# All Questions

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### Why are additive models useful

I have been studying about additive models. But I am not sure I understand how they are useful? Any suggestions will be much appreciated
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### Does a random variable of t-square converge almost surely to another random variable?

Does a random variable of t-square converge almost surely to another random variable? Here is the random variable Tn: ...
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### How do you prove that the error-correcting mechanism will show that there is no relationship between 2 independent random walk processes?

In the context of spurious regression, will someone help me prove how cointegration and the error correcting mechanism proves that there is no relation in 2 independent random walk processes, as ...
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### Do not understanding the result of a R code

I gave run the following codes in R console ...
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### Cronbach's Alpha on true and false

I have a 10 item knowledge scale (true/false). Can I do Cronbach alpha test?
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### Combinatorics problem applied to GAM Logistic regression. R code

I'm doing biomedical research and I need to set a GAM Logistic Model which get the maximum AUC score as possible. I have 4 disease markers; $Y_1, Y_2, Y_3, Y_4$ with different data in each one, and ...
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### Discrete Methods - good texts/references on the subject

As an engineering type I have extensive experience in continuous time methods. Large chunks of my degree programs were about how to handle continuous phenomena. I am, sadly, not as strong as I would ...
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### May I put few questions on MaxEnt?

I was having few questions on MaxEnt. a) Is MaxEnt and Maximum Entropy Markov Model same or different? b) Does MaxEnt has any hidden layer? c) How may we estimate the model in MaxEnt? If any of ...
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### Issues with estimating the sparse inverse covariance matrix with Glasso

I am trying to estimate the sparse inverse covariance matrix of my gaussian graphical model. I installed the glasso package in R and tried out some examples. After that I ran the glasso software on ...
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### Real world events presentation for neural network processing

I'm new to neural networks, so it's highly possible that I just unable to formulate question in right way to find similar already posted, so I'm terribly sorry if this is a duplicate. Consider the ...
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### Please show me that with which formula, I can calculate pooled variance for unequal population variance?

I know it not legal and valid for faq but I cannot put a photo here because of reputation and not logged in here. Sorry. This is last question. After this, I never put link here. Sorry. My question ...
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### How can I compute covariances between parameters in WinBUGS?

I am wondering if there is an easy way to compute the covariances between parameters in WinBUGS/OpenBUGS. It is easy to obtain the variances, but for subsequent analysis, I need the covariances. ...
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### Logistic regression vs MLE of conditional probability

I am trying to build a classification model from a large dataset (50M instances) with a categorical independent variable (pred) and a binary dependent variable ...
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### Properties of bivariate standard normal and implied conditional probability in the Roy model

Sorry for the long title, but my problem is quite specific and hard to explain in one title. I am currently learning about the Roy Model (treatment effect analysis). There is one derivation step at ...
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### What is the sample standard error formula?

What is the sample standard error formula? I know only $s$ but I guess this is not it. I am confused about its formula. Please help me. Thank you.
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### How to find the level curves of a multivariate normal?

I'm trying to get some intuition for multivariate analysis. Thought it would be good to visualise, say, the .95 probability contour for a multivariate normal. I'm looking for suggestions on an ...
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### Lossless compression of hyperspectral Images

I need to implement three 'lossless compression of hyperspectral' algorithms. I choose the following two methods: http://en.wikipedia.org/wiki/FELICS and ...
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### Bootstrap of pairs and of bootstrap of residuals - case with possible outlier

I just want to mention that I am a beginner in bootstrapping but I would like to understand as much as possible. Recently, I tried to get through the idea of bootstrapping regression coefficients. I ...
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### Building temporal correlation model by a dataset and calibrating the model with other dataset

I have a temperature time series data (dataset1) for a week and I want to build the temporal correlation model by using time-series analysis and performing the prediction for oncoming values. The data ...
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### R nnet package Softmax/Entropy option

Can some one tell me when and why to use softmax=true option and entropy=T option? The model i am trying to build has binary ...
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### How to implement mixture distributions for data in JAGs

In jags, how can I model the data being sampled from a mixture distribution? For example, I want an outcome to be either 0 with probability p or normal with probability (1 - p). p and the normal ...
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### Reduce Sample Size (Categorise??) [duplicate]

I have been looking for an answer to my question but havn't been able to find any literature documentation or help in regards. I have a large dataset which I need to further analyse. Because of this I ...
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### regression and correlation analysis [closed]

I. The main objective of regression analysis is to predict the dependent variable by the help of one or more independent variables. II. The main objective of correlation analysis is to determine ...
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### Variance of superset from variance of subsets [duplicate]

Let's say I want to estimate $var(A)$ of a list of numbers $a_i \in A, i\in [0,N]$. However, I only have the variance of the non-overlapping, and complete ($B \cup C = A)$ subsets $B$ and $C$. ...
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### Analyzing multifactorial frequency data

I have a dataset that is Y/N acceptance of a 2x2x2 set of devices, in three different groups. I'm unused to multifactorial frequency data and am not sure how best to go about analysing it (other that ...
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### Parameter MLE for dlmModReg: why not include both V and W?

I'm fitting a univariate regression model using the dlm R package, and was able to get sensible results (compared to least squares, PCA) only after I dropped the process noise covariance term $W$ from ...

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