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In probability theory, a telescoping Markov chain (TMC) is a vector-valued stochastic process that satisfies a Markov property and admits a hierarchical...

A Markov chain or Markov process is a stochastic model describing a sequence of possible events in which the probability of each event depends only on...

Absorbing Markov chain Continuous-time Markov chain Discrete-time Markov chain Nearly completely decomposable Markov chain Quantum Markov chain Telescoping Markov...

of hidden Markov models (HMM) has no known closed-form solution. However, it has known upper and lower bounds. Let the underlying Markov chain X 1 : ∞ {\displaystyle...

" The first generation of undersea neutrino telescope projects began with the proposal by Moisey Markov in 1960 "...to install detectors deep in a lake...

history, the attenuation of dust and stellar mass. She created GalMC, a Markov chain Monte Carlo algorithm, that could be used to infer age, metallicity and...

effects on the power spectrum, and results are often calculated using Markov chain Monte Carlo sampling techniques. With the increasingly precise data provided...

viewed as a variation on Foster's theorem for Markov chains. However, it does not require a Markov chain structure. Theorem (Lyapunov Drift). Suppose there...

_{j=1}^{K}(-1)^{j-1}\left({L-1 \choose j-1}+{L-1 \choose j}\right)\mathbb {P} (E)} which telescopes to ( 1 + ( L − 1 K ) ) P ( E ) ≥ P ( E ) {\displaystyle \left(1+{L-1 \choose...

determine the appropriate actions for every node of the tree. Discrete-time Markov decision processes (MDP) are planning problems with: durationless actions...

Andrey Markov, Sr., invented the Markov chains, proved Markov brothers' inequality, author of the hidden Markov model, Markov number, Markov property...

1})-f(x_{i})|=|f(b)-f(a)|} from the fact that the sum on the left is telescoping. In particular, the Cantor function is a well-known example of a function...

Morphological Catalog of Galaxies MCMC - (astrophysics terminology) Markov chain Monte Carlo MCO – (spacecraft) Mars Climate Orbiter MDS – (observing...

results of Eberhard Hopf for Riemann surfaces of negative curvature. Markov chains form a common context for applications in probability theory. Ergodic...

attacks on elastic Cloud-based applications based on application-level markov chain checkpoints". CLOSER Conference. pp. 622–628. doi:10.5220/0004963006220628...

September 2016. Retrieved 11 February 2019. Markova, N.; Prinja, R. K.; Markov, H.; Kolka, I.; Morrison, N.; Percy, J.; Adelman, S. (2008). "Wind structure...

solutions for all other TSPs on which the method had been tried. Optimized Markov chain algorithms which use local searching heuristic sub-algorithms can find...

Marc Aaronson (1950–1987) was crushed to death in the dome of the 4-m telescope at Kitt Peak. "Police Say Excited Sky Diver Forgot to Put on His Parachute"...

astonishing and fundamental pattern of basal polytomy and phylogenetic telescoping at or near the Cambrian boundary, as seen in most major animal lineages...

method of Chand et al., discrediting those results. King et al. have used Markov chain Monte Carlo methods to investigate the algorithm used by the UNSW group...