Stochastic Process.

- Markov Processes, Gaussian Processes, and Local Times.
- About This Item!
- Majaribio ya Imani (Tempting Faith) (Swahili Edition).
- AMS eBooks: Memoirs of the American Mathematical Society.

Michael B. A Ray-Knight theorem for symmetric Markov processes. Stewart N. Ethier and Thomas G. Characterization and convergence. Random walks and a sojourn density process of Brownian motion. Yves Le Jan.

## Large deviations for Riesz potentials of additive processes

Markov loops and renormalization. Markov Paths, loops and fields - From loop clusters and random interlacement to the free field. Markov processes, Gaussian processes, and local times, volume of Cambridge Studies in Advanced Mathematics. Cambridge University Press, Cambridge.

## Markov Processes, Gaussian Processes, and Local Times

Illinois J. Daniel Ray. Sojourn times of diffusion processes Edge-reinforced random walk, Vertex-Reinforced Jump Process and the supersymmetric hyperbolic sigma model - Sabot, Christophe et al. Alain-Sol Sznitman. An isomorphism theorem for random interlacements.

### 8 editions of this work

Random interlacements and the Gaussian free field. Topics in occupation times and Gaussian free fields. Zurich Lectures in Advanced Mathematics. Wendelin Werner. Ding, Jian; Zeitouni, Ofer. A sharp estimate for cover times on binary trees. Stochastic Process. Gaussian and non-Gaussian random fields associated with Markov processes. MR Dynkin, E. Local times and quantum fields. Seminar on stochastic processes, Gainesville, Fla.

MR Eisenbaum, Nathalie. A Ray-Knight theorem for symmetric Markov processes. MR Fernique, X. Lecture Notes in Math. MR Janson, Svante. Gaussian Hilbert spaces. Cambridge Tracts in Mathematics, Cambridge University Press, Cambridge, Random walk: a modern introduction. Cambridge Studies in Advanced Mathematics, Markov chains and mixing times.

With a chapter by James G. Propp and David B. Lyons, with Y.

## Stochastic process

Probability on Trees and Networks. In preparation. Marcus, Michael B. Sample path properties of the local times of strongly symmetric Markov processes via Gaussian processes. MR Marcus, Michael B. Markov processes, Gaussian processes, and local times. Covering problems for Markov chains.