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10.1137/140987900 http://scihub22266oqcxt.onion/10.1137/140987900 C4610747!4610747 !26491218     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26491218 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       SIAM+J+Matrix+Anal+Appl 2015 ; 36 (3 ): 917-941 Nephropedia Template TP {{tp|p=26491218 |t=2015. SHARP ENTRYWISE PERTURBATION BOUNDS FOR MARKOV CHAINS |pdf=|usr=}}{{26491218 }} gab.com Text SHARP ENTRYWISE PERTURBATION BOUNDS FOR MARKOV CHAINS JO: SIAM J Matrix Anal Appl http://www.kidney.de/pget.php?&tw=1&pmid=26491218 #FOAvip For many Markov chains of practical interest, the invariant distribution is extremely sensitive to perturbations of some entries of the transition matrix, but insensitive to others; we give an example of such a chain, motivated by a problem in computational statistical physics. We have derived perturbation bounds on the relative error of the invariant distribution that reveal these variations in sensitivity. Our bounds are sharp, we do not impose any structural assumptions on the transition matrix or on the perturbation, and computing the bounds has the same complexity as computing the invariant distribution or computing other bounds in the literature. Moreover, our bounds have a simple interpretation in terms of hitting times, which can be used to draw intuitive but rigorous conclusions about the sensitivity of a chain to various types of perturbations. Twit Text FOAVip SHARP ENTRYWISE PERTURBATION BOUNDS FOR MARKOV CHAINS ????SIAM J Matrix Anal Appl http://www.kidney.de/pget.php?&tw=1&pmid=26491218 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26491218 #FOAvip English Wikipedia <ref>{{Cite pmid|26491218 }}</ref> SHARP ENTRYWISE PERTURBATION BOUNDS FOR MARKOV CHAINS #MMPMID26491218 Thiede E ; VAN Koten B ; Weare J SIAM J Matrix Anal Appl 2015[]; 36 (3 ): 917-941 PMID26491218 show ga For many Markov chains of practical interest, the invariant distribution is extremely sensitive to perturbations of some entries of the transition matrix, but insensitive to others; we give an example of such a chain, motivated by a problem in computational statistical physics. We have derived perturbation bounds on the relative error of the invariant distribution that reveal these variations in sensitivity. Our bounds are sharp, we do not impose any structural assumptions on the transition matrix or on the perturbation, and computing the bounds has the same complexity as computing the invariant distribution or computing other bounds in the literature. Moreover, our bounds have a simple interpretation in terms of hitting times, which can be used to draw intuitive but rigorous conclusions about the sensitivity of a chain to various types of perturbations. äSHARP ENTRYWISE PERTURBATION BOUNDS FOR MARKOV CHAINS (epmc).pdf DeepDyve Pubget Overpricing