Advanced Statistics and Probability MCQ's

1.  What are the features of multivariate random variable?

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   BOTH

2.  If time space or state space is discrete, ___________.

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   Markov process can be termed as discrete-time Markov chains

3.  What are kernels?

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   Small

4.  What is density estimation?

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   It estimates probability density function.

5.  What is posterior probability?

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   The conditional probability of the event after the evidence is taken into consideration!

6.  What are the features of probability density function?

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   All

7.  Principal component analysis reduces ____________.

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   Correlated

8.  What is Kernel density estimation?

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   Non-parametric

9.  Which estimation can be represented by a single value?

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   Point estimation

10.  Probability mass function is also known as ______________________.

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   Density

11.  What is Random walk?

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   Cannot predict outcome in advance

12. If the area under the PDF curve is zero, then __________________.

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   1

13. _____________ is an example of Multivariate analysis in which relationship exists between a dependent variable and independent variable/variables.

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   Partial

14. What is multivariate statistics?

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   All

15. What is prior probability?

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   Sufficient