Reply With QuoteJake
1) are you a linux user?
2) which book would you recommend to a novice on mixed modelling?
3) what is you favorate film in the last year?
Jake has kindly offered to be interviewed for the greater good.
Jake has been around for over a year now, he is a PhD candidate in social psychology.
Jake has an uncanny ability with mixed models so I personally value his contributions to this forum. He also wears a cookie monster suit that is probably disguising his true underlying raptor morphology.
This aside, ask some questions and get to know Jake!
The earth is round: P<0.05
Jake
1) are you a linux user?
2) which book would you recommend to a novice on mixed modelling?
3) what is you favorate film in the last year?
The earth is round: P<0.05
I'm afraid not. I tried it out for a little while in high school because it was supposed to be the cool thing to do (this might also give you a clue about the kind of people I was hanging out with in high school), but ended up deleting it after a while because I never really saw any benefits during that time. Maybe now that I am (a little) older and (a little) wiser I will try it again sometime.Originally Posted by bugman
The two books that I got the most out of when I was first learning it all were Pinheiro & Bates, 2000, Mixed-effects models in S and S-plus, and Gelman & Hill, 2006, Data analysis using regression and multilevel/hierarchical models. That plus attempting to read a lot of papers most of which were way over my head.
That's a tough one. I don't think there have been any movies released in the past year that have really blown me away. But I guess if I had to pick a favorite I'd either go with Chronicle or A Dangerous Method.
In God we trust. All others must bring data.
~W. Edwards Deming
When you were a 15 year old cookie muncher did you know I want to be a statistician? Would you you call yourself a statistician yet? Why?
"If you torture the data long enough it will eventually confess."
-Ronald Harry Coase -
Certainly not! Around this time I had a vague but nevertheless pretty determined idea that I was going to be some kind of I.T. person. I was just beginning to learn that I was pretty good at programming -- better than most of my peers anyway -- and I was completely fascinated by how the Internet worked and by computer networks in general. It wasn't until early in college that I finally abandoned this vision of my future self.
I wish that I could! No, I would say that I am a competent data analyst, but I lack the mathematical expertise necessary for one to be considered a good statistician.
In God we trust. All others must bring data.
~W. Edwards Deming
Are you a health nut (aside from the cookies)?
Favorite equation and why?
"If you torture the data long enough it will eventually confess."
-Ronald Harry Coase -
Top 5 songs and top5 books of all time?
wondering if there was any person (prof usually but could be, i dunno... TA, colleague, etc.) that had a particular influence on you which made you start focusing on stats, methods and data analysis more? i dunno, someone who once told you that you're talented at it or a particular course that blew your mind and you just had to say "woha! this is *so* me!"
Dason on the Cauchy distribution:
"YOU BETTER LOOK OUT BECAUSE THIS IS SOMETHING THAT IS GOING TO GET YOU"
What statistical methods would you like to know more?
What is your favorite probability distribution?
I already know the answer to this but I think your response should be on the record:
Are there any cookies you don't like? If so explain why they are horrible (and go into as much detail as possible)
"His programming is malfunctioning. It begins! Get your weapons, he's going to become a killbot!!!" - bryangoodrich
Jake! What are your feelings about the good Reverend?
I've been impressed with your knowledge of multilevel modeling. You're definitely a resource to turn to for help in that area!
With that said, what area of statistics would you say you're most weak at? What would you like to learn more about (if not merely methodological, so as not to repeat Dason's Q here)?
No, no really. For one thing my exercising tends to come and go in phases that last a few months at a time. I guess when I am in a phase where I am running a lot I am pretty healthy overall, but as it stands now I haven't gone for a run in about 3 months. As for my diet, I have a few habits that are generally considered to be healthy -- e.g., I don't eat meat, try to limit my consumption of animal products, and I gave up drinking alcohol a little while ago -- but the relevant health issues were not a major factor in most of these decisions. Overall I would say that I am somewhat health-conscious, but quite far from being nutty about it.
