment design for functional data analysis

asked Jan 15, 2022 at 20:10

1 vote

0 answers

38 views

Determining the number of trees in a random forest model a priori fitting

asked Mar 22 at 22:30

Stack Exchange Network

36 Questions

What are the branches of statistics?

Why is the limit of a Chi squared distribution a normal distribution?

When do posteriors converge to a point mass?

In linear regression, why should we include quadratic terms when we are only interested in interaction terms?

Alternatives to the null hypothesis significance testing framework

Overdispersion in fitted generalized linear model with insignificant regression coefficients

Unbiased estimator of $X^k$ given independent unbiased estimators of $X$

When not to use the elastic net penalty in regression?

Estimating the $\chi^2$-divergence with Monte Carlo: which distribution to sample from?

Behaviour of the marginal in the limit for an infinite sequence of hierarchical priors

Motivations for experiment design in statistical learning?

Deriving the bias of the self-normalizing importance sampling estimator

What relationships do spatial statistics share with time series analysis?

Why is the deviance defined with a factor 2 (or likelihood ratio squared)?

sequential Monte Carlo sampler, why the extended space and backward kernel?

Metropolis-Hastings - interpreting the transition kernel: alpha*proposal

Definition of the dirichlet process: what is the sequence of random variables

Formal arguments for why an asymmetric f-divergence might be favourable to a symmetric one in analyzing importance sampling

Models for describing cluster change over time

On distributions over orthonormal sets: existing families, construction, and simulation

Efficient storage of functional data

Two sample hypothesis tests for functional (curve) data

When is it favorable to not visualize univariate data using empirical CDFs?

Are recurrent neural networks just vanilla neural networks with sequential data?

What is a good reference for Bayesian time series and/(or separately) spatial statistics at a graduate level?

Bayesian expectation maximization

Desirable properties of datasets and models for benchmarking Bayesian posterior inference algorithms

High-dimensional integrals with computationally tractable closed-form solutions

Principles in experiment design for functional data analysis

Determining the number of trees in a random forest model a priori fitting