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Cross Validated : Recent Questions and Answers (Page 24)

Find answers to your questions about Cross Validated or help others by answering their Cross Validated questions.

The distribution of the product of a multivariate normal and a lognormal distribution

If $$X=left(begin{array}{c}X_{1}\X_{2}end{array}right)sim Nleft[left(begin{array}{c}mu_{X_{1}}\mu_{X_{2}}end{array}right),left(begin{array}{cc}sigma_{X_{1}}\sigma_{X_{1}X_{2}} & sigma_{X_{2}}end{array}right)right]$$ and $$Ysim logNleft(mu_{Y},sigma_{Y}right)$$ then, which is the distribution of $YX=left(begin{array}{c}YX_{1}\YX_{2}end{array}right)$? is it lognormal?...

Asked on 12/05/2021 by AAE

1 answer

How to understand mapping function of kernel?

For a kernel function, we have two conditions one is that it should be symmetric which is easy to understand intuitively because dot products are symmetric as well and our...

Asked on 12/05/2021

1 answer

Attention Mechanisms and Alignment Models in Machine Translation

From the paper that introduced attention mechanisms (Bahdanau et al 2014: Neural Machine Translation by Jointly Learning to Align and Translate), it seems that the translating part...

Asked on 12/05/2021

1 answer

Difference between Repeated measures ANOVA, ANCOVA and Linear mixed effects model

What is the best way to analyze these data: Subjects are divided in two "Group" (Treatment A and B). "Weight" is recorded before and 3 months after treatment. Outcome variable:...

Asked on 12/05/2021

1 answer

Time Series Multivariate Forecasting

I am building a time series forecasting model in which I am considering the macroeconomic indicators as predictors.I wanted to understand 3 thingsHow do I generally go about feature selection...

Asked on 12/05/2021

1 answer

reporting results of a multivariate logistic regression using the glm function in R

I would like to use the glm() function in R to run a multivariate logistic regression. I have also run bi-variate statistics for each variable but want a test that...

Asked on 12/05/2021 by B.Kenobi

1 answer

Checking the constant variance assumption for residuals vs fitted plots: What about for the same fitted values?

For a residuals vs fitted plot, we use the fitted values $hat{Y} = beta_0 + beta_1 + cdots + beta_p x_p$ on the horizontal axis and the residuals on...

Asked on 12/05/2021

1 answer

What model is a suitable model for zero-constrained variables?

After reading the answer in How do I normalize a bimodal distribution?, I began to think about the concept more broadly. With OLS on zero-constrained variables, the residuals signal...

Asked on 12/05/2021

0 answer

Why the regression coefficient for normalized continuous variable is unexpected when there is dummy variable in the model?

I am doing a numerical experiment about linear regression modeling with presence of both continuous and categorical variables. As done in classical regression modeling practice, the categorical variable is firstly...

Asked on 12/05/2021 by emberbillow

1 answer

Is boosting and bagging only relevant in the context of decision trees?

In the documents I've seen on boosting and bagging, it seems that they're always talked about in the context of decision trees. What are some other methods in which the...

Asked on 12/05/2021

2 answer

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