REST stands for Representational State Transfer, this basically means that each unique URL is a representation of some object. You can get the contents of that object using an HTTP GET, use a POST, PUT, or DELETE to modify the object (in practice most of the services use a POST for this).
— soap vs REST (most interviewers probably focus here) —
* REST has only GET POST PUT DELETE; soap uses custom methods “getAge()” etc
* SOAP takes more dev effort, despite it’s name
* SOAP dominates enterprise apps
The getattr function uses the same lookup rules as ordinary attribute access, and you can use it both with ordinary attributes and methods:
result = obj.method(args)
func = getattr(obj, “method2”)
result = func(args)
# or, in one line:
result = getattr(obj, “method2”)(args)
In the stochastic probability (not “statistics”) literature, at least in the beginner level literature, I often see mathematicians elude the notion of a time-varying process. I think they want a more generalized and more rigorous terminology, so they prefer filtration.
I feel most of the time, filtration takes place through time.
Here’s one artificial filtration without a time element — cast a bunch of dice at once (like my story cube) but reveal one at a time.
Lawler defined BM with 2 params – drift and variance v, but the meaning of variance is tricky.
Note a BM is about a TVRV and notice the difference between a N@T vs TVRV. A N@T could be modeled by a Gaussian variable with a variance. The variance v of a BM is about the variance of increment. Specifically, the increment over deltaT is a regular Gaussian RV with a variance = deltaT*v