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Learner.


10h
accepted Understanding a “computationally convenient uniqueness condition” on loadings in factor analysis
10h
comment Understanding a “computationally convenient uniqueness condition” on loadings in factor analysis
No I think they don't. Can you add that too for me? Moreover could you please explain the line "which is simply a singular value decomposition of ..." more elaborately? Thank you for your answer, just that I am having trouble to understand the line and QED. Sorry for my silly question!
11h
comment Finding MLE by factor analyzing the correlation matrix
Actually we want to maximize the likelihood of a multivariate normal distribution where $\Sigma$ has been replaced by $\hat{LL^T}+\hat{\psi}$. Thus the MLE of the loading and specific variance parameters of a factor model are found.
2d
asked Finding MLE by factor analyzing the correlation matrix
2d
asked Understanding a “computationally convenient uniqueness condition” on loadings in factor analysis
Apr
14
awarded  Notable Question
Apr
10
comment Is there any general formulation procedure of probability density functions?
How to find that function? What mathematical methods are used?
Apr
9
asked Is there any general formulation procedure of probability density functions?
Mar
23
asked Meaning of weights in calculating the Myer's blended index
Mar
8
asked Problem in understanding an expectation
Mar
3
asked Some basic questions related to the moments of a probability distribution
Feb
10
awarded  Popular Question
Feb
1
accepted How to calculate probabilities when there is censoring?
Jan
26
comment How to calculate probabilities when there is censoring?
Thank you gung. But if the 2 patients got censored due to some other reason (left the study) within the study period? Should the probability estimate be 0.4 in that case?
Jan
24
comment How to calculate probabilities when there is censoring?
Actually in this clinical trial patients will either remit or will fail to remit (meaning death before remission). Some patients will get censored before remission. In the case described in the question 4 patients achieved remission, 4 people died without achieving remission and 2 people got censored before remission.
Jan
22
comment Conditional probability of an event given two independent events
The other think I am still struggling to understand is: how the assumption that "the solving times of any non-solvers are larger than any of the actual solving times" helped us get the right probability. Could you please explain it in plain language for me? I'm grateful for your kind help. Thanks a lot.
Jan
22
comment Conditional probability of an event given two independent events
Dear whuber, thanks for your brilliant solution to this problem. In fact the verification of the answer was so nice of you! I was thinking the probability will be something like: $\frac{P(\text{k gets the next task)}}{\text{P(k solves the problem)}\text{P(there are at least j solvers)}}$. Could you please tell me why we didn't need something like that in the denominator? Are these two conditions automatically satisfied?
Jan
22
accepted Conditional probability of an event given two independent events
Jan
19
revised Conditional probability of an event given two independent events
Rephrased the question.
Jan
17
asked Conditional probability of an event given two independent events