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Stochastic-Process Limits: An Introduction to Stochastic-Process ...
Stochastic Process Limits are useful and interesting because they generate simple approximations for complicated stochastic processes and also help explain the statistical regularity associated with a...
Classification of Stochastic Runge-Kutta Methods for the Weak App...
In the present paper, a class of stochastic Runge-Kutta methods containing the second order stochastic Runge-Kutta scheme due to E. Platen for the weak approximation of Itô stochastic differential equ...
Signal-to-noise ratio enhancement for MEMS resonant sensors with ...
The signature of stochastic resonance is that additional noise surprisingly enhances the signal-to-noise ratio (SNR). A noise-adaptive system that learns to add an optimal amount of noise to trigger s...
Stochastic Imperfect Inventory Models with Rework | Springer Natu...
This chapter focusses on imperfect inventory control model with rework process of unhealthy items. Eight mathematical models under different assumptions such as stochastic demand, stochastic defective...
Versatile stochastic dot product circuits based on nonvolatile me...
The key operation in stochastic neural networks, which have become the state-of-the-art approach for solving problems in machine learning, information theory, and statistics, is a stochastic dot-produ...
Stochastic Imperfect Inventory Models with Rework | Springer Natu...
This chapter focusses on imperfect inventory control model with rework process of unhealthy items. Eight mathematical models under different assumptions such as stochastic demand, stochastic defective...
Brownian Motion and Stochastic Calculus | Springer Nature Link
This book is designed as a text for graduate courses in stochastic processes. It is written for readers familiar with measure-theoretic probability and discrete-time processes who wish to explore stoc...
Stochastic resonance: from climate to biology - ADS
In this lecture, I will review some basic aspects of the mechanism of stochastic resonance, first introduced as a possible mechanism to explain long term climatic variation. Since then, there have bee...
Weak convergence rates for stochastic evolution equations and app...
We establish weak convergence rates for noise discretizations of a wide class of stochastic evolution equations with non-regularizing semigroups and additi
Weak convergence rates for stochastic evolution equations and app...
We establish weak convergence rates for noise discretizations of a wide class of stochastic evolution equations with non-regularizing semigroups and additi
Learning Stochastic Timed Automata from Sample Executions | Sprin...
Generalized semi-Markov processes are an important class of stochastic systems which are generated by stochastic timed automata. In this paper we present a novel methodology to learn this type of stoc...
Infinite Horizon LQ Zero-Sum Stochastic Differential Games with M...
This paper studies a class of continuous-time two person zero-sum stochastic differential games characterized by linear It?’s differential equation with state-dependent noise and Markovian parameter j...
Fungal community assembly in drought-stressed sorghum shows stoch...
Community assembly of crop-associated fungi is thought to be strongly influenced by deterministic selection exerted by the plant host, rather than stochastic processes. Here we use a simple, sorghum s...
A Transformation of Hybrid Petri Nets with Stochastic Firings int...
We present a transformation of Hybrid Petri nets extended with stochastic firings (HPnGs) into a subclass of Stochastic Hybrid Automata (SHA), thereby making HPnGs amenable to techniques from that dom...
The Complexity of Solving Stochastic Games on Graphs | Springer N...
We consider some well-known families of two-player zero-sum perfect-information stochastic games played on finite directed graphs. The families include stochastic parity games, stochastic mean payoff ...
Analysis of a novel stochastic SIRS epidemic model with two diffe...
This paper presents a stochastic SIRS epidemic model with two different nonlinear incidence rates and double epidemic asymmetrical hypothesis, and we devote to develop a mathematical method to obtain ...
Stochastic Differential Systems: Proceedings of the IFIP-WG 7/1 W...
The Fifth IFIP Working Conference on Stochastic Differential Systems continues the traditional line of previous conferences in Kyoto (1976), Vilnjus (1978), Visegrad (1980), and Marseille-Luminy (1984...
Stochastic gene expression in auxin signaling in the floral meris...
Cells display striking stochasticity in gene expression, which plays an important role in development, disease, and regeneration. Previous studies have found stochastic gene expression in bacteria, ye...
Stochastic quantization and holographic Wilsonian renormalization...
We study relation between stochastic quantization and holographic Wilsonian renormalization group flow. Considering stochastic quantization of the boundary on-shell actions with the Dirichlet boundary...
Stochastic World | Springer Nature Link
This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, i...