In Exercises 1 and 2, determine whether P is a stochastic matrix. If P is not a stochastic matrix, explain why not. 1. a. p = [ .3 .4 .7 .6 ] b. p = [ .3 .7 .4 .6 ]
In Exercises 1 and 2, determine whether P is a stochastic matrix. If P is not a stochastic matrix, explain why not. 1. a. p = [ .3 .4 .7 .6 ] b. p = [ .3 .7 .4 .6 ]
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Introduction: MARKOV PROCESS And MARKOV CHAINS // Short Lecture // Linear Algebra; Author: AfterMath;https://www.youtube.com/watch?v=qK-PUTuUSpw;License: Standard Youtube License
Stochastic process and Markov Chain Model | Transition Probability Matrix (TPM); Author: Dr. Harish Garg;https://www.youtube.com/watch?v=sb4jo4P4ZLI;License: Standard YouTube License, CC-BY