'Initial probability distribution' diaporamas de présentation

6. Markov Chain

6. Markov Chain. State Space. The state space is the set of values a random variable X can take. E.g.: integer 1 to 6 in a dice experiment, or the locations of a random walker, or the coordinates of set of molecules, or spin configurations of the Ising model. Markov Process.

332 views • 28 slides

A Markov Chain approach for ranking treatments in network meta-analysis

250 views • 21 slides

Cross-Entropy Based Testing

Cross-Entropy Based Testing. Hana Chockler, Benny Godlin, Eitan Farchi, Sergey Novikov. Research. Haifa, Israel. The problem: How to test for rare problems in large programs?. Testing involves running the program many times, hoping to find the problem.

195 views • 19 slides

11. Markov Chains (MCs) 2

11. Markov Chains (MCs) 2. Courtesy of J. Bard, L. Page, and J. Heyl. 11.2.1 n-step transition probabilities (review). Transition prob. matrix. n-step transition prob. from state i to j is n-step transition matrix (for all states) is then For instance, two step transition matrix is.

277 views • 14 slides