Well this is more of a "conceptual" equation than a proper equation, but:
This equation summarily represents the enterprise of data analysis.
: A set of observations representing the thing we are trying to predict
: A set of rules or formulas that make a specific prediction for each observation in DATA
: The amount by which MODEL mispredicts DATA
This is obviously a tough one but I'll try to adhere to the top5 format.
SONGS
1. Beethoven - Piano Sonata No. 14 (Moonlight Sonata)
2. The Beatles - Strawberry Fields Forever
3. Dave Brubeck/Paul Desmond - Take Five
4. Paul McCartney - Band On The Run
5. The Flaming Lips - Do You Realize??
BOOKS
1. Richard Dawkins - The Selfish Gene
2. Malcolm Gladwell - Blink
3. Jack London - The Call of the Wild
4. JRR Tolkien - The Hobbit
5. Judd, McClelland & Ryan - Data Analysis: A Model Comparison Approach (my introduction to)
Chick Judd, who, among other things (see book #5 above!), first planted in my head the idea of writing a stats/methods paper, ultimately expanding my view of what kinds of research I can do and leading me to finally see myself as, at least in part, a "methods person."
1. Time series analysis
2. Bayesian statistics
3. Not sure if this counts as a statistical method or methods per se, but I would like to delve deeper into the areas of measurement theory. I have some basic facility with item response theory but would one day like to be an expert in this area. I also am fascinated by what little I know (and it is just a little) about conjoint measurement theory.
Uniform.
Just kidding... how boring would that be?
Probably the binomial distribution, simply because it is one of the only distributions that I actually feel like I really understand (e.g., how it is derived).
Snickerdoodle... I won't go into the detail that you requested as I am afraid it will upset me too much.
I am on board with Bayes, although I have primarily only a high-level, conceptual understanding of Bayesian statistics. There are some who hold up Bayesian methods as the only sensible way of analyzing data, the solution to all of science's problems, etc., and while I am rather skeptical of the ideal portrait that I think some would like to paint of Bayes, I do want to learn more about the Bayesian statistical approach and am open to the prospect that this might really be a more sensible way to do things in a lot of cases.
I like to think that I have at least a basic, passing familiarity with most of the major statistical methods that someone in my position is likely to come across, but there are a few areas that I am frighteningly ignorant about. For example, I have no idea what a "random forest" is, nor a "graphical model." However, I think the biggest and most conspicuous gap in my statistical knowledge is in the area of multivariate linear models, that is, linear models with multiple response variables (e.g., MANOVA, multivariate multiple regression). I simply have never spent any appreciable time learning about these methods and I don't have any good excuses for why not.
In God we trust. All others must bring data.
~W. Edwards Deming
Jake is like an invincible person around here, I don't remember when he joined, in short span of time you become an important MVC here.
Now questions.
1) How did you get into social psychology? What was your graduation?
2) What motivate you to a regular visitor in TS
3) Do you think human can beat bots? Does raptors are protector of human kind?
4) Favourite food/drink?
5) What are your hobbies?
This song is for you (probably a punishment). VIDEO
In the long run, we're all dead.
Jake, please tell us the top six to 10 characteristics about yourself you enjoy them or are proud of.
Then please name the worst six to 10 characteristics you hate about, or you are not proud of, or you are planning to change them in future (this one is 100% optional).
Don't you regret that you left programming as the main profession of your life? Don't you miss it?
Which aspect of psychology do you like the most? (minimum three items!)
Why?
Which aspect of it you don't like or you hate? (minimum 3!)
Why?
Jake, I am currently reading: Mixed Effects Models and Extensions in Ecology with R (2009), by Zuur, Ieno, Walker, Saveliev and Smith.
In it they introduce ML and REML by saying that in most text books, the explanation of the two methods is either too complex for a layman, or REML is simplified too much by saying it is a "mystical way to correct for degrees of freedom".
Do you agree with this? and how would you explan these methods to a layman without over simplifying it?
The earth is round: P<0.05
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