Let x ∈ r n×p be a n × p matrix and y ∈ r n . the gaussian linear model with known variance σ 2 > 0 is defined as p = {normaln(xθ, σ2 in) | θ ∈ r p } , where normaln denotes the n-variate gaussian distribution. (a) prove that θ is identifiable if and only if x has full column rank

step-by-step explanation:

pakistan's principal natural resources are arable land and water. about 25% of pakistan's agriculture accounts for about 21% [1] of gdp and employs about 43% of the labour force. in pakistan, the most agricultural province is punjab where wheat and cotton are the most grown.

aloha~! my name is zalgo and i am here to you out on this amazing day. to answer your question, yes, nonzero numbers can have a greatest common factor and that would be 1. still don't get it? let me considering every number is divisible by 1 and hence every number has 1 as a factor of theirs. so, if 2 nonzero numbers didn't share any gcf (greatest common factor), they would still have a factor in common and that would be 1.

i hope that this ! : p

"stay and stay proud! " - zalgo

(by the way, do you mind marking me as brainliest? i'd greatly appreciate it! mahalo! x3)