+ Reply to Thread
Results 1 to 3 of 3

Thread: Covariance matrix singularity

  1. #1
    Points: 10, Level: 1
    Level completed: 19%, Points required for next Level: 40

    Posts
    2
    Thanks
    0
    Thanked 0 Times in 0 Posts

    Covariance matrix singularity



    Hello,

    Could anyone explain, why the matrix of covariance becomes singular when the the number of parameters P is less then the number of samples N?

    Thank you in advance,
    Elena

  2. #2
    RotParaTon
    Points: 46,194, Level: 100
    Level completed: 0%, Points required for next Level: 0
    Awards:
    Discussion EnderPosting AwardFrequent PosterCommunity AwardMaster Tagger
    Dason's Avatar
    Location
    Ames, IA
    Posts
    9,072
    Thanks
    211
    Thanked 1,605 Times in 1,375 Posts

    Re: Covariance matrix singularity

    Did you mean to say when P is greater than the number of samples?
    "His programming is malfunctioning. It begins! Get your weapons, he's going to become a killbot!!!" - bryangoodrich

  3. #3
    Points: 10, Level: 1
    Level completed: 19%, Points required for next Level: 40

    Posts
    2
    Thanks
    0
    Thanked 0 Times in 0 Posts

    Re: Covariance matrix singularity


    I meant that we have a set of variables X1,... Xp and n samples for each variable. Then it says that when p>>n the covariance matrix will be singular. Why?

+ Reply to Thread

Tags for this Thread

Posting Permissions

  • You may not post new threads
  • You may not post replies
  • You may not post attachments
  • You may not edit your posts








Advertise on Talk Stats