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1d
reviewed Approve suggested edit on Linear programming problem
2d
comment Posterior Density in R
Your prior density is for what parameter(s)? Perhaps the mean where you know the variance?
Apr
7
answered How to get P-Value when t value is less than 1?
Mar
30
comment Estimating the number of streets in $CITY?
Look at the index of a city streetmap
Mar
30
comment Can unimodal prior and unimodal sampling distributions lead to a multimodal posterior distribution?
Heavy tails in the distribution make non-unimodality more likely
Mar
30
comment Can unimodal prior and unimodal sampling distributions lead to a multimodal posterior distribution?
@Tim: "Can a unimodal multivariate distribution has some multimodal marginal distribution?" is a different question and should probably be asked separately.
Mar
30
comment Can unimodal prior and unimodal sampling distributions lead to a multimodal posterior distribution?
$\frac{x\pm\sqrt{x^2-4}}{2}$ has a $\pm$ and so gives two maxima
Mar
30
revised Can unimodal prior and unimodal sampling distributions lead to a multimodal posterior distribution?
added 10 characters in body
Mar
30
comment Can unimodal prior and unimodal sampling distributions lead to a multimodal posterior distribution?
@Tim: do you think my example meets the conditions in your comment?
Mar
30
answered Can unimodal prior and unimodal sampling distributions lead to a multimodal posterior distribution?
Mar
29
answered Who said, “let the data speak for themselves”?
Mar
27
comment Basic R script/package with lots of automated calculations
@Manuel: your $\alpha_n$ and $\beta_n$ are $n$-th moments, about zero and centred about the mean respectively
Mar
25
revised How to calculate max/min scales on a scatter plot
picture
Mar
23
revised Comparing different conditions on a binomial distribution
some simple R code
Mar
22
answered Comparing different conditions on a binomial distribution
Mar
18
comment Sampling from an arbitrary distribution with unknown CDF
What is the expression for the probability density?
Mar
15
comment Error of data fitting by gamma.fit() in Python
What would happen if you tried param = gamma.fit(float(samp)) ?
Mar
15
comment How to compute Prior Variance
If these are votes in an election, than "Swing" usually means change since the previous election rather than actual votes.
Mar
15
comment Linear regression: Evaluate probability of $Y>y| X=x$
I doubt linear regression would work then without some adjustments to justify a linear model and perhaps deal with any autocorrelation.
Mar
15
comment Linear regression: Evaluate probability of $Y>y| X=x$
Yes: if the model is $y_i= x_i \beta+ \varepsilon_i$ with the $\varepsilon_i$ normally distributed with mean zero and a constant variance, then what you have done looks reaonable, though of course the numbers are overprecise. plot(Sepal.Length~Petal.Length, data=iris); abline(h=5) gives you a view of the information you actually have.