What is the difference between RMLE and LS-VCE in variance components estimation?

More Lei Wang's questions See All

Why does the MFDFA algorithm need to calculate the profile of the time series?

As described in the Multifractal detrended fluctuation analysis (MFDFA) algorithm, it at first calculates the profile of the time series, and then other steps are operated on the profile....

05 August 2024 9,366 2 View

Differences between deep seated landslides and slope destabilization?

Hi, Could someone explain the primary differences between deep-seated landslides and slope destabilization? In particular, definition and characteristics, mechanisms and triggering factors,...

02 August 2024 4,212 2 View

A question about arbuscular mycorrhizal???

How long it takes for arbuscular mycorrhiza to establish and produce benefits under experimental conditions？

25 July 2024 5,208 2 View

What is the solvent system required to run tlc for calixarenes?

If you don't understand my question let me know

21 July 2024 563 1 View

Is it possible to run the AIMD within a system using virtual crystal approximation (VCA)?

I want to study the thermal properties of a mixed system which is constructed by virtual crystal approximation in VASP. When I try to run the ab initio Molecular Dynamics of this system in VASP, I...

19 July 2024 6,569 3 View

If I want to invent my own hypothesis testing method, where should I get started ?

15 July 2024 5,376 5 View

Recommendations for Rapid Publication Journals in Traffic and Transportation?

I am currently working on a research paper focused on the control of Connected and Autonomous Vehicles (CAVs) utilizing multi-agent reinforcement learning methods. At this stage, I am seeking a...

14 July 2024 2,620 2 View

I've earned 1 best paper award and 4 best oral presentation awards. What should I do next?

I've earned 1 best paper award and 4 best oral presentation awards. What should I do next to elevate my academic capabilities to the next level ?

14 July 2024 6,071 5 View

How to start writing an anti-virus software ?

I read several information security books. How do I start writing anti-virus softwares ？

13 July 2024 8,180 1 View

Are my cells contaminated with mycoplasma?

I suspect my cells are contaminated with mycoplasma. I fixed the cells with 4% PFA and stained them with DAPI. Below is the image I obtained. I don't observe the typical small, rounded DAPI foci...

11 July 2024 7,786 3 View

Why maximum likelihood approach over sample variance?

Maximum likelihood estimation is used to estimate population mean and variance. However, we can do it with sample variance too and sample variance is unbiased also. Then why we prefer maximum...

25 June 2024 3,921 3 View

What are the estimation methods and their properties, and the edge they have over others, especially the maximum likelihood estimator?

what are the estimation methods and their properties, and the edge they have over others, especially the maximum likelihood estimator? what is multinomial logistic regression and its properties...

03 May 2024 1,261 1 View

Maximum Likelihood Estimation of Parameters issue ?

I have data set consist of x and y variable where I wan to perform maximum likelihood estimation (MLE) to fit a mean function and astandard deviation function o the data. I am estimating the the...

21 April 2024 1,734 7 View

AIC under Bayesian framework?

Why we can not apply AIC under Bayesian framework. The AIC is based on the deviance and this latter is based on the likelihood. Now, if the likelihood function is available in closed-form and can...

09 March 2024 510 3 View

Is the accuracy of EM and ML algorithms are different?

For estimating parameters of mixture densities, EM (Expected maximization) algorithm is used frequently. EM algorithm helps to get ride of dealing with complex likelihood function. What will be...

21 February 2024 2,671 1 View

Limited information maximum likelihood procedure for Simultaneous-equations model in STATA?

Dear researchers, I am struggling to learn how estimate simultaneous-equations model using limited information maximum likelihood (LiML) procedure in STATA. I have learned about LiML in ivregress...

24 January 2024 4,125 0 View

Application of The Generalized Method of Moments?

The professor gave us an exercise but for me it's not totally clear. I have a distribution function which depend on a parameter X that I need to estimate. The function describes the distribution...

03 January 2024 603 0 View

Can we compute Akaike Information Criteria for Random Forest?

I am aware that random forest is not fitted using maximum likelihood, and there is no obvious likelihood function for it. Is there any way to use AIC for models of this type? Any insights will be...

21 December 2023 6,068 4 View

I have a question about concatenating sequence runs in MEGA X. Can you assist me with this?

I concatenated four sequences. Can I find the best model for the concatenated sequences and then run the maximum likelihood tree with the best model in MEGA X?

14 December 2023 7,498 0 View

How to assess the Impact of a policy on productive efficiency?

Dear colleagues, I am studying a policy of conditional transfers among federated entities. The policy has already been evaluated and has a positive effect on the outcome indicator of...

26 November 2023 2,543 0 View

Ranadip Chowdhury

The LS-VCE method is based on the least-squares principle and works with

a user-defined weight matrix. As such the method only requires information on the first and second order moments. The REML method require complete information on the probability density function of the observables.

Leyang Wang

one paper about VCE.

WANG Leyang, Xu Guangyu. Variance component estimation for partial errors-in-variables models[J]. Studia Geophysica et Geodaetica, 2016, 60(1):35-55.