""Markov Chains"" — Epstein Files Search

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EFTA01139453Set 9

2015-11-1034p24,253w

this case the prob- lem can be reduced to computing absorption probabilities in Markov chains, where each state represents the number of mu- tants. Hence, the Markov chain is linear ... number of vertices of the graphs, and because absorption probabilities in Markov chains can be computed in polynomial time (by solving a set of linear equalities), we obtain the desired ... fitness function is LBF. 5.1 Upper bound Our algorithms is based on an exponential Markov chain construction. We first describe what is a Markov chain and Markov chains associated with

https://www.justice.gov/epstein/files/DataSet%209/EFTA01139453.pdf

EFTA01202576Set 9

2015-09-0312p6,214w

Intuition for theorem 2.1 The result is obtained by a simple analysis of Markov chains. We consider the Markov chain representing the evolutionary process on the graph. For a vertex ... Initialize the mutant at vertex i, then when the state of the Markov chain changes, the mutant is replaced by a wild-type with probability at least ... Intuition for theorems 2.2 and 2.3 For the Looping Star, we again consider the Markov chain for the evolutionary process. By symmetry, we can consider the Markov chain

https://www.justice.gov/epstein/files/DataSet%209/EFTA01202576.pdf

EFTA00611781Set 9

2013-12-137p6,384w

results are based on a mathematical analysis of the underlying stochastic processes. For Markov chains on the one- dimensional grid, we describe recurrence relations for the Intuition behind Theorem ... expectation would not have been exponential). In case of independent searches, the indepen- Markov chain on the one-dimensional grid dence ensures that the probability that all searches fail ... probabilities that every single search fails. Using the evolutionary random walk as a Markov chain on the one- above arguments we establish Theorem 2 (for details see Section 8 dimensional

https://www.justice.gov/epstein/files/DataSet%209/EFTA00611781.pdf

EFTA00611788Set 9

2013-12-137p6,378w

expectation would not have been exponential). In case of independent searches, the indepen- Markov chain on the one-dimensional grid dence ensures that the probability that all searches fail ... probabilities that every single search fails. Using the evolutionary random walk as a Markov chain on the one- above arguments we establish Theorem 2 (for details see Section 8 dimensional ... first convenient to view the evolutionary walk evolutionary random walk is a Markov chain on the one-dimensional taking place in the sequence space ofall sequences oflength L, under grid

https://www.justice.gov/epstein/files/DataSet%209/EFTA00611788.pdf

EFTA00810742Set 9

2018-05-2218p18,831w

player game. The overall Prisoner's Dilemma survival of the two individuals forms a Markov chain. As the number of iterations tends to infinity, all Survival game probabilities of survival ... using standard techniques for We consider two unconditional strategies. A and B. When both Markov chains, and this provides a useful framework for decom- players are present, their individual survival ... Appendix we show how these probabilities are obtained using techniques for Markov chains. Eqs. (8) through (15) make it clear that this paired survival process is one in which

https://www.justice.gov/epstein/files/DataSet%209/EFTA00810742.pdf

EFTA02444385Set 11

special name. We decided to call them Markovfrequencies because of the natural analogy with Markov chains. In fact: 1) Our tree consists of two chains which are joined ... node corresponds to the reference class that determines the next node. As in a Markov chain, the frequency in each node depends only upon its predecessor, not upon previous nodes

https://www.justice.gov/epstein/files/DataSet%2011/EFTA02444385.pdf

EFTA01996482Set 10

2013-03-222p392w

more details about this project and leave us your comments. Celebrating 100 Years of Markov Chains D Just in time for their 100th birthday, Mathematica 9 introduced fully automated support ... discrete- and continuous- time Markov chains. The seamless integration with Mathematica's powerful hybrid symbolic-numeric computation engine makes modeling real-world Markov and queueing examples easier and more flexible

https://www.justice.gov/epstein/files/DataSet%2010/EFTA01996482.pdf

EFTA01199747Set 9

2010-09-2629p24,446w

simple. In that 187 126 case, the repeated game can be described as a Markov chain, as the outcome in the next round only depends on the outcome

https://www.justice.gov/epstein/files/DataSet%209/EFTA01199747.pdf

EFTA01115268Set 9

variability. To this end, I will present two methods within the Bayesian framework (utilising Markov chain Monte Carlo methods) to model the gluco-regulatory system, insulin and glucagon absorption kinetics

https://www.justice.gov/epstein/files/DataSet%209/EFTA01115268.pdf

EFTA01093330Set 9

2015-01-273p1,474w

inter-patient variability. To this end, I developed models within the Bayesian framework (utilising Markov chain Monte Carlo methods) of the gluco-regulatory system, insulin and glucagon absorption kinetics

https://www.justice.gov/epstein/files/DataSet%209/EFTA01093330.pdf

EFTA00605641Set 9

2015-01-273p1,482w

inter-patient variability. To this end, I developed models within the Bayesian framework (utilising Markov chain Monte Carlo methods) of the gluco-regulatory system, insulin and glucagon absorption kinetics

https://www.justice.gov/epstein/files/DataSet%209/EFTA00605641.pdf

EFTA01074265Set 9

2014-04-1128p11,574w

becomes particularly simple. In that case, the repeated game can be described as a Markov chain, as the outcome in the next round only depends on the outcome

https://www.justice.gov/epstein/files/DataSet%209/EFTA01074265.pdf

EFTA00284089Set 9

tried dia- change its rhythm, mode, or harmony. Beyond that, grams; other psychologists used Markov chains and individuals differ even more. Some listeners squirm matrices, but none came to much

https://www.justice.gov/epstein/files/DataSet%209/EFTA00284089.pdf

EFTA02451626Set 11

2016-09-052p392w

problem for typical statistical methods, which don't involve general abstract knowledge representation (just markov chains; or hierarchical patterns with a fixed depth as in a typical deep neural

https://www.justice.gov/epstein/files/DataSet%2011/EFTA02451626.pdf

Corpus: 1990-03-17 – 2025-12-01

November 2015

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Results by Dataset14 total

Set 9

11

Set 10

1

Set 11

2