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Top Questions
46
votes
What is the most intuitive dependent type theory I could learn?
lo.logic
type-theory
dependent-type
asked Apr 17 '11 at 15:41
cstheory.stackexchange.com
45
votes
How do 'tactics' work in proof assistants?
lo.logic
type-theory
proof-assistants
asked Mar 27 '11 at 23:35
cstheory.stackexchange.com
42
votes
zip(list1, list2) in Jinja2?
python
code-generation
jinja2
asked Mar 6 '11 at 2:31
stackoverflow.com
40
votes
pandas.read_csv from string or package data
python
csv
python-3.x
numpy
pandas
asked Dec 20 '13 at 4:47
stackoverflow.com
24
votes
Do dependent types give you everything subtyping does?
lo.logic
pl.programming-languages
type-theory
asked May 10 '11 at 16:15
cstheory.stackexchange.com
24
votes
Weakly informative prior distributions for scale parameters
distributions
bayesian
modeling
prior
maximum-entropy
asked Jan 24 '11 at 18:02
stats.stackexchange.com
23
votes
What invariant do RRB-trees maintain?
algorithm
scala
data-structures
clojure
tree
asked Dec 22 '12 at 22:38
stackoverflow.com
22
votes
Best measure theoretic probability theory book?
reference-request
probability-theory
measure-theory
asked May 1 '11 at 6:14
math.stackexchange.com
19
votes
What MCMC algorithms/techniques are used for discrete parameters?
bayesian
mcmc
asked Mar 21 '11 at 15:51
stats.stackexchange.com
17
votes
Storing multidimensional arrays in pandas DataFrame columns
python
pandas
asked Apr 4 '13 at 8:43
stackoverflow.com
1
2
3
next
Top Answers
180
What is the difference between fixed effect, random effect and mixed effect models?
stats.stackexchange.com
9
how to sample multiple chains in PyMC3
stackoverflow.com
9
What practical implications/interpretations are there of a kurtotic distribution?
stats.stackexchange.com
8
What methods can be used to specify priors from data?
stats.stackexchange.com
6
What's a good prior distribution for degrees of freedom in a t distribution?
stats.stackexchange.com
6
What is the Bayesian counterpart to a two-sample t-test with unequal variances?
stats.stackexchange.com
5
Estimating distribution parameters from few data points
stats.stackexchange.com
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