| bio | website | etienne.webhop.org |
|---|---|---|
| location | Montreal, Canada | |
| age | 28 | |
| visits | member for | 2 years |
| seen | 30 mins ago | |
| stats | profile views | 63 |
I am currently a Ph.D. candidate in the labs of Dr. Graham Bell and Dr. Gregor Fussmann, Biology Department, McGill University. I am studying the evolutionary and ecological response of phytoplankton to rising atmospheric CO2. I have experience working with R, teaching R and using R to teach statistics. Co founder of the Montreal R User group. I can be found on LinkedIn.
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May 9 |
awarded | Autobiographer |
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May 8 |
comment |
Better method to estimate gender gap: difference between medians or median gap by occupation? I love complicated alternatives! You can always account for more variables (e.g.: age), construct and fit a complete model (including occupation, gender, age, education etc.) and calculate the effect size or marginal means of gender. Even fancier, do a random forest regression to calculate the marginal effect of gender. :-) or just look at the difference in means. |
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May 8 |
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What is the distribution of the error around logistic growth data? I'll look into that. Thank you. |
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May 7 |
accepted | What is an appropriate method for providing bounds when performing maximum likelihood parameter estimation? |
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May 7 |
comment |
What is the distribution of the error around logistic growth data? Thanks a bunch! I agree that a separation of process and measure is interesting. I would however suggest that most measurement methods have this strong upper bound, but it might be important to isolate this. If I where to use the scaled beta, despite your warning about MLE fitting confidence, any suggestions as to how to relate the shape parameters to this system to model variables to allow for MLE? |
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May 7 |
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What is the distribution of the error around logistic growth data? Please let me know if you decide to go this route. |
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May 7 |
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What is the distribution of the error around logistic growth data? A paper from 1966 did look into this a little, however I have not seen one more recent. I maybe things have changed since? jstor.org/discover/10.2307/… |
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May 7 |
revised |
Effect of %in% in a model formula? deleted 330 characters in body |
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May 7 |
accepted | In R, given an output from optim with a hessian matrix, how to calculate parameter confidence intervals using the hessian matrix? |
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May 7 |
asked | Effect of %in% in a model formula? |
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May 5 |
answered | When is multiple comparison correction necessary? |
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May 5 |
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When is multiple comparison correction necessary? Always doing corrections though, inflates your type II error rate. If you have all significant results before correction, you may lose them all after correction, not accounting for the low odds of getting all significant results. This may depend on the cost of a type I or type II error in your context. |
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May 5 |
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What is the distribution of the error around logistic growth data? In this case, you could have Nt values below zero and above the hard upper boundary. Furthermore, noise is expected in all parameters (not necessarily in the product of a parameter with time), hence the noise on the response variable. I would still be interested in the maximum likelihood interpretation of you approach. |
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May 5 |
revised |
What is the distribution of the error around logistic growth data? added 173 characters in body |
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Apr 30 |
accepted | How to set limits using constrOptim in R? |
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Apr 30 |
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Cluster analysis of boolean vectors in R stats.stackexchange.com/questions/6252/… |
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Apr 27 |
revised |
Clustering quality measure added 123 characters in body |
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Apr 27 |
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Clustering quality measure You link seems to be broken. |
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Apr 27 |
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Clustering quality measure I think both purpose have their faire use in different settings. There are many context were you actually do to only look at the data at hand (eg. outlier definition). Also, before being able to get to different data generating processes, you need exploration which is best done with your second definition... |
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Apr 27 |
answered | Clustering quality measure |