John Mohr

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Negative Entropy, Zero temperature and stationary Markov chains on the interval. Abstract We analyze properties of maximizing stationary Markov probabilities on the Bernoulli space [0, 1] N , which means we consider stationary Markov chains with state space given by the interval S = [0, 1]. More precisely, we consider ergodic optimization for a continuous(More)
We analyze some properties of maximizing stationary Markov probabilities on the (modified) Bernoulli space [0, 1] N , which means we consider stationary Markov chains with state space S = [0, 1]. More precisely, we consider ergodic optimization for a continuous potential A, where A : [0, 1] N → R which depends only on the two first coordinates of [0, 1] N.(More)
To elaborate, during his therapy , our patient was diligently monitored weekly and C-reactive protein was used as a surrogate marker of response, which decreased from an intimal measure of 30.1 mg/L to 6.2 mg/L by week 9, a point at which we could not justify prolonging the treatment further. We emphasize that our patient's treatment comprised doses of(More)
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