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1. Random walk in random and non-random environments
by Révész, Pál
2013, 3rd edition., ISBN 9789814447508, xviii, 402
Random walks (Mathematics)
Book
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2. A non-random walk down Wall Street
by Lo, Andrew W. (Andrew Wen-Chuan) and MacKinlay, Archie Craig, 1955
1999, ISBN 9780691057743, xxiii, 424
For over half a century, financial experts have regarded the movements of markets as a random walk--unpredictable meanderings akin to a drunkard's unsteady... 
Prices | Mathematical models | Stocks | Random walks (Mathematics) | Investments | Finance & Accounting | Finance | Investments & Securities | BUSINESS & ECONOMICS
Book
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3. Full Text Quantum walks: a comprehensive review
by Venegas-Andraca, Salvador Elías
Quantum Information Processing, ISSN 1570-0755, 10/2012, Volume 11, Issue 5, pp. 1015 - 1106
Quantum walks, the quantum mechanical counterpart of classical random walks, is an advanced tool for building quantum algorithms that has been recently shown... 
Quantum Computing | Quantum walks | Quantum algorithms | Data Structures, Cryptology and Information Theory | Mathematical Physics | Quantum Information Technology, Spintronics | Quantum Physics | Quantum and classical simulation of quantum systems | Physics | Quantum computing | ABSORPTION PROBLEMS | CELLULAR-AUTOMATA | PHYSICS, MULTIDISCIPLINARY | CLASSICAL RANDOM-WALKS | MECHANICAL HAMILTONIAN MODELS | SCATTERING-THEORY | PHYSICS, MATHEMATICAL | ONE-DIMENSION | GENERAL GRAPHS | LIMIT-THEOREMS | PROGRAMMING-LANGUAGES | TURING-MACHINES
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4. Non-homogeneous random walks
: Lyapunov function methods for near-critical stochastic systems
by Menʹshikov, M. V. (Mikhail Vasilʹevich) and Popov, Serguei, 1972- author and Wade, Andrew 1981- author. (Andrew R.)
2017, Cambridge tracts in mathematics, ISBN 1107026695, Volume 209., xviii, 363
Stochastic systems provide powerful abstract models for a variety of important real-life applications: for example, power supply, traffic flow, data... 
Random walks (Mathematics) | Stochastic processes
Book
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5. Partial differential equations of applied mathematics
by Zauderer, Erich
2006, 3rd ed., Pure and applied mathematics (Interscience Publishers), ISBN 9780471690733, xxvii, 930
This new edition features the latest tools for modeling, characterizing, and solving partial differential equations The Third Edition of this classic text... 
Differential equations, Partial
Book
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6. Elements of the random walk
: an introduction for advanced students and researchers
by Rudnick, Joseph Alan, 1944 and Gaspari, George David
2004, ISBN 9780521828918, xv, 329
This book was originally published in 2004. Random walks have proven to be a useful model in understanding processes across a wide spectrum of scientific... 
Random walks (Mathematics)
Book
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7. Random walks and heat kernels on graphs
by Barlow, M. T., author
2017, London Mathematical Society lecture note series, ISBN 1108125603, Volume 438, xi, 226 pages
This introduction to random walks on infinite graphs gives particular emphasis to graphs with polynomial volume growth. It offers an overview of analytic... 
Markov processes | Graph theory | Heat equation | Random walks (Mathematics)
Book
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8. Full Text Dynamic random walks
: theory and applications
by Guillotin-Plantard, Nadine and Schott, René
2006, ISBN 0444527354, 279
The aim of this book is to report on the progress realized in probability theory in the field of dynamic random walks and to present applications in computer... 
Random walks (Mathematics) | Mathematics | Stochastic processes
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9. Random walk
: a modern introduction
by Lawler, Gregory F., 1955 and Limic, Vlada
2010, Cambridge studies in advanced mathematics, ISBN 9780521519182, Volume 123, xii, 364
"Random walks are stochastic processes formed by successive summation of independent, identically distributed random variables and are one of the most studied... 
Random walks (Mathematics) | Stochastic processes
Book
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10. Mathematics of probability
by Stroock, Daniel W
2013, Graduate studies in mathematics, ISBN 9781470409074, Volume 149, xi, 284
Stochastic processes | Probabilities
Book
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11. The self-avoiding walk
by Madras, Neal Noah, 1957 and Slade, Gordon Douglas, 1955
1993, Probability and its applications., ISBN 3764335890, xiv, 425
Self-avoiding walks (Mathematics) | Statistical physics
Book
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12. Full Text Elements of random walk and diffusion processes
by Ibe, Oliver C and Ibe, Oliver C
2013, Wiley series in operations research and management science, ISBN 111862985X, 278
Presents an important and unique introduction to random walk theory Random walk is a stochastic process that has proven to be a useful model in understanding... 
Applied | Mathematics | Random walks (Mathematics) | Diffusion processes
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13. First-passage phenomena and their applications
by Metzler, Ralf editor of compilation and Oshanin, G. editor of compilation. (Gleb) and Redner, Sidney, 1951- editor of compilation
2014, ISBN 9814590282, xi, 595
Study and teaching (Graduate) | Statistical mechanics | Random walks (Mathematics) | Stochastic processes
Book
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14. Asymptotic analysis of random walks
: heavy-tailed distributions
by Borovkov, A. A. 1931- (Aleksandr Alekseevich) and Borovkov, K. A. (Konstantin Aleksandrovich)
2008, Encyclopedia of mathematics and its applications, ISBN 052188117X, Volume 118, xxix, 625
This book focuses on the asymptotic behaviour of the probabilities of large deviations of the trajectories of random walks with 'heavy-tailed' (in particular,... 
Asymptotic expansions | Random walks (Mathematics)
Book
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15. Applied semi-Markov processes
by Janssen, Jacques, 1939 and Manca, Raimondo
2006, ISBN 9780387295473, xii, 309
Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems. The book is self-contained and, starting from a low level... 
Markov processes | Renewal theory | Mathematics | Quality Control, Reliability, Safety and Risk | Probability Theory and Stochastic Processes | Mathematical Modeling and Industrial Mathematics | Finance /Banking
Book
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16. Full Text Intrinsic random walks and sub-Laplacians in sub-Riemannian geometry
by Boscain, Ugo and Neel, Robert and Rizzi, Luca
Advances in Mathematics, ISSN 0001-8708, 07/2017, Volume 314, pp. 124 - 184
On a sub-Riemannian manifold we define two types of Laplacians. The macroscopic LaplacianΔω, as the divergence of the horizontal gradient, once a volume ω is... 
Sub-Riemannian volume | Sub-Laplacian | Convergence of random walks | Sub-Riemannian geometry | MATHEMATICS | CURVATURE-DIMENSION INEQUALITIES | MANIFOLDS | Probability | Mathematics | Optimization and Control | Differential Geometry | Metric Geometry
Journal Article